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PaddleSpeech/examples/voxceleb
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xiongxinlei ed7113f320
change the vector output to numpy.array 		3 years ago
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README.md change the vector output to numpy.array 3 years ago

README.md

dataset info refer to VoxCeleb

sv0 - speaker verfication with softmax backend etc, all python code more info refer to the sv0/readme.txt

sv1 - dependence on kaldi, speaker verfication with plda/sc backend, more info refer to the sv1/readme.txt

VoxCeleb2 preparation

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. Please, follow these steps to prepare the dataset correctly:

  1. Download Voxceleb2. You can find download instructions here: http://www.robots.ox.ac.uk/~vgg/data/voxceleb/

  2. Convert .m4a to wav 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.

ffmpeg -y -i %s -ac 1 -vn -acodec pcm_s16le -ar 16000 %s

You can do the conversion using ffmpeg https://gist.github.com/seungwonpark/4f273739beef2691cd53b5c39629d830). This operation might take several hours and should be only once.

  1. 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)

voxceleb dataset summary

dataset vox1 - dev vox1 - test vox2 - dev vox2 - test
spks 1211 40 5994 118
utts 148642 4874 1092009 36273
time(h) 340.4 11.2 2360.2 79.9

trial summary

trial filename nums positive negative
VoxCeleb1 veri_test.txt 37720 18860 18860
VoxCeleb1(cleaned) veri_test2.txt 37611 18802 18809
VoxCeleb1-H list_test_hard.txt 552536 276270 276266
VoxCeleb1-H(cleaned) list_test_hard2.txt 550894 275488 275406
VoxCeleb1-E list_test_all.txt 581480 290743 290737
VoxCeleb1-E(cleaned) list_test_all2.txt 579818 289921 289897