Update README.md

README.md

@@ -16,18 +16,28 @@ pipeline_tag: automatic-speech-recognition
 This model was trained by Shih-Lun Wu (slseanwu) using the chime4 recipe in [espnet](https://github.com/espnet/espnet/).
 
 ### Demo: How to use in ESPnet2
-```bash
-cd espnet
-pip install -e .
-cd egs2/chime4/asr1
+#!/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
 
-train_set=tr05_multi_noisy_si284 # tr05_multi_noisy (original training data) or tr05_multi_noisy_si284 (add si284 data)
-valid_set=dt05_multi_isolated_1ch_track
-test_sets="dt05_real_isolated_1ch_track dt05_simu_isolated_1ch_track et05_real_isolated_1ch_track et05_simu_isolated_1ch_track"
+train_set=train
+valid_set=dev
+test_sets="dev test1"
+
+asr_config=conf/train_asr_whisper_large_lora_finetune.yaml
+inference_config=conf/decode_asr_whisper_noctc_beam10.yaml
+
+lm_config=conf/train_lm_transformer.yaml
+use_lm=false
+use_wordlm=false
+
+# speed perturbation related
+# (train_set will be "${train_set}_sp" if speed_perturb_factors is specified)
+speed_perturb_factors="0.9 1.0 1.1"
 
-asr_tag=whisper_medium_finetune_lr1e-5_adamw_wd1e-2_3epochs
-asr_config=conf/tuning/train_asr_whisper_full.yaml
-inference_config=conf/decode_asr_whisper_noctc_greedy.yaml
 
 ./asr.sh \
 ./asr.sh \