Add InterCTC to E-Branchformer encoder, and the ability to save InterCTC inference output to files#5084
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mergify[bot] merged 5 commits intoespnet:masterfrom Apr 7, 2023
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…ate CTC predictions to file during ASR inference
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Thanks! |
pyf98
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Apr 6, 2023
pyf98
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Apr 6, 2023
| token_list = self.beam_search.token_list | ||
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| for layer_idx, encoder_out in intermediate_outs: | ||
| y = self.asr_model.ctc.argmax(encoder_out)[0] # batch_size = 1 |
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The intermediate CTC only supports greedy decoding? I think it's fine.
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Yes. I think greedy decoding can probably cover most use cases
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I think it is good as long as this new feature does not affect the default behavior without interCTC. |
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## master #5084 +/- ##
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- Coverage 75.88% 75.86% -0.03%
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Thanks a lot! |
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Add InterCTC with optional self-conditioning to E-Branchformer encoder
This was originally written by @wanchichen.
The implementation is nearly the same as InterCTC in
TransformerEncoderandConformerEncoder.Add the ability to write predictions of InterCTC layer(s) to file during inference
The output is saved at
path/to/asr_decode_dir/test_set/logdir/output.*/1best_recog/encoder_interctc_layer<layer_idx>.txt.<layer_idx>corresponds to the indices set in model config file.For example, if the config contains this line:
interctc_layer_idx: [6,12], then there will two files corresponding the output of the 6th and the 12th encoder layer:encoder_interctc_layer6.txtandencoder_interctc_layer12.txt.Misc
The code in this PR was used in many of my Aphasia speech detection experiments and produced good results. I also added more tests to make sure ASR without InterCTC still works.
@sw005320 I mentioned there was a bug I encountered in my experiments in our last meeting, but looks like it has already been patched.