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46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
librispeech_datasets = {
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"train": {
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"clean": ["LibriSpeech/train-clean-100", "LibriSpeech/train-clean-360"],
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"other": ["LibriSpeech/train-other-500"]
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},
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"test": {
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"clean": ["LibriSpeech/test-clean"],
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"other": ["LibriSpeech/test-other"]
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},
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"dev": {
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"clean": ["LibriSpeech/dev-clean"],
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"other": ["LibriSpeech/dev-other"]
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},
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}
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libritts_datasets = {
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"train": {
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"clean": ["LibriTTS/train-clean-100", "LibriTTS/train-clean-360"],
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"other": ["LibriTTS/train-other-500"]
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},
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"test": {
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"clean": ["LibriTTS/test-clean"],
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"other": ["LibriTTS/test-other"]
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},
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"dev": {
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"clean": ["LibriTTS/dev-clean"],
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"other": ["LibriTTS/dev-other"]
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},
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}
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voxceleb_datasets = {
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"voxceleb1" : {
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"train": ["VoxCeleb1/wav"],
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"test": ["VoxCeleb1/test_wav"]
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},
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"voxceleb2" : {
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"train": ["VoxCeleb2/dev/aac"],
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"test": ["VoxCeleb2/test_wav"]
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}
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}
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other_datasets = [
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"LJSpeech-1.1",
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"VCTK-Corpus/wav48",
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]
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anglophone_nationalites = ["australia", "canada", "ireland", "uk", "usa"]
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