PaddleSpeech/examples/voxceleb

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.

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)

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