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https://github.com/TaterTotterson/microWakeWord-Trainer-Nvidia-Docker.git
synced 2026-06-12 20:10:19 -06:00
Update advanced_training_notebook.ipynb
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@@ -173,9 +173,19 @@
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"# -----------------------------\n",
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"# Download and Process Audioset\n",
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"# -----------------------------\n",
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"from datasets import Dataset, Audio\n",
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"import os\n",
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"from pathlib import Path\n",
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"import scipy.io.wavfile\n",
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"from tqdm import tqdm\n",
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"\n",
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"# Directory setup\n",
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"audioset_dir = \"./audioset\"\n",
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"os.makedirs(audioset_dir, exist_ok=True)\n",
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"\n",
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"output_dir = \"./audioset_16k\"\n",
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"os.makedirs(output_dir, exist_ok=True)\n",
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"\n",
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"# Full-scale dataset download links\n",
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"dataset_links = [\n",
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" f\"https://huggingface.co/datasets/agkphysics/AudioSet/resolve/main/data/bal_train0{i}.tar\"\n",
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@@ -192,10 +202,6 @@
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" print(f\"Extracting {file_name}...\")\n",
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" os.system(f\"tar -xf {out_path} -C {audioset_dir}\")\n",
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"\n",
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"# Directory for 16kHz WAV files\n",
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"output_dir = \"./audioset_16k\"\n",
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"os.makedirs(output_dir, exist_ok=True)\n",
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"\n",
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"# Collect all FLAC files for processing\n",
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"audioset_files = list(Path(audioset_dir).glob(\"**/*.flac\"))\n",
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"print(f\"Number of FLAC files found: {len(audioset_files)}\")\n",
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@@ -212,14 +218,18 @@
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" # Define output file name and path\n",
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" name = Path(row[\"audio\"][\"path\"]).stem + \".wav\"\n",
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" output_path = Path(output_dir) / name\n",
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" \n",
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"\n",
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" # Read and convert audio\n",
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" data = row[\"audio\"][\"array\"]\n",
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" if data is None or len(data) == 0:\n",
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" raise ValueError(f\"Empty audio data in file: {row['audio']['path']}\")\n",
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" scipy.io.wavfile.write(output_path, 16000, (data * 32767).astype(np.int16))\n",
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" \n",
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" if row[\"audio\"][\"array\"] is None or len(row[\"audio\"][\"array\"]) == 0:\n",
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" raise ValueError(f\"Empty or invalid audio data in file: {row['audio']['path']}\")\n",
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"\n",
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" scipy.io.wavfile.write(\n",
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" output_path,\n",
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" 16000,\n",
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" (row[\"audio\"][\"array\"] * 32767).astype(np.int16),\n",
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" )\n",
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" except Exception as e:\n",
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" # Log and skip problematic files\n",
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" print(f\"Error converting {row['audio']['path']}: {e}\")\n",
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" corrupted_files.append(row[\"audio\"][\"path\"])\n",
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"\n",
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