[Question] CTC-ASSISTED LLM-BASED CONTEXTUAL ASR

[hjjjackie]

Hi, Thank you for sharing the codes. I am wondering how to prepare the following files in contextual_asr_config.py?

infer_file: str = "/nfs/yangguanrou.ygr/data/fbai-speech/is21_deep_bias/my_ref/test-clean.biasing_100.tsv"
ctc_file: str = "/nfs/yangguanrou.ygr/data/librispeech_my_infer/wavlm_large_libri_test_other_char.txt"
filter_type: str = "char"
phn_to_name_dict: str = "/nfs/yangguanrou.ygr/data/librispeech_my_infer/wavlm_ft_libri960_${ref_split}_phn.json"

[yanghaha0908]

1. For infer_file, get it directly from https://github.com/facebookresearch/fbai-speech/blob/main/is21_deep_bias/ref/test-clean.biasing_100.tsv, I just changed the order to match the audio order.
2. For ctc_file, it's the viterbi decode results of our CTC Fine-tuned WavLM-Large checkpoint. For your convenience, I've uploaded them, the link is in README.
3. Just ignore phn_to_name_dict, it's irrelevant, I'll delete it and update contextual_asr_config.py.

Refer to #181