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@@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. config: 06d9c1d4093817b45b9d4df7ab350eaf config: a4d4595bd4f85adbedc556dc23e6150a tags: 645f666f9bcd5a90fca523b33c5a78b7 docs/m2met2_cn/_build/html/_images/qrcode.pngdocs/m2met2_cn/images/qrcode.pngegs/alimeeting/sa-asr/asr_local.sh
@@ -1153,10 +1153,10 @@ mkdir -p ${sa_asr_exp}/log INIT_FILE=${sa_asr_exp}/ddp_init if [ ! -f "exp/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/sv.pb" ]; then if [ ! -f "exp/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/sv.pth" ]; then # download xvector extractor model file python local/download_xvector_model.py exp log "Successfully download the pretrained xvector extractor to exp/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/sv.pb" log "Successfully download the pretrained xvector extractor to exp/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/sv.pth" fi if [ -f $INIT_FILE ];then @@ -1195,8 +1195,8 @@ --init_param "${asr_exp}/valid.acc.ave.pb:decoder.decoders.3:decoder.decoder4.2" \ --init_param "${asr_exp}/valid.acc.ave.pb:decoder.decoders.4:decoder.decoder4.3" \ --init_param "${asr_exp}/valid.acc.ave.pb:decoder.decoders.5:decoder.decoder4.4" \ --init_param "exp/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/sv.pb:encoder:spk_encoder" \ --init_param "exp/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/sv.pb:decoder:spk_encoder:decoder.output_dense" \ --init_param "exp/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/sv.pth:encoder:spk_encoder" \ --init_param "exp/damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch/sv.pth:decoder:spk_encoder:decoder.output_dense" \ --valid_data_path_and_name_and_type "${_asr_valid_dir}/${_scp},speech,${_type}" \ --valid_data_path_and_name_and_type "${_asr_valid_dir}/text,text,text" \ --valid_data_path_and_name_and_type "${_asr_valid_dir}/oracle_profile_nopadding.scp,profile,npy" \ egs/alimeeting/sa-asr/conf/train_asr_conformer.yaml
@@ -4,6 +4,7 @@ n_fft: 400 win_length: 400 hop_length: 160 use_channel: 0 # encoder related encoder: conformer egs/alimeeting/sa-asr/conf/train_sa_asr_conformer.yaml
@@ -4,6 +4,7 @@ n_fft: 400 win_length: 400 hop_length: 160 use_channel: 0 # encoder related asr_encoder: conformer funasr/bin/asr_train.py
@@ -46,7 +46,8 @@ args = parse_args() # setup local gpu_id os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_id) if args.ngpu > 0: os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_id) # DDP settings if args.ngpu > 1: @@ -57,9 +58,9 @@ # re-compute batch size: when dataset type is small if args.dataset_type == "small": if args.batch_size is not None: if args.batch_size is not None and args.ngpu > 0: args.batch_size = args.batch_size * args.ngpu if args.batch_bins is not None: if args.batch_bins is not None and args.ngpu > 0: args.batch_bins = args.batch_bins * args.ngpu main(args=args)
