icefall/egs/librispeech/ASR/conformer_ctc

How to use a pre-trained model to transcript a sound file

You need to prepare 4 files:

• a model checkpoint file, e.g., epoch-20.pt
• HLG.pt, the decoding graph
• words.txt, the word symbol table
• a sound file, whose sampling rate has to be 16 kHz Supported formats are those supported by torchaudio.load(), e.g., wav and flac.

Once you have the above files ready, you can run:

./conformer_ctc/pretrained.py \
  --checkpoint /path/to/your/checkpoint.pt \
  --words-file /path/to/words.txt \
  --hlg /path/to/HLG.pt \
  --sound-file /path/to/your/sound.wav

and you will see the transcribed result.