| export CUDA_VISIBLE_DEVICES=7 |
|
|
| ROOT=/data/zhangshaolei/StreamSpeech |
| DATA_ROOT=/data/zhangshaolei/datasets/cvss/cvss-c |
| PRETRAIN_ROOT=/data/zhangshaolei/pretrain_models |
| VOCODER_CKPT=$PRETRAIN_ROOT/unit-based_HiFi-GAN_vocoder/mHuBERT.layer11.km1000.en/g_00500000 |
| VOCODER_CFG=$PRETRAIN_ROOT/unit-based_HiFi-GAN_vocoder/mHuBERT.layer11.km1000.en/config.json |
|
|
| LANG=fr |
| DATA=${DATA_ROOT}/${LANG}-en/fbank2unit |
| SPLIT=test |
| BEAM=10 |
|
|
| file=/data/zhangshaolei/StreamSpeech_model/unity.${LANG}-en.pt |
|
|
| mkdir res |
| output_dir=res/unity.${LANG}-en |
| mkdir -p $output_dir |
|
|
| PYTHONPATH=$ROOT/fairseq fairseq-generate ${DATA} \ |
| --user-dir researches/translatotron \ |
| --config-yaml config_gcmvn.yaml --multitask-config-yaml config_unity.yaml \ |
| --task speech_to_speech_modified --target-is-code --target-code-size 1000 --vocoder code_hifigan \ |
| --path $file --gen-subset $SPLIT \ |
| --beam-mt $BEAM --beam 1 --max-len-a 1 \ |
| --max-tokens 10000 \ |
| --required-batch-size-multiple 1 \ |
| --results-path $output_dir > $output_dir/generate-$SPLIT.log 2>&1 |
|
|
| grep '^D-' $output_dir/generate-$SPLIT.log | sort -t'-' -k2,2n | cut -f2 > $output_dir/generate-$SPLIT.tgt |
|
|
| echo '################### Speech-to-text target text BLEU ###################' >> $output_dir/res.txt |
| sacrebleu $DATA/$SPLIT.txt -i $output_dir/generate-$SPLIT.tgt -w 3 >> $output_dir/res.txt |
|
|
| grep "^D\-" $output_dir/generate-$SPLIT.txt | \ |
| sed 's/^D-//ig' | sort -nk1 | cut -f3 \ |
| > $output_dir/generate-$SPLIT.unit |
|
|
| echo '################### Speech-to-unit target unit BLEU ###################' >> $output_dir/res.txt |
| sacrebleu $DATA/$SPLIT.unit -i $output_dir/generate-$SPLIT.unit -w 3 >> $output_dir/res.txt |
|
|
| python $ROOT/fairseq/examples/speech_to_speech/generate_waveform_from_code.py \ |
| --in-code-file $output_dir/generate-$SPLIT.unit \ |
| --vocoder $VOCODER_CKPT --vocoder-cfg $VOCODER_CFG \ |
| --results-path $output_dir/pred_wav --dur-prediction |
|
|
| cd $ROOT/asr_bleu |
| python compute_asr_bleu.py \ |
| --lang en \ |
| --audio_dirpath ../$output_dir/pred_wav \ |
| --reference_path $DATA/$SPLIT.txt \ |
| --reference_format txt > ../$output_dir/asr_bleu.log 2>&1 |
|
|
| cd .. |
|
|
| echo '################### Speech-to-speech target speech ASR-BLEU ###################' >> $output_dir/res.txt |
| tail -n 1 $output_dir/asr_bleu.log >> $output_dir/res.txt |
