python/FunASR-XL.git

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			#!/usr/bin/env bash
			# Set bash to 'debug' mode, it will exit on :
			# -e 'error', -u 'undefined variable', -o ... 'error in pipeline', -x 'print commands',
			set -e
			set -u
			set -o pipefail

			ngpu=4
			device="0,1,2,3"

			stage=1
			stop_stage=4


			train_set=Train_Ali_far
			valid_set=Eval_Ali_far
			test_sets="Test_2023_Ali_far"
			asr_config=conf/train_asr_conformer.yaml
			sa_asr_config=conf/train_sa_asr_conformer.yaml
			inference_config=conf/decode_asr_rnn.yaml

			lm_config=conf/train_lm_transformer.yaml
			use_lm=false
			use_wordlm=false
			./asr_local_m2met_2023_infer.sh \
			--device ${device} \
			--ngpu ${ngpu} \
			--stage ${stage} \
			--stop_stage ${stop_stage} \
			--gpu_inference true \
			--njob_infer 4 \
			--asr_exp exp/asr_train_multispeaker_conformer_raw_zh_char_data_alimeeting \
			--sa_asr_exp exp/sa_asr_train_conformer_raw_zh_char_data_alimeeting \
			--asr_stats_dir exp/asr_stats_multispeaker_conformer_raw_zh_char_data_alimeeting \
			--lm_exp exp/lm_train_multispeaker_transformer_zh_char_data_alimeeting \
			--lm_stats_dir exp/lm_stats_multispeaker_zh_char_data_alimeeting \
			--lang zh \
			--audio_format wav \
			--feats_type raw \
			--token_type char \
			--use_lm ${use_lm} \
			--use_word_lm ${use_wordlm} \
			--lm_config "${lm_config}" \
			--asr_config "${asr_config}" \
			--sa_asr_config "${sa_asr_config}" \
			--inference_config "${inference_config}" \
			--train_set "${train_set}" \
			--valid_set "${valid_set}" \
			--test_sets "${test_sets}" \
			--lm_train_text "data/${train_set}/text" "$@"