{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "670l7xa8",
   "metadata": {},
   "source": [
    "# Phase 4 — Experiment 2: Synthetic Data Augmentation\n",
    "## *Beyond WhAM* · CS 297 Final Paper · April 2026\n",
    "\n",
    "---\n",
    "\n",
    "This notebook runs the second experiment: **can WhAM-generated synthetic codas improve DCCE classification, particularly for individual ID — the data-scarce task?**\n",
    "\n",
    "We test the hypothesis that WhAM, as a generative model of sperm whale vocalisations, can act as a *domain-specific data augmentor* to supplement the limited DSWP training set.\n",
    "\n",
    "### Experimental design\n",
    "\n",
    "| N_synth | Synthetic codas added | Total D_train |\n",
    "|---|---|---|\n",
    "| 0 | None (Phase 3 baseline) | 1,106 |\n",
    "| 100 | 100 new codas | 1,206 |\n",
    "| 500 | 500 new codas | 1,606 |\n",
    "| 1,000 | 1,000 new codas | 2,106 |\n",
    "\n",
    "For each N_synth:\n",
    "1. Sample N_synth prompt codas from D_train (stratified by unit: ~⅓ A, ⅓ D, ⅓ F)\n",
    "2. Generate synthetic coda via WhAM coarse_vamp (80% random mask — unit-conditional)\n",
    "3. Assign pseudo-labels: unit and coda type from the prompt coda\n",
    "4. Retrain DCCE-full on D_train ∪ D_synth\n",
    "5. Evaluate on **real-only** D_test (same split indices as all prior phases)\n",
    "\n",
    "**Key metric**: Individual ID macro-F1 — most sensitive to additional training data (762 IDN-labeled codas; 12 classes; Phase 3 best: 0.731).\n",
    "\n",
    "### Why this matters (Sharma et al. 2024; Goldwasser et al. 2023)\n",
    "\n",
    "Sperm whale field data is expensive to collect: each unit has only 273–892 recorded codas. If WhAM faithfully captures unit-level acoustic identity, its generated codas could serve as a cheap expansion of training sets for downstream classification.\n",
    "\n",
    "> **Novel contribution**: This is the first controlled study of WhAM as a data > augmentor for cetacean bioacoustics.\n",
    "\n",
    "### Pseudo-label strategy (Tarvainen & Valpola, 2017)\n",
    "\n",
    "For synthetic coda *i* generated from prompt coda *p*:\n",
    "- **Unit label**: copied from unit(*p*) — preserved by unit-conditional generation\n",
    "- **Coda type label**: copied from type(*p*) — used for the rhythm auxiliary head\n",
    "- **ICI sequence (pseudo)**: copied from ICI(*p*) — the prompt's timing pattern;   WhAM generates mel-level structure but click timing structure is influenced by   the conditioning tokens\n",
    "- **Individual ID**: **not assigned** — id_label head is masked for synthetic codas   (generation cannot preserve within-unit individual identity)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "y5i1qzbb",
   "metadata": {},
   "source": [
    "## 1. Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5330vbiv",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:34:52.037792Z",
     "iopub.status.busy": "2026-05-01T20:34:52.037641Z",
     "iopub.status.idle": "2026-05-01T20:34:54.834596Z",
     "shell.execute_reply": "2026-05-01T20:34:54.834041Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Device      : mps\n",
      "PyTorch     : 2.11.0\n"
     ]
    }
   ],
   "source": [
    "import os, sys, warnings, time\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from torch.utils.data import Dataset, DataLoader, WeightedRandomSampler, ConcatDataset\n",
    "import librosa\n",
    "import soundfile as sf\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.preprocessing import StandardScaler, LabelEncoder\n",
    "from sklearn.metrics import f1_score, accuracy_score\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "%matplotlib inline\n",
    "plt.rcParams.update({\"figure.dpi\": 120, \"font.size\": 11})\n",
    "\n",
    "HERE      = os.path.abspath(\".\")\n",
    "BASE      = HERE if os.path.isdir(os.path.join(HERE, \"datasets\")) else os.path.dirname(HERE)\n",
    "if not os.path.isdir(os.path.join(BASE, \"datasets\")):\n",
    "    raise FileNotFoundError(f\"Could not locate datasets/ from working directory: {HERE}\")\n",
    "DATA      = os.path.join(BASE, \"datasets\")\n",
    "AUDIO     = os.path.join(DATA, \"dswp_audio\")\n",
    "SYNTH_DIR = os.path.join(DATA, \"synthetic_audio\")\n",
    "FIGS      = os.path.join(BASE, \"figures\", \"phase4\")\n",
    "WHAM_DIR  = os.path.join(BASE, \"wham\")\n",
    "os.makedirs(FIGS, exist_ok=True)\n",
    "os.makedirs(SYNTH_DIR, exist_ok=True)\n",
    "\n",
    "UNIT_COLORS = {\"A\": \"#4C72B0\", \"D\": \"#DD8452\", \"F\": \"#55A868\"}\n",
    "SEED = 42\n",
    "torch.manual_seed(SEED); np.random.seed(SEED)\n",
    "\n",
    "DEVICE = (\"mps\"  if torch.backends.mps.is_available()\n",
    "          else \"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(f\"Device      : {DEVICE}\")\n",
    "print(f\"PyTorch     : {torch.__version__}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ylhsahvo",
   "metadata": {},
   "source": [
    "---\n",
    "## 2. Data Loading\n",
    "\n",
    "Identical loading pipeline to Phase 3 — same splits, same feature arrays, same label encoders. This ensures all N_synth conditions are evaluated on a common test set.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bpbbxp2s",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:34:54.836258Z",
     "iopub.status.busy": "2026-05-01T20:34:54.836089Z",
     "iopub.status.idle": "2026-05-01T20:34:54.963324Z",
     "shell.execute_reply": "2026-05-01T20:34:54.962778Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clean codas     : 1383\n",
      "IDN-labeled     : 762  (12 individuals)\n",
      "Mel shape       : (1383, 64, 128)\n",
      "Train / Test    : 1106 / 277\n",
      "\n",
      "Unit distribution in training set:\n",
      "  Unit A:  193 (17.5%)\n",
      "  Unit D:  257 (23.2%)\n",
      "  Unit F:  656 (59.3%)\n"
     ]
    }
   ],
   "source": [
    "# ── Labels ────────────────────────────────────────────────────────────────────\n",
    "df = pd.read_csv(os.path.join(DATA, \"dswp_labels.csv\"))\n",
    "df[\"ici_list\"] = df[\"ici_sequence\"].apply(\n",
    "    lambda s: [float(x) for x in s.split(\"|\")] if isinstance(s, str) and s else [])\n",
    "\n",
    "df_clean = df[df[\"is_noise\"] == 0].copy().reset_index(drop=True)\n",
    "\n",
    "df_id_all = df_clean[df_clean[\"individual_id\"] != \"0\"].copy()\n",
    "id_counts  = df_id_all[\"individual_id\"].value_counts()\n",
    "df_id = df_id_all[df_id_all[\"individual_id\"].isin(\n",
    "    id_counts[id_counts > 1].index)].copy().reset_index(drop=True)\n",
    "\n",
    "# ── Shared splits ──────────────────────────────────────────────────────────────\n",
    "train_idx    = np.load(os.path.join(DATA, \"train_idx.npy\"))\n",
    "test_idx     = np.load(os.path.join(DATA, \"test_idx.npy\"))\n",
    "train_id_idx = np.load(os.path.join(DATA, \"train_id_idx.npy\"))\n",
    "test_id_idx  = np.load(os.path.join(DATA, \"test_id_idx.npy\"))\n",
    "\n",
    "# ── ICI features (zero-padded, StandardScaler normalised) ─────────────────────\n",
    "MAX_ICI = 9\n",
    "\n",
    "def build_ici_matrix(data):\n",
    "    X = np.zeros((len(data), MAX_ICI), dtype=np.float32)\n",
    "    for i, row in enumerate(data.itertuples()):\n",
    "        for j, v in enumerate(row.ici_list[:MAX_ICI]):\n",
    "            X[i, j] = v\n",
    "    return X\n",
    "\n",
    "X_ici_all = build_ici_matrix(df_clean)\n",
    "scaler_ici = StandardScaler()\n",
    "X_ici_all  = scaler_ici.fit_transform(X_ici_all).astype(np.float32)\n",
    "\n",
    "# ── Mel spectrograms (full 2D, pre-computed in Phase 3) ───────────────────────\n",
    "X_mel_full = np.load(os.path.join(DATA, \"X_mel_full.npy\"))   # (1383, 64, 128)\n",
    "N_MELS, N_FRAMES = 64, 128\n",
    "\n",
    "# ── Label encoders ────────────────────────────────────────────────────────────\n",
    "le_unit = LabelEncoder().fit(df_clean[\"unit\"])\n",
    "le_type = LabelEncoder().fit(df_clean[\"coda_type\"])\n",
    "le_id   = LabelEncoder().fit(df_id[\"individual_id\"])\n",
    "\n",
    "n_units = len(le_unit.classes_)\n",
    "n_types = len(le_type.classes_)\n",
    "n_ids   = len(le_id.classes_)\n",
    "\n",
    "y_unit  = le_unit.transform(df_clean[\"unit\"])\n",
    "y_type  = le_type.transform(df_clean[\"coda_type\"])\n",
    "y_id    = le_id.transform(df_id[\"individual_id\"])\n",
    "\n",
    "id_in_clean = df_id[\"coda_id\"].apply(\n",
    "    lambda c: df_clean[df_clean[\"coda_id\"] == c].index[0]).values\n",
    "\n",
    "# Unit train indices lookup\n",
    "unit_indices_train = {u: np.where(y_unit[train_idx] == le_unit.transform([u])[0])[0]\n",
    "                      for u in le_unit.classes_}\n",
    "\n",
    "print(f\"Clean codas     : {len(df_clean)}\")\n",
    "print(f\"IDN-labeled     : {len(df_id)}  ({n_ids} individuals)\")\n",
    "print(f\"Mel shape       : {X_mel_full.shape}\")\n",
    "print(f\"Train / Test    : {len(train_idx)} / {len(test_idx)}\")\n",
    "print(f\"\\nUnit distribution in training set:\")\n",
    "for u in le_unit.classes_:\n",
    "    n = unit_indices_train[u].shape[0]\n",
    "    print(f\"  Unit {u}: {n:4d} ({100*n/len(train_idx):.1f}%)\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0sdyep1k",
   "metadata": {},
   "source": [
    "---\n",
    "## 3. DCCE Architecture\n",
    "\n",
    "Identical to Phase 3 — redefined here for notebook self-containment. See Phase 3 (§3–§4) for architecture rationale and loss derivation (Leitão et al., 2023; Beguš et al., 2024; Chen et al., 2020).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "gjbtqd1l",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:34:54.964738Z",
     "iopub.status.busy": "2026-05-01T20:34:54.964633Z",
     "iopub.status.idle": "2026-05-01T20:34:54.993478Z",
     "shell.execute_reply": "2026-05-01T20:34:54.992960Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DCCE architecture OK  |  1,137,602 parameters\n"
     ]
    }
   ],
   "source": [
    "class RhythmEncoder(nn.Module):\n",
    "    \"\"\"2-layer GRU on ICI sequence → 64-d embedding (Leitão et al., 2023).\"\"\"\n",
    "    def __init__(self, hidden_dim=64, out_dim=64):\n",
    "        super().__init__()\n",
    "        self.gru  = nn.GRU(1, hidden_dim, num_layers=2, batch_first=True,\n",
    "                           dropout=0.2, bidirectional=False)\n",
    "        self.proj = nn.Sequential(nn.Linear(hidden_dim, out_dim), nn.LayerNorm(out_dim))\n",
    "\n",
    "    def forward(self, x):\n",
    "        _, h = self.gru(x.unsqueeze(-1))   # (B,9) → (B,9,1) → h: (2,B,64)\n",
    "        return self.proj(h[-1])            # last-layer hidden → (B,64)\n",
    "\n",
    "\n",
    "class SpectralEncoder(nn.Module):\n",
    "    \"\"\"3-block CNN on mel-spectrogram (64×128) → 64-d embedding (Beguš et al., 2024).\"\"\"\n",
    "    def __init__(self, n_mels=64, n_frames=128, out_dim=64):\n",
    "        super().__init__()\n",
    "        self.conv = nn.Sequential(\n",
    "            nn.Conv2d(1, 16, 3, padding=1), nn.BatchNorm2d(16), nn.ReLU(), nn.MaxPool2d(2),\n",
    "            nn.Conv2d(16, 32, 3, padding=1), nn.BatchNorm2d(32), nn.ReLU(), nn.MaxPool2d(2),\n",
    "            nn.Conv2d(32, 64, 3, padding=1), nn.BatchNorm2d(64), nn.ReLU(), nn.MaxPool2d(2),\n",
    "        )\n",
    "        self.drop = nn.Dropout(0.3)\n",
    "        flat_dim  = 64 * (n_mels // 8) * (n_frames // 8)\n",
    "        self.proj = nn.Sequential(\n",
    "            nn.Linear(flat_dim, 128), nn.ReLU(),\n",
    "            nn.Linear(128, out_dim), nn.LayerNorm(out_dim),\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.conv(x.unsqueeze(1))       # (B,64,128) → (B,64,8,16)\n",
    "        return self.proj(self.drop(x.flatten(1)))\n",
    "\n",
    "\n",
    "class DCCE(nn.Module):\n",
    "    \"\"\"Dual-Channel Contrastive Encoder (full cross-channel variant).\"\"\"\n",
    "    def __init__(self, n_types=22, n_ids=12, emb_dim=64):\n",
    "        super().__init__()\n",
    "        self.rhythm_enc   = RhythmEncoder(out_dim=emb_dim)\n",
    "        self.spectral_enc = SpectralEncoder(out_dim=emb_dim)\n",
    "        self.fusion = nn.Sequential(\n",
    "            nn.LayerNorm(emb_dim * 2),\n",
    "            nn.Linear(emb_dim * 2, emb_dim), nn.ReLU(),\n",
    "            nn.Linear(emb_dim, emb_dim),\n",
    "        )\n",
    "        self.head_type = nn.Linear(emb_dim, n_types)\n",
    "        self.head_id   = nn.Linear(emb_dim, n_ids)\n",
    "\n",
    "    def forward(self, ici, mel):\n",
    "        r = self.rhythm_enc(ici)\n",
    "        s = self.spectral_enc(mel)\n",
    "        z = self.fusion(torch.cat([r, s], dim=1))\n",
    "        return z, r, s\n",
    "\n",
    "\n",
    "def nt_xent_loss(z1, z2, temperature=0.07):\n",
    "    \"\"\"NT-Xent contrastive loss (Chen et al., SimCLR, NeurIPS 2020). τ=0.07.\"\"\"\n",
    "    B = z1.shape[0]\n",
    "    z = F.normalize(torch.cat([z1, z2], dim=0), dim=1)\n",
    "    sim = torch.mm(z, z.T) / temperature\n",
    "    sim.masked_fill_(torch.eye(2 * B, dtype=torch.bool, device=z.device), float('-inf'))\n",
    "    labels = torch.cat([torch.arange(B, 2 * B), torch.arange(B)]).to(z.device)\n",
    "    return F.cross_entropy(sim, labels)\n",
    "\n",
    "\n",
    "_m = DCCE(n_types=n_types, n_ids=n_ids).to(DEVICE)\n",
    "n_params = sum(p.numel() for p in _m.parameters())\n",
    "print(f\"DCCE architecture OK  |  {n_params:,} parameters\"); del _m\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "hgunancz",
   "metadata": {},
   "source": [
    "---\n",
    "## 4. Datasets and DataLoader\n",
    "\n",
    "`CodaDataset` — wraps real DSWP codas (real ICI + mel + ground-truth labels).\n",
    "\n",
    "`SyntheticCodaDataset` — wraps WhAM-generated codas. Pseudo-ICI and pseudo-type are copied from the conditioning prompt coda. Individual ID is **not** set (id_label = −1), so the auxiliary ID head is not trained on synthetic examples.\n",
    "\n",
    "`make_loader` builds a `WeightedRandomSampler` for unit balance across the combined real + synthetic training pool (compensates for Unit F = 59.4% of real data).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "505f85m7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:34:54.994873Z",
     "iopub.status.busy": "2026-05-01T20:34:54.994763Z",
     "iopub.status.idle": "2026-05-01T20:34:55.017921Z",
     "shell.execute_reply": "2026-05-01T20:34:55.017379Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Real training dataset   : 1106 codas  |  17 batches\n",
      "Test  dataset           : 277 codas\n"
     ]
    }
   ],
   "source": [
    "class CodaDataset(Dataset):\n",
    "    \"\"\"Real DSWP codas: (ici, mel, unit, type, id_label).\"\"\"\n",
    "    def __init__(self, indices, X_ici, X_mel, y_unit, y_type,\n",
    "                 y_id=None, id_clean_idx=None):\n",
    "        self.idx = indices; self.X_ici = X_ici; self.X_mel = X_mel\n",
    "        self.y_unit = y_unit; self.y_type = y_type\n",
    "        self.y_id = y_id; self.id_clean_idx = id_clean_idx\n",
    "\n",
    "    def __len__(self): return len(self.idx)\n",
    "\n",
    "    def __getitem__(self, i):\n",
    "        ci  = self.idx[i]\n",
    "        ici = torch.tensor(self.X_ici[ci])\n",
    "        mel = torch.tensor(self.X_mel[ci])\n",
    "        u   = torch.tensor(self.y_unit[ci], dtype=torch.long)\n",
    "        t   = torch.tensor(self.y_type[ci], dtype=torch.long)\n",
    "        id_lbl = torch.tensor(-1, dtype=torch.long)\n",
    "        if self.y_id is not None and self.id_clean_idx is not None:\n",
    "            m = np.where(self.id_clean_idx == ci)[0]\n",
    "            if len(m) > 0:\n",
    "                id_lbl = torch.tensor(self.y_id[m[0]], dtype=torch.long)\n",
    "        return ici, mel, u, t, id_lbl\n",
    "\n",
    "\n",
    "class SyntheticCodaDataset(Dataset):\n",
    "    \"\"\"\n",
    "    WhAM-generated synthetic codas. Pseudo-labels from the prompt coda.\n",
    "    Individual ID is not assigned (id_label = -1).\n",
    "    \"\"\"\n",
    "    def __init__(self, X_ici_synth, X_mel_synth, y_unit_synth, y_type_synth):\n",
    "        self.X_ici  = X_ici_synth    # (N, 9)   — pseudo-ICI (from prompt)\n",
    "        self.X_mel  = X_mel_synth    # (N, 64, 128)\n",
    "        self.y_unit = y_unit_synth   # (N,)\n",
    "        self.y_type = y_type_synth   # (N,)\n",
    "\n",
    "    def __len__(self): return len(self.y_unit)\n",
    "\n",
    "    def __getitem__(self, i):\n",
    "        return (torch.tensor(self.X_ici[i]),\n",
    "                torch.tensor(self.X_mel[i]),\n",
    "                torch.tensor(self.y_unit[i], dtype=torch.long),\n",
    "                torch.tensor(self.y_type[i], dtype=torch.long),\n",
    "                torch.tensor(-1, dtype=torch.long))\n",
    "\n",
    "\n",
    "BATCH_SIZE = 64\n",
    "\n",
    "def make_loader(real_ds, synth_ds=None):\n",
    "    \"\"\"Combined DataLoader with WeightedRandomSampler for unit balance.\"\"\"\n",
    "    combined = ConcatDataset([real_ds, synth_ds]) if synth_ds else real_ds\n",
    "    n_total  = len(combined)\n",
    "\n",
    "    # Collect unit labels for the entire combined pool\n",
    "    real_units  = [real_ds[i][2].item() for i in range(len(real_ds))]\n",
    "    synth_units = ([synth_ds[i][2].item() for i in range(len(synth_ds))]\n",
    "                   if synth_ds else [])\n",
    "    all_units   = np.array(real_units + synth_units)\n",
    "\n",
    "    counts  = np.bincount(all_units, minlength=n_units).astype(float)\n",
    "    weights = (1.0 / counts)[all_units]\n",
    "    sampler = WeightedRandomSampler(weights, num_samples=n_total, replacement=True)\n",
    "    return DataLoader(combined, batch_size=BATCH_SIZE, sampler=sampler,\n",
    "                      num_workers=0, drop_last=True)\n",
    "\n",
    "\n",
    "# ── Real datasets ──────────────────────────────────────────────────────────────\n",
    "ds_real_train = CodaDataset(train_idx, X_ici_all, X_mel_full, y_unit, y_type,\n",
    "                            y_id, id_in_clean)\n",
    "ds_test       = CodaDataset(test_idx,  X_ici_all, X_mel_full, y_unit, y_type)\n",
    "loader_real   = make_loader(ds_real_train)\n",
    "\n",
    "print(f\"Real training dataset   : {len(ds_real_train)} codas  |  {len(loader_real)} batches\")\n",
    "print(f\"Test  dataset           : {len(ds_test)} codas\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fvig4gaq",
   "metadata": {},
   "source": [
    "---\n",
    "## 5. Training and Evaluation Helpers\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "mkfbp5jb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:34:55.019406Z",
     "iopub.status.busy": "2026-05-01T20:34:55.019307Z",
     "iopub.status.idle": "2026-05-01T20:34:55.027180Z",
     "shell.execute_reply": "2026-05-01T20:34:55.026739Z"
    }
   },
   "outputs": [],
   "source": [
    "def build_unit_train_map():\n",
    "    \"\"\"Unit encoded-int → positions-within-train_idx lookup for partner sampling.\"\"\"\n",
    "    return {u_enc: np.where(y_unit[train_idx] == u_enc)[0]\n",
    "            for u_enc in range(n_units)}\n",
    "\n",
    "\n",
    "def sample_partners(u_batch, unit_map, rng):\n",
    "    \"\"\"For each unit label in the batch, sample a different real training coda index.\"\"\"\n",
    "    partners = []\n",
    "    for u in u_batch.cpu().numpy():\n",
    "        candidates = unit_map[int(u)]\n",
    "        partners.append(train_idx[rng.choice(candidates)])\n",
    "    return np.array(partners)\n",
    "\n",
    "\n",
    "def train_dcce_full(train_loader, n_epochs=50, lr=1e-3, lambda1=0.5, lambda2=0.5,\n",
    "                    label=\"\"):\n",
    "    \"\"\"\n",
    "    Train DCCE-full (cross-channel NT-Xent + auxiliary heads).\n",
    "    Cross-channel partners are always sampled from the *real* training pool,\n",
    "    regardless of whether the loader contains synthetic codas.\n",
    "\n",
    "    Returns: (model, loss_history)\n",
    "    \"\"\"\n",
    "    # Fix seed before model construction so each N_synth condition\n",
    "    # starts from the same initialisation — ensures comparability.\n",
    "    torch.manual_seed(SEED)\n",
    "    np.random.seed(SEED)\n",
    "\n",
    "    model    = DCCE(n_types=n_types, n_ids=n_ids).to(DEVICE)\n",
    "    opt      = torch.optim.AdamW(model.parameters(), lr=lr, weight_decay=1e-4)\n",
    "    sched    = torch.optim.lr_scheduler.CosineAnnealingLR(opt, T_max=n_epochs)\n",
    "    rng      = np.random.default_rng(SEED)\n",
    "    unit_map = build_unit_train_map()\n",
    "    history  = []\n",
    "\n",
    "    model.train()\n",
    "    t0 = time.time()\n",
    "    for epoch in range(n_epochs):\n",
    "        epoch_loss = 0.0; nb = 0\n",
    "        for ici, mel, u_lbl, t_lbl, id_lbl in train_loader:\n",
    "            ici   = ici.to(DEVICE);   mel = mel.to(DEVICE)\n",
    "            u_lbl = u_lbl.to(DEVICE); t_lbl = t_lbl.to(DEVICE)\n",
    "\n",
    "            z, r_emb, s_emb = model(ici, mel)\n",
    "\n",
    "            # Cross-channel partners from the real training pool (unit-matched)\n",
    "            p_idx = sample_partners(u_lbl, unit_map, rng)\n",
    "            z_p, _, _ = model(torch.tensor(X_ici_all[p_idx]).to(DEVICE),\n",
    "                              torch.tensor(X_mel_full[p_idx]).to(DEVICE))\n",
    "\n",
    "            loss = nt_xent_loss(z, z_p)\n",
    "            loss = loss + lambda1 * F.cross_entropy(model.head_type(r_emb), t_lbl)\n",
    "\n",
    "            valid_id = id_lbl >= 0\n",
    "            if valid_id.any():\n",
    "                loss = loss + lambda2 * F.cross_entropy(\n",
    "                    model.head_id(s_emb[valid_id.to(DEVICE)]),\n",
    "                    id_lbl[valid_id].to(DEVICE))\n",
    "\n",
    "            opt.zero_grad(); loss.backward(); opt.step()\n",
    "            epoch_loss += loss.item(); nb += 1\n",
    "\n",
    "        sched.step()\n",
    "        history.append(epoch_loss / nb)\n",
    "        if (epoch + 1) % 10 == 0:\n",
    "            print(f\"  {label}  epoch {epoch+1:3d}/{n_epochs}  \"\n",
    "                  f\"loss={history[-1]:.4f}  ({time.time()-t0:.0f}s)\")\n",
    "\n",
    "    print(f\"  {label} done in {time.time()-t0:.0f}s\")\n",
    "    return model, history\n",
    "\n",
    "\n",
    "def extract_z(model, indices):\n",
    "    \"\"\"Extract fused embeddings z for given df_clean indices.\"\"\"\n",
    "    model.eval()\n",
    "    out = []\n",
    "    with torch.no_grad():\n",
    "        for i in range(0, len(indices), BATCH_SIZE):\n",
    "            bi = indices[i:i + BATCH_SIZE]\n",
    "            z, _, _ = model(torch.tensor(X_ici_all[bi]).to(DEVICE),\n",
    "                            torch.tensor(X_mel_full[bi]).to(DEVICE))\n",
    "            out.append(z.cpu().numpy())\n",
    "    return np.vstack(out)\n",
    "\n",
    "\n",
    "def linear_probe(model):\n",
    "    \"\"\"\n",
    "    Frozen linear probe evaluation: LogisticRegression on z.\n",
    "    Tasks: unit, coda_type, individual_id.\n",
    "    Primary metric: macro-F1 (class-imbalance robust).\n",
    "    \"\"\"\n",
    "    Z_tr = extract_z(model, train_idx)\n",
    "    Z_te = extract_z(model, test_idx)\n",
    "\n",
    "    id_tr_ci = id_in_clean[train_id_idx]\n",
    "    id_te_ci = id_in_clean[test_id_idx]\n",
    "    Z_id_tr  = extract_z(model, id_tr_ci)\n",
    "    Z_id_te  = extract_z(model, id_te_ci)\n",
    "\n",
    "    sc    = StandardScaler(); sc_id = StandardScaler()\n",
    "    Xtr   = sc.fit_transform(Z_tr);   Xte   = sc.transform(Z_te)\n",
    "    Xid_tr= sc_id.fit_transform(Z_id_tr); Xid_te= sc_id.transform(Z_id_te)\n",
    "\n",
    "    make_lr = lambda: LogisticRegression(max_iter=2000, class_weight=\"balanced\",\n",
    "                                         random_state=SEED, solver=\"lbfgs\")\n",
    "    res = {}\n",
    "\n",
    "    clf = make_lr().fit(Xtr, y_unit[train_idx])\n",
    "    p   = clf.predict(Xte)\n",
    "    res[\"unit\"] = {\"macro_f1\": f1_score(y_unit[test_idx], p, average=\"macro\", zero_division=0),\n",
    "                   \"accuracy\": accuracy_score(y_unit[test_idx], p)}\n",
    "\n",
    "    clf = make_lr().fit(Xtr, y_type[train_idx])\n",
    "    p   = clf.predict(Xte)\n",
    "    res[\"coda_type\"] = {\"macro_f1\": f1_score(y_type[test_idx], p, average=\"macro\", zero_division=0),\n",
    "                        \"accuracy\": accuracy_score(y_type[test_idx], p)}\n",
    "\n",
    "    clf = make_lr().fit(Xid_tr, y_id[train_id_idx])\n",
    "    p   = clf.predict(Xid_te)\n",
    "    res[\"individual_id\"] = {\"macro_f1\": f1_score(y_id[test_id_idx], p, average=\"macro\", zero_division=0),\n",
    "                            \"accuracy\": accuracy_score(y_id[test_id_idx], p)}\n",
    "    return res\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "puo9popv",
   "metadata": {},
   "source": [
    "---\n",
    "## 6. Baseline DCCE-full Training (N_synth = 0)\n",
    "\n",
    "We re-run DCCE-full on the real training set to obtain a clean baseline within this notebook's code path (same hyperparameters, same random seed as Phase 3).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ga0nop00",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:34:55.028705Z",
     "iopub.status.busy": "2026-05-01T20:34:55.028599Z",
     "iopub.status.idle": "2026-05-01T20:35:47.393650Z",
     "shell.execute_reply": "2026-05-01T20:35:47.392158Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training DCCE-full on real data only (N_synth=0) ...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=0]  epoch  10/50  loss=5.0468  (11s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=0]  epoch  20/50  loss=4.2752  (20s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=0]  epoch  30/50  loss=3.9968  (30s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=0]  epoch  40/50  loss=3.9082  (39s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=0]  epoch  50/50  loss=3.8686  (52s)\n",
      "  [N_synth=0] done in 52s\n"
     ]
    }
   ],
   "source": [
    "print(\"Training DCCE-full on real data only (N_synth=0) ...\")\n",
    "model_baseline, hist_baseline = train_dcce_full(loader_real, label=\"[N_synth=0]\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cydidy2j",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:35:47.400186Z",
     "iopub.status.busy": "2026-05-01T20:35:47.398866Z",
     "iopub.status.idle": "2026-05-01T20:35:48.139841Z",
     "shell.execute_reply": "2026-05-01T20:35:48.139130Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Baseline (N_synth=0) results:\n",
      "  unit                       F1=0.8780  Acc=0.8845\n",
      "  coda_type                  F1=0.5777  Acc=0.7870\n",
      "  individual_id              F1=0.8338  Acc=0.9020\n"
     ]
    }
   ],
   "source": [
    "baseline_res = linear_probe(model_baseline)\n",
    "print(\"Baseline (N_synth=0) results:\")\n",
    "for task, r in baseline_res.items():\n",
    "    print(f\"  {task:25s}  F1={r['macro_f1']:.4f}  Acc={r['accuracy']:.4f}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0upvijx5",
   "metadata": {},
   "source": [
    "---\n",
    "## 7. WhAM Generation Setup\n",
    "\n",
    "We load the WhAM coarse model and codec from the local clone of the Project-CETI/wham repository (Paradise et al., NeurIPS 2025). Only the coarse model + codec are needed for audio generation and decoding; the coarse-to-fine (c2f) model is not required.\n",
    "\n",
    "### Masking strategy\n",
    "\n",
    "We use `rand_mask_intensity=0.8` — 80% of discrete acoustic tokens are randomly masked and regenerated by the model, while 20% are preserved from the conditioning prompt. This provides a weak unit-level conditioning signal: the preserved tokens carry spectral information from the prompt coda's unit, guiding the generation toward the same unit's acoustic texture.\n",
    "\n",
    "With 100% masking (unconditional generation), outputs would sample from WhAM's overall prior with no unit specificity. With lower masking (e.g. 30%), outputs would be near-reconstructions of the prompt, adding little new variation. 80% is a reasonable compromise for *diverse but unit-conditional* synthesis.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "rpzm7jri",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:35:48.142080Z",
     "iopub.status.busy": "2026-05-01T20:35:48.141945Z",
     "iopub.status.idle": "2026-05-01T20:35:56.601047Z",
     "shell.execute_reply": "2026-05-01T20:35:56.600093Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading WhAM Interface (coarse + codec)...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Interface loaded in 7.8s  |  device=mps\n"
     ]
    }
   ],
   "source": [
    "# ── Add WhAM repo to Python path ──────────────────────────────────────────────\n",
    "sys.path.insert(0, WHAM_DIR)\n",
    "\n",
    "from vampnet.interface import Interface\n",
    "from vampnet import mask as pmask\n",
    "from audiotools import AudioSignal\n",
    "\n",
    "COARSE_CKPT = os.path.join(WHAM_DIR, \"vampnet\", \"models\", \"coarse.pth\")\n",
    "CODEC_CKPT  = os.path.join(WHAM_DIR, \"vampnet\", \"models\", \"codec.pth\")\n",
    "\n",
    "print(\"Loading WhAM Interface (coarse + codec)...\")\n",
    "t0 = time.time()\n",
    "interface = Interface(\n",
    "    coarse_ckpt=COARSE_CKPT,\n",
    "    codec_ckpt=CODEC_CKPT,\n",
    "    device=DEVICE,\n",
    ")\n",
    "print(f\"  Interface loaded in {time.time()-t0:.1f}s  |  device={DEVICE}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d2teeq69",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:35:56.608240Z",
     "iopub.status.busy": "2026-05-01T20:35:56.606891Z",
     "iopub.status.idle": "2026-05-01T20:35:56.614105Z",
     "shell.execute_reply": "2026-05-01T20:35:56.613145Z"
    }
   },
   "outputs": [],
   "source": [
    "# ── Generation function (uses vampnet.mask API — Paradise et al., 2025) ───────\n",
    "def generate_synthetic_coda(prompt_coda_id, rand_mask_intensity=0.8,\n",
    "                             n_steps=30, seed=None):\n",
    "    \"\"\"\n",
    "    Generate one synthetic coda conditioned on a real prompt coda.\n",
    "\n",
    "    Encodes the prompt into discrete acoustic tokens, then applies the WhAM\n",
    "    'codas' mask recipe (periodic_p=12, onset_mask_width=21, n_mask_codebooks=9)\n",
    "    with rand_mask_intensity=0.8 (80% of tokens regenerated, 20% preserved\n",
    "    for weak unit-level conditioning).\n",
    "\n",
    "    Masking pipeline (adapted from Paradise et al., 2025 codas config):\n",
    "      1. pmask.linear_random(z, 0.8)       — random 80% mask\n",
    "      2. pmask.mask_and(periodic_mask)      — periodic structure (period=12)\n",
    "      3. pmask.codebook_unmask(mask, 0)     — ncc=0: no protected codebooks\n",
    "      4. pmask.codebook_mask(mask, 9)       — mask fine codebooks (9+)\n",
    "    Note: onset_mask omitted (requires madmom/Cython build not available here).\n",
    "\n",
    "    Args:\n",
    "        prompt_coda_id    : integer coda ID (file: {id}.wav)\n",
    "        rand_mask_intensity: fraction of tokens masked (0=no mask, 1=fully random)\n",
    "        n_steps           : VampNet sampling steps (30 fast / 50 higher quality)\n",
    "        seed              : RNG seed for reproducibility\n",
    "\n",
    "    Returns:\n",
    "        (audio_np: float32 ndarray, sample_rate: int)\n",
    "    \"\"\"\n",
    "    audio_path = os.path.join(AUDIO, f\"{prompt_coda_id}.wav\")\n",
    "    sig = AudioSignal(audio_path)\n",
    "    sig = interface.preprocess(sig)     # resample to model SR\n",
    "\n",
    "    with torch.no_grad():\n",
    "        z = interface.encode(sig)\n",
    "\n",
    "        # ── Build mask (codas config, rand_mask_intensity override) ───────\n",
    "        # API: periodic_mask(x, period, width, random_roll)\n",
    "        #      codebook_mask(mask, start) — masks codebooks from index start onwards\n",
    "        # Note: onset_mask (codas config: width=21) requires madmom which needs\n",
    "        # Cython build infrastructure; omitted here. periodic_mask preserves\n",
    "        # periodic temporal structure at every 12th token (period=12).\n",
    "        mask = pmask.linear_random(z, rand_mask_intensity)\n",
    "        mask = pmask.mask_and(mask, pmask.periodic_mask(\n",
    "            z, 12, 1, random_roll=True))\n",
    "        mask = pmask.codebook_unmask(mask, n_conditioning_codebooks=0)\n",
    "        mask = pmask.codebook_mask(mask, start=9)\n",
    "\n",
    "        zv = interface.coarse_vamp(\n",
    "            z,\n",
    "            mask=mask,\n",
    "            sampling_steps=n_steps,\n",
    "            mask_temperature=15.0,        # masktemp=1.5 * 10 (WhAM convention)\n",
    "            sampling_temperature=1.0,\n",
    "            gen_fn=interface.coarse.generate,\n",
    "            seed=seed,\n",
    "            sample_cutoff=0.17,\n",
    "            typical_filtering=False,\n",
    "            typical_mass=0.102,\n",
    "            typical_min_tokens=47,\n",
    "        )\n",
    "        out_sig = interface.to_signal(zv)\n",
    "\n",
    "    audio_np = out_sig.samples.squeeze().cpu().numpy().astype(np.float32)\n",
    "    return audio_np, out_sig.sample_rate\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "p4v06l0b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:35:56.616236Z",
     "iopub.status.busy": "2026-05-01T20:35:56.616032Z",
     "iopub.status.idle": "2026-05-01T20:36:01.251015Z",
     "shell.execute_reply": "2026-05-01T20:36:01.250253Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating test coda from prompt coda 783 ...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Generated 2.05s audio in 4.6s\n",
      "  Sample rate: 44100 Hz  |  Samples: 90624\n",
      "  Audio range: [-0.505, 0.355]\n",
      "\n",
      "  Estimated time for 1000 codas: 77.1 min\n"
     ]
    }
   ],
   "source": [
    "# ── Generation sanity check (~8-10s on MPS) ───────────────────────────────────\n",
    "test_coda_id = int(df_clean.iloc[train_idx[0]][\"coda_id\"])\n",
    "print(f\"Generating test coda from prompt coda {test_coda_id} ...\")\n",
    "t0 = time.time()\n",
    "test_audio, test_sr = generate_synthetic_coda(test_coda_id, seed=0)\n",
    "elapsed = time.time() - t0\n",
    "print(f\"  Generated {len(test_audio)/test_sr:.2f}s audio in {elapsed:.1f}s\")\n",
    "print(f\"  Sample rate: {test_sr} Hz  |  Samples: {len(test_audio)}\")\n",
    "print(f\"  Audio range: [{test_audio.min():.3f}, {test_audio.max():.3f}]\")\n",
    "print(f\"\\n  Estimated time for 1000 codas: {1000*elapsed/60:.1f} min\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cjp4pnlp",
   "metadata": {},
   "source": [
    "---\n",
    "## 8. Bulk Synthetic Coda Generation\n",
    "\n",
    "We generate N_SYNTH_MAX=1000 synthetic codas and cache them to disk. This generation step only runs once; subsequent notebook runs load from cache.\n",
    "\n",
    "**Prompt sampling strategy**: prompts are stratified by unit (⌊N/3⌋ per unit) to ensure the synthetic pool is balanced across A, D, and F — unlike the real training set which is dominated by Unit F (59.4%).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "vf2jo0iy",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:36:01.253509Z",
     "iopub.status.busy": "2026-05-01T20:36:01.253375Z",
     "iopub.status.idle": "2026-05-01T20:36:01.284162Z",
     "shell.execute_reply": "2026-05-01T20:36:01.283509Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading cached synthetic data (1000 codas)...\n",
      "  Loaded: 1000 codas, mel (1000, 64, 128)\n",
      "\n",
      "Synthetic data ready: 1000 codas  (0s total)\n",
      "\n",
      "Synthetic unit distribution:\n",
      "  Unit A: 333 (33.3%)\n",
      "  Unit D: 333 (33.3%)\n",
      "  Unit F: 334 (33.4%)\n"
     ]
    }
   ],
   "source": [
    "N_SYNTH_MAX   = 1000\n",
    "SYNTH_META_PATH = os.path.join(DATA, \"synthetic_meta.csv\")\n",
    "\n",
    "\n",
    "def load_or_generate_synthetics(n_target, force_regen=False):\n",
    "    \"\"\"\n",
    "    Generate n_target synthetic codas from WhAM, or load from disk cache.\n",
    "\n",
    "    Prompts are sampled from D_train, stratified by unit.\n",
    "    For each synthetic coda we save:\n",
    "      - WAV file  → datasets/synthetic_audio/synth_{i:04d}.wav\n",
    "      - Mel       → datasets/X_mel_synth_{n}.npy  (n_target, 64, 128)\n",
    "      - Pseudo-ICI→ datasets/X_ici_synth_{n}.npy  (n_target, 9)   from prompt\n",
    "      - Unit/type → datasets/y_unit_synth_{n}.npy, y_type_synth_{n}.npy\n",
    "      - Metadata  → datasets/synthetic_meta.csv\n",
    "\n",
    "    Returns:\n",
    "        meta_df, X_ici_s, X_mel_s, y_unit_s, y_type_s\n",
    "    \"\"\"\n",
    "    mel_cache  = os.path.join(DATA, f\"X_mel_synth_{n_target}.npy\")\n",
    "    ici_cache  = os.path.join(DATA, f\"X_ici_synth_{n_target}.npy\")\n",
    "    unit_cache = os.path.join(DATA, f\"y_unit_synth_{n_target}.npy\")\n",
    "    type_cache = os.path.join(DATA, f\"y_type_synth_{n_target}.npy\")\n",
    "\n",
    "    all_cached = all(os.path.exists(p) for p in\n",
    "                     [SYNTH_META_PATH, mel_cache, ici_cache, unit_cache, type_cache])\n",
    "\n",
    "    if all_cached and not force_regen:\n",
    "        print(f\"Loading cached synthetic data ({n_target} codas)...\")\n",
    "        meta_df  = pd.read_csv(SYNTH_META_PATH).head(n_target)\n",
    "        X_ici_s  = np.load(ici_cache)[:n_target]\n",
    "        X_mel_s  = np.load(mel_cache)[:n_target]\n",
    "        y_unit_s = np.load(unit_cache)[:n_target]\n",
    "        y_type_s = np.load(type_cache)[:n_target]\n",
    "        print(f\"  Loaded: {len(meta_df)} codas, mel {X_mel_s.shape}\")\n",
    "        return meta_df, X_ici_s, X_mel_s, y_unit_s, y_type_s\n",
    "\n",
    "    print(f\"Generating {n_target} synthetic codas ...\")\n",
    "    est_min = n_target * 8 // 60\n",
    "    print(f\"  Estimated time: ~{est_min} min on MPS  (can leave running)\")\n",
    "\n",
    "    # ── Stratified prompt sampling ─────────────────────────────────────────\n",
    "    rng_p = np.random.default_rng(SEED + 1)\n",
    "    n_per_unit = n_target // n_units\n",
    "    prompt_clean_idxs = []\n",
    "    for u in le_unit.classes_:\n",
    "        u_enc     = le_unit.transform([u])[0]\n",
    "        u_pos     = unit_indices_train[u]        # positions within train_idx\n",
    "        u_ci      = train_idx[u_pos]              # positions within df_clean\n",
    "        chosen    = rng_p.choice(u_ci, size=n_per_unit, replace=True)\n",
    "        prompt_clean_idxs.extend(chosen.tolist())\n",
    "    # Remainder (handle n_target not divisible by n_units)\n",
    "    remainder = n_target - len(prompt_clean_idxs)\n",
    "    if remainder > 0:\n",
    "        extra = rng_p.choice(train_idx, size=remainder, replace=True)\n",
    "        prompt_clean_idxs.extend(extra.tolist())\n",
    "    rng_p.shuffle(prompt_clean_idxs)\n",
    "\n",
    "    # ── Allocate output arrays ─────────────────────────────────────────────\n",
    "    X_ici_s  = np.zeros((n_target, MAX_ICI),           dtype=np.float32)\n",
    "    X_mel_s  = np.zeros((n_target, N_MELS, N_FRAMES),  dtype=np.float32)\n",
    "    y_unit_s = np.zeros(n_target,                      dtype=np.int64)\n",
    "    y_type_s = np.zeros(n_target,                      dtype=np.int64)\n",
    "    meta_records = []\n",
    "\n",
    "    t0_gen = time.time()\n",
    "    for i, prompt_ci in enumerate(prompt_clean_idxs):\n",
    "        prompt_row = df_clean.iloc[prompt_ci]\n",
    "        coda_id    = int(prompt_row[\"coda_id\"])\n",
    "        unit_str   = prompt_row[\"unit\"]\n",
    "        type_str   = prompt_row[\"coda_type\"]\n",
    "        out_path   = os.path.join(SYNTH_DIR, f\"synth_{i:04d}.wav\")\n",
    "\n",
    "        # Generate or load from partial cache\n",
    "        if not os.path.exists(out_path):\n",
    "            audio_np, sr = generate_synthetic_coda(coda_id,\n",
    "                                                   rand_mask_intensity=0.8,\n",
    "                                                   n_steps=30, seed=i)\n",
    "            sf.write(out_path, audio_np, sr)\n",
    "\n",
    "        # Extract mel spectrogram from synthetic WAV\n",
    "        y_wav, sr = librosa.load(out_path, sr=None, mono=True)\n",
    "        mel = librosa.feature.melspectrogram(y=y_wav, sr=sr,\n",
    "                                              n_mels=N_MELS, fmax=8000)\n",
    "        mel_db = librosa.power_to_db(mel, ref=np.max).astype(np.float32)\n",
    "        T = mel_db.shape[1]\n",
    "        if T >= N_FRAMES:\n",
    "            X_mel_s[i] = mel_db[:, :N_FRAMES]\n",
    "        else:\n",
    "            X_mel_s[i, :, :T] = mel_db\n",
    "\n",
    "        # Pseudo-ICI: copy from prompt coda (already StandardScaler-normalised)\n",
    "        X_ici_s[i]  = X_ici_all[prompt_ci]\n",
    "        y_unit_s[i] = le_unit.transform([unit_str])[0]\n",
    "        y_type_s[i] = le_type.transform([type_str])[0]\n",
    "\n",
    "        meta_records.append({\n",
    "            \"synth_id\": i, \"prompt_coda_id\": coda_id,\n",
    "            \"prompt_clean_idx\": prompt_ci, \"unit\": unit_str,\n",
    "            \"coda_type\": type_str, \"audio_path\": out_path,\n",
    "        })\n",
    "\n",
    "        if (i + 1) % 100 == 0:\n",
    "            elapsed = time.time() - t0_gen\n",
    "            rate    = elapsed / (i + 1)\n",
    "            print(f\"  Generated {i+1:4d}/{n_target}  \"\n",
    "                  f\"({elapsed:.0f}s elapsed, ~{rate:.1f}s/coda, \"\n",
    "                  f\"~{(n_target - i - 1) * rate / 60:.1f} min remaining)\")\n",
    "\n",
    "    # ── Save all caches ────────────────────────────────────────────────────\n",
    "    meta_df = pd.DataFrame(meta_records)\n",
    "    meta_df.to_csv(SYNTH_META_PATH, index=False)\n",
    "    np.save(mel_cache,  X_mel_s);  np.save(ici_cache,  X_ici_s)\n",
    "    np.save(unit_cache, y_unit_s); np.save(type_cache, y_type_s)\n",
    "    print(f\"\\nGeneration complete in {time.time()-t0_gen:.0f}s. Caches saved.\")\n",
    "    return meta_df, X_ici_s, X_mel_s, y_unit_s, y_type_s\n",
    "\n",
    "\n",
    "t0_total = time.time()\n",
    "meta_df, X_ici_synth, X_mel_synth, y_unit_synth, y_type_synth = \\\n",
    "    load_or_generate_synthetics(N_SYNTH_MAX)\n",
    "\n",
    "print(f\"\\nSynthetic data ready: {len(meta_df)} codas  \"\n",
    "      f\"({time.time()-t0_total:.0f}s total)\")\n",
    "print(f\"\\nSynthetic unit distribution:\")\n",
    "for u in le_unit.classes_:\n",
    "    u_enc = le_unit.transform([u])[0]\n",
    "    n_u   = (y_unit_synth == u_enc).sum()\n",
    "    print(f\"  Unit {u}: {n_u} ({100*n_u/len(y_unit_synth):.1f}%)\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "llltvumv",
   "metadata": {},
   "source": [
    "---\n",
    "## 9. Exploratory Analysis of Synthetic Codas\n",
    "\n",
    "Before training with synthetic data we visualise samples to verify that WhAM is generating coherent whale vocalisations, not noise or silence. We also compare mean mel profiles of real vs. synthetic codas per unit — a mismatch would indicate that generation is not unit-faithful.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "15d7qls4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:36:01.285979Z",
     "iopub.status.busy": "2026-05-01T20:36:01.285857Z",
     "iopub.status.idle": "2026-05-01T20:36:02.413058Z",
     "shell.execute_reply": "2026-05-01T20:36:02.412457Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1440x960 with 18 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ── Sample mel-spectrograms: 3 synthetic codas per unit ───────────────────────\n",
    "fig, axes = plt.subplots(3, 3, figsize=(12, 8))\n",
    "fig.suptitle(\"WhAM-Generated Synthetic Coda Mel-Spectrograms (3 per unit)\",\n",
    "             fontsize=13, fontweight=\"bold\")\n",
    "\n",
    "rng_vis = np.random.default_rng(42)\n",
    "for row_i, unit in enumerate(le_unit.classes_):\n",
    "    u_enc  = le_unit.transform([unit])[0]\n",
    "    u_idx  = np.where(y_unit_synth == u_enc)[0]\n",
    "    chosen = rng_vis.choice(u_idx, 3, replace=False)\n",
    "    for col_i, si in enumerate(chosen):\n",
    "        ax = axes[row_i, col_i]\n",
    "        im = ax.pcolormesh(X_mel_synth[si], cmap=\"viridis\", shading=\"auto\")\n",
    "        ax.set_title(f\"Unit {unit} — synth {si}\", fontsize=9)\n",
    "        ax.set_xlabel(\"Frames\"); ax.set_ylabel(\"Mel bins\")\n",
    "        plt.colorbar(im, ax=ax, fraction=0.046, pad=0.04, label=\"dB\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIGS, \"fig_synth_spectrograms.png\"),\n",
    "            dpi=130, bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e37qm1k9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:36:02.416163Z",
     "iopub.status.busy": "2026-05-01T20:36:02.416042Z",
     "iopub.status.idle": "2026-05-01T20:36:02.746768Z",
     "shell.execute_reply": "2026-05-01T20:36:02.746066Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1680x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note: close profile overlap = unit-faithful generation (supports augmentation).\n",
      "Large shape mismatch = distribution shift (would explain null augmentation result).\n"
     ]
    }
   ],
   "source": [
    "# ── Mean mel profile: real vs synthetic per unit ──────────────────────────────\n",
    "fig, axes = plt.subplots(1, 3, figsize=(14, 4), sharey=True)\n",
    "fig.suptitle(\"Mean Mel Profile (±1 SD): Real vs WhAM-Synthetic — by Social Unit\",\n",
    "             fontsize=12, fontweight=\"bold\")\n",
    "\n",
    "for i, unit in enumerate(le_unit.classes_):\n",
    "    ax    = axes[i]\n",
    "    u_enc = le_unit.transform([unit])[0]\n",
    "\n",
    "    # Real training codas for this unit\n",
    "    real_ci    = train_idx[y_unit[train_idx] == u_enc]\n",
    "    real_mel   = X_mel_full[real_ci].mean(axis=2)   # (N, 64) — mean over time\n",
    "    real_mean  = real_mel.mean(axis=0)\n",
    "    real_std   = real_mel.std(axis=0)\n",
    "\n",
    "    # Synthetic codas for this unit\n",
    "    synth_ci   = np.where(y_unit_synth == u_enc)[0]\n",
    "    synth_mel  = X_mel_synth[synth_ci].mean(axis=2) # (N, 64)\n",
    "    synth_mean = synth_mel.mean(axis=0)\n",
    "    synth_std  = synth_mel.std(axis=0)\n",
    "\n",
    "    bins = np.arange(N_MELS)\n",
    "    ax.fill_between(bins, real_mean - real_std,  real_mean + real_std,\n",
    "                    alpha=0.25, color=UNIT_COLORS[unit])\n",
    "    ax.plot(bins, real_mean,  color=UNIT_COLORS[unit], lw=2,   label=\"Real\")\n",
    "    ax.fill_between(bins, synth_mean - synth_std, synth_mean + synth_std,\n",
    "                    alpha=0.20, color=\"gray\")\n",
    "    ax.plot(bins, synth_mean, color=\"gray\",            lw=2, ls=\"--\", label=\"Synthetic\")\n",
    "\n",
    "    ax.set_title(f\"Unit {unit}\")\n",
    "    ax.set_xlabel(\"Mel bin (0 = low freq, 63 = high freq)\")\n",
    "    if i == 0: ax.set_ylabel(\"Mean power (dB, time-averaged)\")\n",
    "    ax.legend(fontsize=9); ax.grid(alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIGS, \"fig_synth_mel_profiles.png\"),\n",
    "            dpi=130, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "print(\"Note: close profile overlap = unit-faithful generation (supports augmentation).\")\n",
    "print(\"Large shape mismatch = distribution shift (would explain null augmentation result).\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "xqwlkfln",
   "metadata": {},
   "source": [
    "---\n",
    "## 10. Augmented DCCE Training\n",
    "\n",
    "We sweep N_synth ∈ {100, 500, 1000}. For each:\n",
    "1. Subset the first N_synth synthetic codas\n",
    "2. Concatenate with the real training dataset\n",
    "3. Re-train DCCE-full from scratch (same 50 epochs, same seed)\n",
    "4. Evaluate on real-only D_test\n",
    "\n",
    "The N_synth=0 baseline was trained in §6.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "m68h1d72",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:36:02.748794Z",
     "iopub.status.busy": "2026-05-01T20:36:02.748629Z",
     "iopub.status.idle": "2026-05-01T20:39:29.361814Z",
     "shell.execute_reply": "2026-05-01T20:39:29.361195Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "N_synth = 100  |  D_train = 1206\n",
      "============================================================\n",
      "  DataLoader: 18 batches of 64\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=100]  epoch  10/50  loss=5.0974  (11s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=100]  epoch  20/50  loss=4.2925  (22s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=100]  epoch  30/50  loss=4.0244  (33s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=100]  epoch  40/50  loss=3.9053  (43s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=100]  epoch  50/50  loss=3.8835  (53s)\n",
      "  [N_synth=100] done in 53s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "  Evaluation (N_synth=100):\n",
      "    unit                       F1=0.8740  Acc=0.8773\n",
      "    coda_type                  F1=0.5246  Acc=0.8014\n",
      "    individual_id              F1=0.7877  Acc=0.8824\n",
      "\n",
      "============================================================\n",
      "N_synth = 500  |  D_train = 1606\n",
      "============================================================\n",
      "  DataLoader: 25 batches of 64\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=500]  epoch  10/50  loss=4.8736  (14s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=500]  epoch  20/50  loss=4.1513  (28s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=500]  epoch  30/50  loss=3.9238  (41s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=500]  epoch  40/50  loss=3.8787  (55s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=500]  epoch  50/50  loss=3.8621  (67s)\n",
      "  [N_synth=500] done in 67s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "  Evaluation (N_synth=500):\n",
      "    unit                       F1=0.8720  Acc=0.8736\n",
      "    coda_type                  F1=0.5178  Acc=0.8051\n",
      "    individual_id              F1=0.8033  Acc=0.9085\n",
      "\n",
      "============================================================\n",
      "N_synth = 1000  |  D_train = 2106\n",
      "============================================================\n",
      "  DataLoader: 32 batches of 64\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=1000]  epoch  10/50  loss=4.6759  (16s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=1000]  epoch  20/50  loss=4.0139  (33s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=1000]  epoch  30/50  loss=3.8717  (50s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=1000]  epoch  40/50  loss=3.8399  (68s)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [N_synth=1000]  epoch  50/50  loss=3.8272  (85s)\n",
      "  [N_synth=1000] done in 85s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "  Evaluation (N_synth=1000):\n",
      "    unit                       F1=0.8692  Acc=0.8736\n",
      "    coda_type                  F1=0.5454  Acc=0.7942\n",
      "    individual_id              F1=0.7830  Acc=0.8824\n",
      "\n",
      "All augmented experiments complete.\n"
     ]
    }
   ],
   "source": [
    "N_SYNTH_VALUES = [100, 500, 1000]\n",
    "\n",
    "augmented_models    = {}\n",
    "augmented_histories = {}\n",
    "augmented_results   = {}\n",
    "\n",
    "for N_synth in N_SYNTH_VALUES:\n",
    "    print(f\"\\n{'='*60}\")\n",
    "    print(f\"N_synth = {N_synth}  |  D_train = {len(train_idx) + N_synth}\")\n",
    "    print(f\"{'='*60}\")\n",
    "\n",
    "    synth_ds   = SyntheticCodaDataset(\n",
    "        X_ici_synth[:N_synth], X_mel_synth[:N_synth],\n",
    "        y_unit_synth[:N_synth], y_type_synth[:N_synth])\n",
    "    loader_aug = make_loader(ds_real_train, synth_ds)\n",
    "\n",
    "    print(f\"  DataLoader: {len(loader_aug)} batches of {BATCH_SIZE}\")\n",
    "\n",
    "    model, hist = train_dcce_full(loader_aug, label=f\"[N_synth={N_synth}]\")\n",
    "    augmented_models[N_synth]    = model\n",
    "    augmented_histories[N_synth] = hist\n",
    "\n",
    "    res = linear_probe(model)\n",
    "    augmented_results[N_synth] = res\n",
    "    print(f\"\\n  Evaluation (N_synth={N_synth}):\")\n",
    "    for task, r in res.items():\n",
    "        print(f\"    {task:25s}  F1={r['macro_f1']:.4f}  Acc={r['accuracy']:.4f}\")\n",
    "\n",
    "print(\"\\nAll augmented experiments complete.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7nhi0rfj",
   "metadata": {},
   "source": [
    "---\n",
    "## 11. Results Summary\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7loxofri",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:39:29.364001Z",
     "iopub.status.busy": "2026-05-01T20:39:29.363886Z",
     "iopub.status.idle": "2026-05-01T20:39:29.379492Z",
     "shell.execute_reply": "2026-05-01T20:39:29.379015Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Phase 4 results:\n",
      " N_synth  D_train Unit F1 CodaType F1 IndivID F1 Unit Acc IndivID Acc\n",
      "       0     1106  0.8780      0.5777     0.8338   0.8845      0.9020\n",
      "     100     1206  0.8740      0.5246     0.7877   0.8773      0.8824\n",
      "     500     1606  0.8720      0.5178     0.8033   0.8736      0.9085\n",
      "    1000     2106  0.8692      0.5454     0.7830   0.8736      0.8824\n",
      "\n",
      "── Phase 2-3 references ─────────────────────────────────────\n",
      "  WhAM L19     Unit F1    = 0.895\n",
      "  WhAM L10     IndivID F1 = 0.454\n",
      "  DCCE-full    Unit F1    (Phase 3 best — compare row N_synth=0)\n",
      "  DCCE-full    IndivID F1 (Phase 3 best — target to beat with augmentation)\n"
     ]
    }
   ],
   "source": [
    "# ── Collect all results ────────────────────────────────────────────────────────\n",
    "all_n   = [0] + N_SYNTH_VALUES\n",
    "all_res = {0: baseline_res}\n",
    "all_res.update(augmented_results)\n",
    "\n",
    "rows = []\n",
    "for n in all_n:\n",
    "    r = all_res[n]\n",
    "    rows.append({\n",
    "        \"N_synth\"     : n,\n",
    "        \"D_train\"     : len(train_idx) + n,\n",
    "        \"Unit F1\"     : f\"{r['unit']['macro_f1']:.4f}\",\n",
    "        \"CodaType F1\" : f\"{r['coda_type']['macro_f1']:.4f}\",\n",
    "        \"IndivID F1\"  : f\"{r['individual_id']['macro_f1']:.4f}\",\n",
    "        \"Unit Acc\"    : f\"{r['unit']['accuracy']:.4f}\",\n",
    "        \"IndivID Acc\" : f\"{r['individual_id']['accuracy']:.4f}\",\n",
    "    })\n",
    "\n",
    "results_df = pd.DataFrame(rows)\n",
    "print(\"Phase 4 results:\")\n",
    "print(results_df.to_string(index=False))\n",
    "print()\n",
    "print(\"── Phase 2-3 references ─────────────────────────────────────\")\n",
    "print(\"  WhAM L19     Unit F1    = 0.895\")\n",
    "print(\"  WhAM L10     IndivID F1 = 0.454\")\n",
    "print(\"  DCCE-full    Unit F1    (Phase 3 best — compare row N_synth=0)\")\n",
    "print(\"  DCCE-full    IndivID F1 (Phase 3 best — target to beat with augmentation)\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "pg69d8af",
   "metadata": {},
   "source": [
    "---\n",
    "## 12. Visualizations\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "i17fwgtn",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:39:29.381013Z",
     "iopub.status.busy": "2026-05-01T20:39:29.380927Z",
     "iopub.status.idle": "2026-05-01T20:39:29.684384Z",
     "shell.execute_reply": "2026-05-01T20:39:29.683932Z"
    }
   },
   "outputs": [
    {
     "data": {
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XGF0rdDx//vlnK1KkiFuub9++tmnTppBzQaWkp0yZEjy+maHfzvHjxwefq4Rr586d3XVN3zVdW+bPnx+cf+SRR7r3qemisob+7+Brr70W/Pd5553nzplox1zvrVmzZm4cYq/stz7vGTNm2OGHH55u+0QaNWqUZts6T/R7lt5vWVY+B29cPH2++pw9+oy93/5IpanDvfvuuyG/oTrXVPZXY4BqDOXwtmIsmW1v6LqlcvD+z1Tv+ddffw1+fvqNVSnjuXPnun3btWuXO54qJy8aM1afj9pF+i589NFHUfevRIkS7hw59NBD3bW5bNmy7rzT91rnrXce6frplfrW9cErjaz2j84llR1XyWL9vuj8iURtAJW913vxfnP1mQIAgCSV1xFFAACQOBl64eXL9OjXr1/ELDuVccooZR35141Vmi2j5f4yctdydjOr8mvJTb0vZVSq3JaXMTBnzhx3R7meq1ShpHf8lGWg9zVu3Dh3p7vurL/wwgtD1lu5cqVbVtka/owRlS5TSTc/lf3yZ3WGZyJEujN/7ty5Icv873//C5l//vnnRy0zmJ6MZJZEyjCId4aejrM+I28bo0aNCs5TKbFI54s/MyH8Ln9Rya3ly5cH4iH8XNfx8GdY3XDDDXHJ0FOJMv/5E6lMXPg55c+oUkaJlzU0ceLE4HRlV/gznMLPu5EjRwbnqZSkf977778f8noZ+c0Jz+bTNj16Lf88nd9Z+Qy8rNtw/gw1laRVdtyXX34ZnPb888+7TNbw75z/mCjz019SMfy1VZ7OK+mmvypd5807/fTT0+yTv5Szys5t3brVTfdnvKkMaUbOuyeeeCL4XJ+9//v/ySefxPztzUxJUz10DnmUqeTPKvKf3+EZbeHZWyqP6s1r2bJlto+rP/NHmdLeb7Do8/aXou3Ro0fU3zuVAvQyyaKVA9Z1//HHHw+MGDHC/f6r9J+3vsr9+qVXklT8GWRqF/jLzqqMs3//JkyYECwL6Z+uz9z/fv0ZmhnN0FNGk3+dP//8M80yulb5j4/KaPrP402bNgXPDf+2lE3oCT8fVcrUo2uyf57/dz+j15Ws/pZl5XPIaBslVoaeysN60/V98soge/T7nZF2T2bbGyof6s98U6lu/2/cwIEDQ/b5nXfecdNVFtM/Xct5VD71oIMOSvd4KHNa2eT6fL3vUalSpULKz3v0ffWm+8vW+7MMo/32d+3aNWZGJgAASB5k6AEAgPCbfUKe647k/EZZG/67yD3KNLj00kstUV1wwQXuEQ+6u/zqq6+2AQMGuLv8lV2UmpoavFM9PbrzfeDAgS4LKxZlM+jOfGXN+DPJlNmiu9j9ihcvHjOr058d4/n6669DnisTzU+vo+wDj+5+1x3xyqaJlFGjzAdllyYSZXPoTnxlUspLL73kPrsdO3a4jMhIma3KoPKyE3SXvzKBlG2jY67sGmWc1K9fP8f2WZlfyvJSdpz+XnPNNdnepvbfyzDTeadMC2Xh6D1pXseOHV0mh99ll13msgWVSeFlZSh7x58xo4wLZUhEogygyy+/PPj8gAMOCJnvZchklTJl9PrZ3b6XdeepUqVKxOWUfedlqG3cuNFl1/iz73Te6BgrQ2jBggXBef5llNnhZUZFovPQyyrU34YNG9q6desivh9ldfsz5pQNpkwVUaaa9x1dsmSJ24dYmYGibJk777zTZR7p/PeytvR+9L2ePn161HUjZXZ755Cy6rzsKy87Rply/s9NmW7hmYwSnjWjLKtofvrpJ5dhp6ybrB5X/+spo6xevXpRXy/899PvpptuiphJtmLFCpcVHS0byP/bnxn6PfNnWiu7WpmBsfb9tNNOC/lcvGw9f/tE50RmMru8jKYWLVq4TCwvu1XZVMp802+MvgO6jvgpk0zHTJlkei/6ne7fv3/Ib42y+LTdaPr165djvzUZ/S3L6ueQXXrdWbNmBZ8ryzS8qoL2Q7/76clse0PZj17mm+ic8f/Gaf0hQ4aEtCOUnRjr3FMGnrL1/JmO4Rm/Wt47xzLyPdLv33vvvef+rd85/btp06buvelaqN93r3JBOP81Ifx6AQAAkgsBPQAAkKajxM/rEAkPxKg8XkZFWje8Yz6j1Hly9913x1xG5d38ZZ08CnBkNaAXHuhUR2qi84IdXslC7xicccYZMdd7//33XcAmI7zjoOCBnzqjM0MBl0hBivDt1qxZM+Zzb3mVrhw8eHCa7amDLVpAT2Us4xVQzSx15nsBPQXnVF5LnZ9eWU2VNVN5O486G9XhpzKqXjk8PTzqqFcAQx3OOUHlI9UBqlKWOgdUPjG71EGq4I8+g99++811nKusmZ9KpKmTU6/vnTcqb6iShF5wU8uotFtGSvyqXKE/qKF98POC4FkV3jmd1e2H//5EEx4QUwDKC0Lpu+8FebWcAnrqbFaQySv9F2kbmXlP4e/n1VdfDZZyFH+5ybPOOsv9zngd7SqBmN5r63NX+VL9rnnBLvGXiY4m0jVB9L1SQM9f0tErTRjrtybab1R6FIyMFNDL6HHNzOtpWa0bKWAT7Rqs3xb/b0k0mb0GKqCU0fPYH5Twfy7edzbW84zSuanfDgVedJxUStavdevWbppX/lhBVgXkvBtP9Fuj31f/zUPplRP3f8bx/q3J6G9ZVj+H7Ap/3cy2Efwy297Iajsiq+eefvN0Y4lKZWbme6QbY/S7rBK/KpeuGxT8NynopjT9Tp5++ulptuM/fzLz+QIAgPyHgB4AAAhSx6qCGn4a00w0xoc6E7xx9DQWiTorlIGSnq5du9pTTz0VfK4OiXjc8Z3T/J2g/k5p8cZLSmT6vHTnuX+cGXUYxcq+EX/GQZkyZdx4O+poV2e67uZXR1W48PHD/ON9ZYReJ5Lw7WpsH/94dnoea/n8Qlkd/jGalP3hz6JQx3N4No2CGrfeeqvr8Fu4cKELZGssJgVolLGmMbQ0/t/++++fI/uswNsjjzzixjV75ZVXstyx7tehQweXreUFmvSe9G+Nk6VxwTTGnsZyUvaoR+/TC+jp/Hz66aeDHbEKYOn3J5rw8evinZEcr+17QQV/h3Ok315loCowrrG0vN9pr0NYGY4eZXpovCZ1Ag8dOjRkG+kF1TLznrzPxZ+hF41+ZxTUVnAtFgVRNB6d1xFevXp1l+GaXcra8viDhdF+ayL95uhYaKwyZUhHE228yYweV//r6VhFymzOyHYi/eZqDC5/ME8ZSPq+6VzT9VBZbOFZSxml96198YINyiLW71M0yroM/1xEmVn+a4A/UysztH29V93EpN9a/e4omKIbBnS91zSNW+gfa++KK65wYzfq91XZr0888YT77fWOp45XLP7POK9+a7L6OWRX+Otmto2QnfZGpHZErOfe8pHOPf/1NNq5p+xWfzBPNxzoWq3fcR0D/WZFCpSqbabrl37f9Lutc1PnpQLLuhaq/e3dlKQxA6MFLbV9AACQvKLXVgAAAAWKOrAU/FEnlb/TV0EGr7NIZQA96tBSZoOyDcJt377dHnjggeBzlZxTKSuPOufV6RnpLmJ1YLz88svZei/ab207/OHPQskIf2eO9ssLEqhTRWUG4+25555znT3eI7P7G4kyYLwAnjp/08sgEP9nqs4rdR55GVH+YJ+fynv5O5HUCaosKz/dcZ7ZMm0qfeYXHnD2d7b6l1cWZ6RzQMc4Ufk/G70vBWMizfM6MJXxoE5kBd2vuuoqF1z78ssvg8soAObvnFcAzju3MlLWLD3q4H/wwQfdv3VsowU8MmrPnj0uOKj9U9lQlUVTlqXKjp544onB5cIDCs2bN3ed0t57Vlk8f4nWWOXkMssfqFEJudwSXk5OZYUj0bHzB+4U4NRvdXigzv9vf0lMdRJ7v/nZpUDsDz/8kOHldTyj/b74KXCsALdHGXuRSkeGi/R7oIf3XVCwyqPyrf5ylfr9j1a+UqU4/a+h/dM5GP5QZrTO1fAgQWb5X0+laVWKL9Lr6Xf7iCOOyFTgKPx6rjKTyrDXd0iBKwXZMxJQivTd0LnlL2Op3wsFyML3WwF6XXeOPPJIt1z4+ajsJf/x9pdczgwF7LS+rl29e/d2gVFl7fl/a8N/a5QR7M8y9WeG6lilF4zOjPSOZ1Zl9XMI36fM7pdeV+eqR9nXKoXpp89DJV/Tk9n2hsrg+n+7dc74M9qitSNinXu6XkX7vQr/HumGA+2vvou6RkfLetTvjNrPCn4qyKr22+OPP25vvPFGcBll7XtB5GjXhPDrBQAASC5k6AEAUEDNnz/fleRTZ6/u/FXnir8TQp2S4cGT22+/3Y1V891337nn+qtAncr/NGnSxHVw6A53BSLU0ag7kr2xTNSBokwZL9NNJfoUuFOnhTrJlFGi7WlMJXXk+zts/TQ/vbGQ4kWdQN4YZno/6gRTp6/GV9HYYfmBOquV1aQgpMpKZeT4qLNM64gCvGeffbbL/JkyZUpIwMhPHb633XZbsINTx0tZZ8pYUJaU7lbXXebqJMxoOU/RNo4//nhXQlN0zug8VUe1ggUfffRRcFkFtsLHPcoJ+r4ouynS2EfaJ39AKdq5Gok6lTW+oTr0/IFPdSoqwOWnIIyOtzLa9HmpRKA6Q8PLxuV0xqICbZ07d3aZgdmlc0YBD/2WaGwlvSedr8qGVWAq1nvSeeWdm14AS+ekblKIJwU3vEC7gsMqa6dMWP2G5WS5Vo1Tqe+y99o6z6KN1aZgnfe75b9pwh/E0++7Si6q/LF/GXXeh3faZ1V4dp7GzArPKhFde3TOe+vodzw9yirU9rwbOOJBr6uMK6+jX5nICgjreKgjX8HiaN8B/T4qGC0q66ySr/otUhBBHe0KXCgYpuwa/9h8WaFtKEvMyw7SNVRlMpVJ5d24omuUsu1UotofAEyPAgH63njHQN8r3RSgIILOd13jM1JaWwELfR+USacghsbk0zmnjDddT0RtBc3XvuvapO+/2iW6zujfumlBgQ2d5/r984KJakuovaCqAfrdmTp1apaOowLf2r6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",
      "text/plain": [
       "<Figure size 1800x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ── Augmentation curves: macro-F1 vs N_synth ──────────────────────────────────\n",
    "tasks        = [\"unit\", \"coda_type\", \"individual_id\"]\n",
    "task_labels  = [\"Social Unit\", \"Coda Type (22)\", \"Individual ID\"]\n",
    "task_colors  = [\"#4C72B0\", \"#DD8452\", \"#55A868\"]\n",
    "ref_lines    = [(\"WhAM L19\", 0.895, \"#888888\", \"--\"),\n",
    "                None,\n",
    "                (\"WhAM L10\", 0.4535, \"#CC6600\", \":\")]\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
    "fig.suptitle(\"DCCE-full: Macro-F1 vs. N_synth (WhAM-generated synthetic codas)\",\n",
    "             fontsize=12, fontweight=\"bold\")\n",
    "\n",
    "for ax, task, label, color, ref in zip(axes, tasks, task_labels,\n",
    "                                        task_colors, ref_lines):\n",
    "    f1_vals = [all_res[n][task][\"macro_f1\"] for n in all_n]\n",
    "    ax.plot(all_n, f1_vals, \"o-\", color=color, lw=2.5, ms=8,\n",
    "            label=\"DCCE-full + D_synth\")\n",
    "    for x, y in zip(all_n, f1_vals):\n",
    "        ax.annotate(f\"{y:.3f}\", (x, y), textcoords=\"offset points\",\n",
    "                    xytext=(0, 8), ha=\"center\", fontsize=8)\n",
    "\n",
    "    if ref is not None:\n",
    "        ref_label, ref_val, ref_color, ref_ls = ref\n",
    "        ax.axhline(ref_val, ls=ref_ls, color=ref_color, lw=1.5,\n",
    "                   alpha=0.8, label=f\"{ref_label} ({ref_val:.3f})\")\n",
    "\n",
    "    ax.set_xlabel(\"N_synth (synthetic codas added to D_train)\")\n",
    "    ax.set_ylabel(\"Macro-F1 (real D_test)\")\n",
    "    ax.set_title(f\"({'abc'[tasks.index(task)]}) {label}\")\n",
    "    ax.set_ylim(0, 1.05)\n",
    "    ax.set_xticks(all_n)\n",
    "    ax.legend(fontsize=8); ax.grid(alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIGS, \"fig_augmentation_curve.png\"),\n",
    "            dpi=130, bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "jhwq1l68",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:39:29.686164Z",
     "iopub.status.busy": "2026-05-01T20:39:29.686035Z",
     "iopub.status.idle": "2026-05-01T20:39:29.809088Z",
     "shell.execute_reply": "2026-05-01T20:39:29.808675Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ── Training loss curves ───────────────────────────────────────────────────────\n",
    "fig, ax = plt.subplots(figsize=(10, 4))\n",
    "ax.plot(hist_baseline, lw=2, color=\"#AAAAAA\", ls=\"--\", label=\"N_synth=0 (baseline)\")\n",
    "aug_colors = {100: \"#4C72B0\", 500: \"#DD8452\", 1000: \"#55A868\"}\n",
    "for n, hist in augmented_histories.items():\n",
    "    ax.plot(hist, lw=2, color=aug_colors[n], label=f\"N_synth={n}\")\n",
    "\n",
    "ax.set_xlabel(\"Epoch\"); ax.set_ylabel(\"Training Loss\")\n",
    "ax.set_title(\"DCCE-full Training Loss — Real vs Augmented (50 epochs, CosineAnnealingLR)\")\n",
    "ax.legend(fontsize=9); ax.grid(alpha=0.25)\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIGS, \"fig_aug_training_curves.png\"),\n",
    "            dpi=130, bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c52w6gyn",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:39:29.810586Z",
     "iopub.status.busy": "2026-05-01T20:39:29.810480Z",
     "iopub.status.idle": "2026-05-01T20:39:37.501504Z",
     "shell.execute_reply": "2026-05-01T20:39:37.501018Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best N_synth for IndivID F1: 0  (F1=0.8338)\n"
     ]
    },
    {
     "data": {
      "image/png": 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ez6ZJKdVh0P10UVCkJ8+nBmDm/XqLJg/NRR3i9gJAmdatW2c777yz60i39x5EHQF1Xroj3/NqwlDty6amJtcgVQPVDwqq4/7b3/7WTe6roGJmh/Giiy7K2VDNRZMB33jjjfbVr37VdTR10T5Rh/vEE090nQMFiDq7P7UdMtdZHaAPPvjALevqsZiLGtl6v3rvLQO6uv6Z2lq0/9r7TGsbAQCA/t2W9+Vr++ixY8aMcW0ktRlztY3126+T7mrP52sfZBo5cmS3T+b5bTWtk9rtPW1/d9T2859PJ7V7sz3fUVv+rbfeynmiOLst7+uoPZ/rpH5nKdCjS3vP67++T23uH/3oR3bLLbfYVVddZeFw2BYtWuQmgFd/7rTTTuv063/ve99z/ZBHH33UXUpLS93JaQ1GUmDL399d2Z+Z9+0N6hPkGhjl9xP0uci1PJv6F347P1+gJdf+7+x3gd9O7+5x+fDDD3fpuNyafRu91t///nf3HhTI2hLHV0/7qluy/9Tec2/cuLHVc/v782tf+5q79NZxlk9P+8td/Y0BBhsCQAB6xG/oa8RILBbL2XHUCBgFf2bOnGnXXnut7b777u5xGuWkx+TK/MjV2NPIlM5Q50HZKBodp9EoBx10ULfeW0cN175+PgW42pOvA+GPWDr22GPdCLf2dDQCrC9dcsklrlH9y1/+0jWq1Rm65557XEffz8LpynMpIPbAAw+4zB1dNGJLlz322MONmMzuDHVlf/bmvr/ppptcR1lByB//+McuUKXOn/850nWdgGivA7W1jsHOBuEAAED/bcv3hq625/faay/399VXX3Vt18zBOJ1V6G15Bdpmz57d7nP4WQP9kU7SnnDCCXb//fe7NriyWdSuVxtWbfl8wbtcRo8e7TIIlLHzj3/8w2VpKNtCGVmqOPHrX/+6Tf+gv+zPrq6Hv//1mciXzdXd7wKdyNdnVduzu8elTuArW649ypjri76Njo8NGzbY2Wef3aXHdef46m5fdUv2n7ry3P7+VNZWR8HhfEHBrujp57GrvzHAYEMACECPaPSL0n9VPkKNGo20y6TblT6sBupDDz3UZmRYZ1K5/VTkjkY4ZVJnQgGgO+64w/7v//7PusIfteiPesmmkTF+6nVH2T/+fTSaTc+nbJNs/utkP5ffAddIlvZGyXTV+PHjbcGCBW7kkYJAneGv25IlS/Lep71lHcn32KVLl7rOlBrK2cEoBfkOPvhg1/DW5T//+Y/bNyoV4JcN7GrD/sILL3QX0SgvjejScXT99de78oX+tnjnnXfcfps1a1bO9+Kvs78e/igkbfee+stf/uL+qqORK42/N0u/baljEAAADIy2fGfaawocqSRZvraxlvttCT+zpyOHHXaYK+mj0dwPPvhgl8o1+eug9roCW7kGm+Vrf3enb5Dv+bZkW160r26//fZOP07rprZovv3Yk7a89pMySKqqqvI+b65trZPkCgApM0Lt2ttuu82dpFY/pav0OGVk6CI6pn/2s5/ZFVdc4bKNFGDSgC5/PRYvXtwv9qffT1i2bJkrodZRFpAG8Ok+uq/en1/6qqfU11YAKLMMWHeOy+nTp3fpuNyafRsda+2VSu+N42tL9VW3Nn9/apBkV8oxdldP+svd+Y0BBhuG5gLoMT99+u23326zTB0BnQyvqKjIWRbgrrvu6vD5/eftSpr2F77wBdcA00n8n/zkJ52q7Z1dm/juu+9uNe+M7/e//70bgbTjjjt2qtPoP5+CUbmooyPZc+v4z61gQ7Y333zTdRK646Mf/WirxnZnR2Hq5IBKN+Sqba71mTt3rnXXvffe6xpu+Y4PZY8psytXp1HU+P7Vr37l/t1bDVRlqn3pS19y/84sbdfZ/XnggQem11nbT501bT+VtegJjVrLbJRn0oi03kjB78wxqE5nb9dFz8fvcOf6PAIAgC3Xls/0xBNPuDkasqnNrPa+Bjpp/oZs/vNqvprOZnWoHe+38y699NJ0+ycflYrzTxxqHVSSSeukbO5s8Xg83cbMNbdlNlUT0Oh0ncDNNW/p/PnzXTaAThDrhG9n2lGZc2x0leYj0cCo1157rUsnx/02bL7+V2f6Ze3J9Xj1BTUIMN+2VqBv1113dfPHXHPNNW4/q6/SXnm2zlLf5fLLL3fHg068+8eH2uUKmqi821NPPdXmcQqAqExY9jr7+1MD+3QM9db+1CA0BQvUF8rXv8ik/oWf+aU+1Nb+HshH66QKH08++WSnS7dvzb6N+u/KNFOgS33LLXV8ba2+6pbuJ3XnnEFP1qcn/eXu/MYAgw0BIAA9poZ7vskc/UkF1Qj84x//2GqZJq9UmndH9LzqdHWmg+bTyA+NPNLjlAF05ZVXtpqA0adO3Omnn+4mm/RplIsaoBoV9v/+3/9rlc6vxoU6J6I5YzpDz62GujrH/qgjnxpUSgVXYzlzHcTPLvnBD37QquaxAj8aOdTdNPjPfvaz7v0pkKWSfP7Ev5n03jM7zBodqlJ+oqBIZkNcHTultfckLV8NPY2eytzWKt/nHx9+ICbbxz72MfdetB21zvvss4+rx9wVTz/9tOuwZTdSlfbud+Qy09ovuOACF9BUmThNVJpJwbGf/vSn6ZMVPu1fHUty3nnn2Ysvvtjqcdp26vj6tbc7U8pD5QQyt5c6o372Um/xj0HVrs7s1Cj4o5GZytDaGvR5VmdC84mpPjUAANg6bflMajPq5KWyajLbH1dffXW77TX/ef3X6Sy1uVUqSm08DaxR2yubTprfeuutNmPGDBeI8fkVALRumQEYte8uu+wy14ZR+06j9jui+2kidLW7Pve5z7Vqr6mPo9u07NRTT211ElvtUrUZNVeP+gGZlPHS3ZP3alfqfem9qC2c3a70t4sypzLf+2c+8xl30lptTpXcyqR1+etf/2o98a1vfavVPlCQRMeEtpdO7mof5hu45/d5xJ8vpStuuOGGnIPjVLZL2WkKzvn7RtkzfptZ6+dnr4lO5KuNq2wClTHLDBToOFCQU/tccxdlUmAhu1/QFX7/UnOt5Aok6X1kzqH0jW98wx0HWv8//elPbfphuq7jQkHb3v4eyEf9fn0/aPuoGkeuwKeyZnROQG36rd23UQBXWYGa47WrZda6cnz1dl+1I35gMvOz1xu07vrcqhS69kOuIPzq1avbfJd0d3160l/u7m8MMKh4ANBDr776qlqc3iGHHJJz+Q033OCW67L//vt7p59+urfvvvu661deeWV6WS5z5851yw444IBurdvf/vY3b+jQoe45iouL3Trq9T/2sY95U6dOTb/2Jz/5yVaPe+GFF7whQ4a4ZZMmTXLLjzzySC8SibjbzjrrLC+VSrV6zG233eaWnXPOOW3W4+c//7kXCATc8v3228/71Kc+ld4GwWDQ+/Wvf93mMRs2bPDGjx/v7jN69GjvpJNO8g477DCvrKzM/dU20bJnnnmm1eP0HnPdnr1dt9tuO3e/YcOGeYceeqhbp+OPP97bcccd0+uZafPmzd6ee+7pllVWVrptePLJJ7vHT5w40TvhhBPcMm2HztK20mMuvPBCr6ioyL22tvWsWbO8cDjsll188cXtPsd3v/vd9H68/fbbva668cYb3WOrqqrcdtV20HsbM2ZMetsvWbKk1WMeeOABt75aPn36dHdMabtrX+q2q666qs3r6Hg5//zz3XIdC/vss4973FFHHZXez4sXL+7weHr++efTx+HOO+/snXbaad4RRxzhRaNRtw75jgt/W3dl/8hxxx3nHldaWurW9dhjj/VGjRrlts95553nll1zzTWtHqPruW7v6L219xnS8a9l22+/vdtHn/nMZ7zLL7+8S+8FAAB0vS3v/66r/at239ixY71TTz3V++hHP+ra11qmNmQymcz5+I9//OPuPk888USXN39tba1rl/ltPbU5TzzxRNeGOvzww73y8vJ02/S///1vq3aX7qNlaiOpHa82ph6v29Q/ePHFF9u8ntoZ2W0yWbdunbfrrrum2856T7r4/Yzdd9/dW79+fZvn++EPf5hu+82cOdO1ndV+U1vusssuy7nd1YZrb3/4vvKVr6S3y2677ebaSmoXHnjgga6/oNsfffTRVo/5wx/+kG6vql2vbaQ2v677z6dt0FnaTnqM+hV6fW3ro48+2q2H374dMWKE99Zbb+V9jvr6+vR21P7Jdxy1R+14PV79O+0XvS9tB/+9XnHFFa3u39jY6Po/WqZtpeNXx7Tf/tf7WbRoUZvXueeee9J9Om2/T3ziE27f67avf/3rObefv4062q7f/OY30/tT/Qsdr2p3+32z7Lb93Xff7ZWUlKSfW5/HM844wx3r22yzjbu9K23l1atXu+Nyhx12aNPP7aid7ovFYm476n6hUMjba6+9vFNOOcXdpr6v33+aP3/+Vu/bfPWrX835mdgSx1d3+qodvZ98/atVq1a5fpqWHXTQQd65557r+kk6D+Jr73xLe997y5Ytc8eillVUVLj3rPeuz/ouu+zijnv1CzM1NTW5/rMeo/1/9tlnu/W59dZbOzxf0dX+cm/8xgCDBQEgAL3iIx/5iPuRzvWDLPfee6+7jzpnajwoEHTnnXd22CC59NJL3TL/vt1RU1PjOl86ua/GsBqYauhPmzbNNTD++c9/5nycTvorMKFGsBqgavgdfPDBbl260yj+97//7RpLWgcFN/RXjRU1evNZunSpa8ir46R12Gmnnbxrr73Wa25uzttw6kwAyN8uapCq06f9oudXh1776eqrr/beeOONNo9REEgNXH+b6P6f/exnXae4OwGGzMe88sorLtigDqBOJsyYMcO75ZZbcm7rTC+99JJ7juHDh7vOXFe99957riGt40MNS3VM9Fx6fXXE1q5dm/Nx8+bN884880xv2223dceUTgaow/vwww+3+3p///vfXWdu5MiR7nFqIKsx/YMf/KDV+rd3PL3++uvpQIy2lTojWlc1uPPt/+4GgLRO/j7X+qpj/OlPf9p1NvJ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",
      "text/plain": [
       "<Figure size 1680x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Interpretation: if synthetic codas (×) cluster with real codas (•) of the\n",
      "same unit, WhAM generation is unit-faithful — supporting the augmentation claim.\n"
     ]
    }
   ],
   "source": [
    "# ── UMAP / t-SNE: real vs synthetic embeddings in DCCE space ──────────────────\n",
    "best_n = max(all_n, key=lambda n: all_res[n][\"individual_id\"][\"macro_f1\"])\n",
    "best_model = augmented_models.get(best_n, model_baseline)\n",
    "print(f\"Best N_synth for IndivID F1: {best_n}  \"\n",
    "      f\"(F1={all_res[best_n]['individual_id']['macro_f1']:.4f})\")\n",
    "\n",
    "# Real test embeddings\n",
    "Z_real  = extract_z(best_model, test_idx)\n",
    "u_real  = y_unit[test_idx]\n",
    "\n",
    "# Synthetic embeddings\n",
    "if best_n > 0:\n",
    "    best_model.eval()\n",
    "    Z_synth_parts = []\n",
    "    X_ici_s = X_ici_synth[:best_n]; X_mel_s = X_mel_synth[:best_n]\n",
    "    with torch.no_grad():\n",
    "        for i in range(0, best_n, BATCH_SIZE):\n",
    "            z, _, _ = best_model(\n",
    "                torch.tensor(X_ici_s[i:i+BATCH_SIZE]).to(DEVICE),\n",
    "                torch.tensor(X_mel_s[i:i+BATCH_SIZE]).to(DEVICE))\n",
    "            Z_synth_parts.append(z.cpu().numpy())\n",
    "    Z_synth  = np.vstack(Z_synth_parts)\n",
    "    u_synth  = y_unit_synth[:best_n]\n",
    "    Z_all    = np.vstack([Z_real, Z_synth])\n",
    "    u_all    = np.concatenate([u_real, u_synth])\n",
    "    sources  = np.array([\"real\"] * len(Z_real) + [\"synthetic\"] * len(Z_synth))\n",
    "else:\n",
    "    Z_all = Z_real; u_all = u_real\n",
    "    sources = np.array([\"real\"] * len(Z_real))\n",
    "\n",
    "sc_dim = StandardScaler()\n",
    "Z_sc   = sc_dim.fit_transform(Z_all)\n",
    "\n",
    "try:\n",
    "    import umap as umap_lib\n",
    "    reducer = umap_lib.UMAP(n_components=2, n_neighbors=30,\n",
    "                            min_dist=0.1, random_state=SEED)\n",
    "    method  = \"UMAP\"\n",
    "except ImportError:\n",
    "    from sklearn.manifold import TSNE\n",
    "    reducer = TSNE(n_components=2, random_state=SEED, perplexity=30)\n",
    "    method  = \"t-SNE\"\n",
    "\n",
    "coords = reducer.fit_transform(Z_sc)\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n",
    "fig.suptitle(f\"{method} of DCCE Embeddings: Real vs Synthetic \"\n",
    "             f\"(N_synth={best_n}, D_test + D_synth)\", fontsize=12, fontweight=\"bold\")\n",
    "\n",
    "# Left: by unit\n",
    "ax = axes[0]\n",
    "for u_enc, u_str in enumerate(le_unit.classes_):\n",
    "    is_unit  = u_all == u_enc\n",
    "    is_real  = sources == \"real\"\n",
    "    is_synth = sources == \"synthetic\"\n",
    "    if (is_unit & is_real).any():\n",
    "        ax.scatter(coords[is_unit & is_real, 0], coords[is_unit & is_real, 1],\n",
    "                   c=UNIT_COLORS[u_str], s=20, alpha=0.7, label=f\"Unit {u_str} (real)\")\n",
    "    if (is_unit & is_synth).any():\n",
    "        ax.scatter(coords[is_unit & is_synth, 0], coords[is_unit & is_synth, 1],\n",
    "                   c=UNIT_COLORS[u_str], s=25, alpha=0.45, marker=\"x\",\n",
    "                   label=f\"Unit {u_str} (synth)\")\n",
    "ax.set_title(\"(a) Coloured by social unit\"); ax.legend(fontsize=7, ncol=2); ax.axis(\"off\")\n",
    "\n",
    "# Right: by source\n",
    "ax = axes[1]\n",
    "ax.scatter(coords[sources == \"real\", 0],       coords[sources == \"real\", 1],\n",
    "           c=\"#4C72B0\", s=18, alpha=0.65, label=\"Real (D_test)\")\n",
    "if best_n > 0:\n",
    "    ax.scatter(coords[sources == \"synthetic\", 0], coords[sources == \"synthetic\", 1],\n",
    "               c=\"#DD8452\", s=18, alpha=0.50, marker=\"x\", label=\"Synthetic (WhAM)\")\n",
    "ax.set_title(\"(b) Coloured by source (real / synthetic)\")\n",
    "ax.legend(fontsize=9); ax.axis(\"off\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIGS, \"fig_aug_umap.png\"), dpi=130, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "print(f\"\\nInterpretation: if synthetic codas (×) cluster with real codas (•) of the\")\n",
    "print(f\"same unit, WhAM generation is unit-faithful — supporting the augmentation claim.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8uuapcfw",
   "metadata": {},
   "source": [
    "---\n",
    "## 13. Discussion and Paper Interpretation\n",
    "\n",
    "### What we found\n",
    "\n",
    "The augmentation curve (§12) tells us whether WhAM's synthetic data carries useful unit-level structure for DCCE training:\n",
    "\n",
    "| Outcome | Interpretation |\n",
    "|---|---|\n",
    "| F1 **increases** with N_synth | WhAM generates unit-faithful codas; augmentation improves individual ID classification |\n",
    "| F1 **flat** with N_synth | Synthetic codas replicate existing patterns — no new information for DCCE |\n",
    "| F1 **decreases** with N_synth | Synthetic codas introduce distribution shift; pseudo-labels are noisy |\n",
    "\n",
    "### Connections to the paper's core claim\n",
    "\n",
    "This experiment directly tests Experiment 2 of the paper:\n",
    "\n",
    "> *\"Is WhAM useful not just as a feature extractor but as a domain-specific > data augmentor for cetacean bioacoustics?\"*\n",
    "\n",
    "If augmentation **works** → WhAM's generative distribution is biologically structured at the unit level, providing independent evidence for the representations found in Phase 2 (WhAM probing) and Phase 3 (DCCE).\n",
    "\n",
    "If augmentation **fails** → This is also publishable: it constrains what WhAM's coarse model has learned. Fine-grained individual identity may require the c2f model or direct conditioning on spectral formant features (Beguš et al., 2024).\n",
    "\n",
    "### Cross-experiment consistency check\n",
    "\n",
    "Compare the embedding UMAP (§12, right panel) against the Phase 3 UMAP (Fig. fig_dcce_umap.png). If synthetic codas occupy similar embedding-space regions as real codas of the same unit, then the DCCE representation is stable under augmentation — a sign that the model is learning generalisable features, not overfitting to the specific audio distribution of the real training set.\n",
    "\n",
    "### Limitations\n",
    "\n",
    "1. **Pseudo-ICI**: The ICI sequence assigned to synthetic codas is copied from    the prompt, not extracted from the generated audio. A proper click detector    (Gubnitsky et al., 2024) could provide ground-truth ICI for the synthetic WAVs.\n",
    "2. **80% masking is a heuristic**: The optimal conditioning strength is unknown.    An ablation over mask intensity (e.g., 30%, 50%, 80%, 100%) would clarify    this design choice.\n",
    "3. **Coarse model only**: WhAM's c2f (coarse-to-fine) model adds fine-grained    spectral detail. We used coarse-only generation for computational budget reasons;    c2f generation may produce more unit-faithful outputs.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ckua4jkn",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-01T20:39:37.503940Z",
     "iopub.status.busy": "2026-05-01T20:39:37.503836Z",
     "iopub.status.idle": "2026-05-01T20:39:37.513031Z",
     "shell.execute_reply": "2026-05-01T20:39:37.512579Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Phase 4 results saved: datasets/phase4_results.csv\n",
      "\n",
      "Figures saved to figures/phase4/:\n",
      "  fig_aug_training_curves.png\n",
      "  fig_aug_umap.png\n",
      "  fig_augmentation_curve.png\n",
      "  fig_synth_mel_profiles.png\n",
      "  fig_synth_spectrograms.png\n"
     ]
    }
   ],
   "source": [
    "# ── Save results ──────────────────────────────────────────────────────────────\n",
    "results_df.to_csv(os.path.join(DATA, \"phase4_results.csv\"), index=False)\n",
    "print(\"Phase 4 results saved: datasets/phase4_results.csv\")\n",
    "print()\n",
    "print(\"Figures saved to figures/phase4/:\")\n",
    "for f in sorted(os.listdir(FIGS)):\n",
    "    print(f\"  {f}\")\n"
   ]
  }
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