aishell example

游雁

2024-02-19 25fbf7110b5fc66d592bd5e94624a0ddb60e50b8

 examples/aishell/paraformer/run.sh

@@ -50,6 +50,7 @@

if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
    echo "stage -1: Data Download"
    mkdir -p ${raw_data}
    local/download_and_untar.sh ${raw_data} ${data_url} data_aishell
    local/download_and_untar.sh ${raw_data} ${data_url} resource_aishell
fi
@@ -76,9 +77,8 @@

if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
    echo "stage 1: Feature and CMVN Generation"
#    utils/compute_cmvn.sh --fbankdir ${feats_dir}/data/${train_set} --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} --config_file "$config" --scale 1.0
    python ../../../funasr/bin/compute_audio_cmvn.py \
    --config-path "${workspace}" \
    --config-path "${workspace}/conf" \
    --config-name "${config}" \
    ++train_data_set_list="${feats_dir}/data/${train_set}/audio_datasets.jsonl" \
    ++cmvn_file="${feats_dir}/data/${train_set}/cmvn.json" \
@@ -109,15 +109,17 @@
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
  echo "stage 4: ASR Training"

  mkdir -p ${exp_dir}/exp/${model_dir}
  log_file="${exp_dir}/exp/${model_dir}/train.log.txt"
  echo "log_file: ${log_file}"
  torchrun \
  --nnodes 1 \
  --nproc_per_node ${gpu_num} \
  ../../../funasr/bin/train.py \
  --config-path "${workspace}" \
  --config-path "${workspace}/conf" \
  --config-name "${config}" \
  ++train_data_set_list="${feats_dir}/data/${train_set}/audio_datasets.jsonl" \
  ++valid_data_set_list="${feats_dir}/data/${valid_set}/audio_datasets.jsonl" \
  ++tokenizer_conf.token_list="${token_list}" \
  ++frontend_conf.cmvn_file="${feats_dir}/data/${train_set}/am.mvn" \
  ++output_dir="${exp_dir}/exp/${model_dir}" &> ${log_file}