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57 lines
2.0 KiB
57 lines
2.0 KiB
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dataset info refer to [VoxCeleb](https://www.robots.ox.ac.uk/~vgg/data/voxceleb/index.html#about)
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sv0 - speaker verfication with softmax backend etc, all python code
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more info refer to the sv0/readme.txt
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sv1 - dependence on kaldi, speaker verfication with plda/sc backend,
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more info refer to the sv1/readme.txt
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## VoxCeleb2 preparation
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VoxCeleb2 audio files are released in m4a format. All the VoxCeleb2 m4a audio files must be converted in wav files before feeding them in PaddleSpeech.
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Please, follow these steps to prepare the dataset correctly:
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1. Download Voxceleb2.
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You can find download instructions here: http://www.robots.ox.ac.uk/~vgg/data/voxceleb/
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2. Convert .m4a to wav
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VoxCeleb2 stores files with the m4a audio format. To use them in PaddleSpeech, you have to convert all the m4a audio files into wav files.
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``` shell
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ffmpeg -y -i %s -ac 1 -vn -acodec pcm_s16le -ar 16000 %s
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```
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You can do the conversion using ffmpeg https://gist.github.com/seungwonpark/4f273739beef2691cd53b5c39629d830). This operation might take several hours and should be only once.
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3. Put all the wav files in a folder called `wav`. You should have something like `voxceleb2/wav/id*/*.wav` (e.g, `voxceleb2/wav/id00012/21Uxsk56VDQ/00001.wav`)
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## voxceleb dataset summary
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|dataset | vox1 - dev | vox1 - test |vox2 - dev| vox2 - test|
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|---------|-----------|------------|-----------|----------|
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|spks | 1211 |40 | 5994 | 118|
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|utts | 148642 | 4874 | 1092009 |36273|
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| time(h) | 340.4 | 11.2 | 2360.2 |79.9 |
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## trial summary
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| trial | filename | nums | positive | negative |
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|--------|-----------|--------|-------|------|
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| VoxCeleb1 | veri_test.txt | 37720 | 18860 | 18860 |
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| VoxCeleb1(cleaned) | veri_test2.txt | 37611 | 18802 | 18809 |
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| VoxCeleb1-H | list_test_hard.txt | 552536 | 276270 | 276266 |
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|VoxCeleb1-H(cleaned) |list_test_hard2.txt | 550894 | 275488 | 275406 |
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|VoxCeleb1-E | list_test_all.txt | 581480 | 290743 | 290737 |
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|VoxCeleb1-E(cleaned) | list_test_all2.txt |579818 |289921 |289897 |
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