deepgeek/CosyVoice
2
0
Fork 0
mirror of https://github.com/FunAudioLLM/CosyVoice.git synced 2026-02-05 18:09:24 +08:00
Code Issues Packages Projects Releases Wiki Activity

update dpo

Browse Source
This commit is contained in:
lyuxiang.lx
2025-06-13 16:14:05 +08:00
parent cc234bd322
commit 63856565f3
23 changed files with 345 additions and 2024 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
tools/make_parquet_list.py
View File

@@ -34,7 +34,9 @@ def job(utt_list, parquet_file, utt2parquet_file, spk2parquet_file):
spk_list = [utt2spk[utt] for utt in utt_list]
uttembedding_list = [utt2embedding[utt] for utt in utt_list]
spkembedding_list = [spk2embedding[utt2spk[utt]] for utt in utt_list]
speech_token_list = [utt2speech_token[utt] for utt in utt_list]
speech_token_list = [utt2speech_token.get(utt, []) for utt in utt_list]
if args.dpo:
reject_speech_token_list = [utt2reject_speech_token[utt] for utt in utt_list]
# 保存到parquet,utt2parquet_file,spk2parquet_file
df = pd.DataFrame()
@@ -46,6 +48,8 @@ def job(utt_list, parquet_file, utt2parquet_file, spk2parquet_file):
df['utt_embedding'] = uttembedding_list
df['spk_embedding'] = spkembedding_list
df['speech_token'] = speech_token_list
if args.dpo:
df['reject_speech_token'] = reject_speech_token_list
df.to_parquet(parquet_file)
with open(utt2parquet_file, 'w') as f:
json.dump({k: parquet_file for k in utt_list}, f, ensure_ascii=False, indent=2)
@@ -68,6 +72,10 @@ if __name__ == "__main__":
type=str)
parser.add_argument('--des_dir',
type=str)
parser.add_argument('--dpo',
action='store_true',
default=False,
help='Use Direct Preference Optimization')
args = parser.parse_args()
utt2wav, utt2text, utt2spk = {}, {}, {}
@@ -86,6 +94,8 @@ if __name__ == "__main__":
utt2embedding = torch.load('{}/utt2embedding.pt'.format(args.src_dir))
spk2embedding = torch.load('{}/spk2embedding.pt'.format(args.src_dir))
utt2speech_token = torch.load('{}/utt2speech_token.pt'.format(args.src_dir))
if args.dpo:
utt2reject_speech_token = torch.load('{}_reject/utt2speech_token.pt'.format(args.src_dir))
utts = list(utt2wav.keys())
# Using process pool to speedup