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Support computing nbest oracle WER. #10
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401c1c5
Support computing nbest oracle WER.
csukuangfj 38d0604
Add scale to all nbest based decoding/rescoring methods.
csukuangfj 0fa4875
Add script to run pretrained models.
csukuangfj f731996
Use torchaudio to extract features.
csukuangfj a73d3ed
Support decoding multiple files at the same time.
csukuangfj eae1674
Support decoding with LM rescoring and attention-decoder rescoring.
csukuangfj fb1d284
Minor fixes.
csukuangfj f841581
Merge remote-tracking branch 'dan/master' into nbest-oracle
csukuangfj 3dadffd
Replace scale with lattice-score-scale.
csukuangfj 60211ce
Merge remote-tracking branch 'dan/master' into nbest-oracle
csukuangfj acefc70
Add usage example with a provided pretrained model.
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Replacing torchaudio.compliance.kaldi with kaldifeat
since it is easier to extract features for multiple sound
files at the same time.
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Nice. I still have adding kaldifeat to Lhotse on my radar. I might remove all other kaldi-related feature extractors at the same time. But I think I won’t be able to do it before the tutorial.