icefall/egs/librispeech/ASR/conformer_ctc/README.md

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.

Also, you need to install kaldifeat. Please refer to https://github.com/csukuangfj/kaldifeat for installation.

Once you have the above files ready and have kaldifeat installed, you can run:

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

and you will see the transcribed result.

If you want to transcribe multiple files at the same time, you can use:

./conformer_ctc/pretrained.py \
  --checkpoint /path/to/your/checkpoint.pt \
  --words-file /path/to/words.txt \
  --hlg /path/to/HLG.pt \
  /path/to/your/sound1.wav \
  /path/to/your/sound2.wav \
  /path/to/your/sound3.wav \