websocket 2pass bugfix

游雁

2023-05-19 219c2482ab755fbd4e49dfbdee91bf1a8a4ec49a

 egs/librispeech_100h/conformer/run.sh

@@ -20,8 +20,8 @@
type=sound
scp=wav.scp
speed_perturb="0.9 1.0 1.1"
stage=3
stop_stage=4
stage=0
stop_stage=5

# feature configuration
feats_dim=80
@@ -53,9 +53,10 @@
asr_config=conf/train_asr_conformer.yaml
model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}"

inference_config=conf/decode_asr_transformer.yaml
#inference_config=conf/decode_asr_transformer_beam60_ctc0.3.yaml
inference_asr_model=valid.acc.ave_10best.pth
#inference_config=conf/decode_asr_transformer_ctc0.3_beam1.yaml
inference_config=conf/decode_asr_transformer_ctc0.3_beam5.yaml
#inference_config=conf/decode_asr_transformer_ctc0.3_beam20.yaml
inference_asr_model=valid.acc.ave_10best.pb

# you can set gpu num for decoding here
gpuid_list=$CUDA_VISIBLE_DEVICES  # set gpus for decoding, the same as training stage by default
@@ -111,10 +112,16 @@
    echo "<unk>" >> ${token_list}
fi

# Training Stage
# LM Training Stage
world_size=$gpu_num  # run on one machine
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
    echo "stage 3: Training"
    echo "stage 3: LM Training"
fi

# ASR Training Stage
world_size=$gpu_num  # run on one machine
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4; then
    echo "stage 4: ASR Training"
    mkdir -p ${exp_dir}/exp/${model_dir}
    mkdir -p ${exp_dir}/exp/${model_dir}/log
    INIT_FILE=${exp_dir}/exp/${model_dir}/ddp_init
@@ -157,8 +164,8 @@
fi

# Testing Stage
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
    echo "stage 4: Inference"
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
    echo "stage 5: Inference"
    for dset in ${test_sets}; do
        asr_exp=${exp_dir}/exp/${model_dir}
        inference_tag="$(basename "${inference_config}" .yaml)"