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