8 Commits

Author SHA1 Message Date
Fangjun Kuang
2f1e23cde1
Narrower and deeper conformer (#330)
* Copy files for editing.

* Add random combine from #229.

* Minor fixes.

* Pass model parameters from the command line.

* Fix warnings.

* Fix warnings.

* Update readme.

* Rename to avoid conflicts.

* Update results.

* Add CI for pruned_transducer_stateless5

* Typo fixes.

* Remove random combiner.

* Update decode.py and train.py to use periodically averaged models.

* Minor fixes.

* Revert to use random combiner.

* Update results.

* Minor fixes.
2022-05-23 14:39:11 +08:00
Fangjun Kuang
6f7860a0a6
Fix GitHub CI for decoding GigaSpeech dev/test datasets (#366) 2022-05-15 14:25:35 +08:00
Fangjun Kuang
f23dd43719
Update results for libri+giga multi dataset setup. (#363)
* Update results for libri+giga multi dataset setup.
2022-05-14 21:45:39 +08:00
Fangjun Kuang
2d7096dfc6
Decode gigaspeech in GitHub actions (#362)
* Add CI for gigaspeech.
2022-05-14 08:53:22 +08:00
Fangjun Kuang
aeb8986e35
Ignore padding frames during RNN-T decoding. (#358)
* Ignore padding frames during RNN-T decoding.

* Fix outdated decoding code.

* Minor fixes.
2022-05-13 07:39:14 +08:00
Fangjun Kuang
bc284e88e6
Run decode.py in GitHub actions. (#356) 2022-05-10 14:51:34 +08:00
Fangjun Kuang
ac84220de9
Modified conformer with multi datasets (#312)
* Copy files for editing.

* Use librispeech + gigaspeech with modified conformer.

* Support specifying number of workers for on-the-fly feature extraction.

* Feature extraction code for GigaSpeech.

* Combine XL splits lazily during training.

* Fix warnings in decoding.

* Add decoding code for GigaSpeech.

* Fix decoding the gigaspeech dataset.

We have to use the decoder/joiner networks for the GigaSpeech dataset.

* Disable speed perturbe for XL subset.

* Compute the Nbest oracle WER for RNN-T decoding.

* Minor fixes.

* Minor fixes.

* Add results.

* Update results.

* Update CI.

* Update results.

* Fix style issues.

* Update results.

* Fix style issues.
2022-04-29 15:40:30 +08:00
Fangjun Kuang
fce7f3cd9a
Support computing RNN-T loss with torchaudio (#316) 2022-04-19 18:47:13 +08:00