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https://github.com/FunAudioLLM/CosyVoice.git
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online feature
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@@ -24,27 +24,12 @@ if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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done
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fi
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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echo "Extract campplus speaker embedding, you will get spk2embedding.pt and utt2embedding.pt in data/$x dir"
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for x in train-clean-100 train-clean-360 train-other-500 dev-clean dev-other test-clean test-other; do
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tools/extract_embedding.py --dir data/$x \
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--onnx_path $pretrained_model_dir/campplus.onnx
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done
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fi
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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echo "Extract discrete speech token, you will get utt2speech_token.pt in data/$x dir"
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for x in train-clean-100 train-clean-360 train-other-500 dev-clean dev-other test-clean test-other; do
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tools/extract_speech_token.py --dir data/$x \
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--onnx_path $pretrained_model_dir/speech_tokenizer_v2.onnx
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done
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fi
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# NOTE embedding/token extraction is not necessary now as we support online feature extraction
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if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
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echo "Prepare required parquet format data, you should have prepared wav.scp/text/utt2spk/spk2utt/utt2embedding.pt/spk2embedding.pt/utt2speech_token.pt"
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for x in train-clean-100 train-clean-360 train-other-500 dev-clean dev-other test-clean test-other; do
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mkdir -p data/$x/parquet
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tools/make_parquet_list.py --num_utts_per_parquet 1000 \
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../../../tools/make_parquet_list.py --num_utts_per_parquet 1000 \
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--num_processes 10 \
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--src_dir data/$x \
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--des_dir data/$x/parquet
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@@ -69,12 +54,13 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
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for model in llm flow hifigan; do
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torchrun --nnodes=1 --nproc_per_node=$num_gpus \
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--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint="localhost:1234" \
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cosyvoice/bin/train.py \
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../../../cosyvoice/bin/train.py \
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--train_engine $train_engine \
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--config conf/cosyvoice2.yaml \
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--train_data data/train.data.list \
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--cv_data data/dev.data.list \
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--qwen_pretrain_path $pretrained_model_dir/CosyVoice-BlankEN \
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--onnx_path $pretrained_model_dir \
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--model $model \
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--checkpoint $pretrained_model_dir/$model.pt \
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--model_dir `pwd`/exp/cosyvoice2/$model/$train_engine \
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