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Update advanced_training_notebook.ipynb
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@@ -136,7 +136,7 @@
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"id": "YJRG4Qvo9nXG"
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},
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"outputs": [],
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"source": [
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"source": [
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"# Downloads audio data for augmentation. This can be slow!\n",
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"# Borrowed from openWakeWord's automatic_model_training.ipynb, accessed March 4, 2024\n",
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"#\n",
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@@ -205,8 +205,8 @@
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" audioset_dataset = audioset_dataset.cast_column(\"audio\", Audio(sampling_rate=16000))\n",
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"\n",
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" corrupted_files = []\n",
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" print(\"Converting Audioset files to 16kHz WAV...\")\n",
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"\n",
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" print(\"Converting Audioset files to 16kHz WAV...\")\n",
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" for row in tqdm(audioset_dataset, desc=\"Processing Audioset files\"):\n",
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" try:\n",
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" # Define output file name and path\n",
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@@ -215,6 +215,8 @@
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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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" except Exception as e:\n",
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