WIP: Add doc about FST-based CTC forced alignment.

[csukuangfj]

It is based on CTC FORCED ALIGNMENT API TUTORIAL from torchaudio, but we are using an FST-based approach.

I can produce identical output with torchaudio using https://github.com/k2-fsa/kaldi-decoder.

I am refactoring the code and will prepare at least two colab notebooks.

[whaozl]

Hi, The align tool can make the word time stamp is accurate on the begin and end postion ?

[csukuangfj]

Hi, The align tool can make the word time stamp is accurate on the begin and end postion ?

It depends on what model you use.

You can have a look at https://pytorch.org/audio/main/tutorials/ctc_forced_alignment_api_tutorial.html We can produce identical results with torchaudio using the same model.

[lifeiteng]

@csukuangfj Will it be completed soon?

[csukuangfj]

@csukuangfj Will it be completed soon?

Yes. I am working on it now.

[lifeiteng]

@csukuangfj Has k2-based approach been forgot?

[csukuangfj]

No, it is TODO. Please use the first approach at present or you can add the second approach with k2 by yourself. All APIs you need are there. You only need to combine them.