8 Commits

Author SHA1 Message Date
LIyong.Guo
923b60a7c6
padding zeros (#591) 2022-09-28 21:20:33 +08:00
Jun Wang
d792bdc9bc
fix typo (#445) 2022-06-25 11:00:53 +08:00
Wei Kang
a183d5bfd7
Remove batchnorm (#147)
* Remove batch normalization

* Minor fixes

* Fix typo

* Fix comments

* Add assertion for use_feat_batchnorm
2021-12-14 08:20:03 +08:00
Fangjun Kuang
a80e58e15d
Refactor decode.py to make it more readable and more modular. (#44)
* Refactor decode.py to make it more readable and more modular.

* Fix an error.

Nbest.fsa should always have token IDs as labels and
word IDs as aux_labels.

* Add nbest decoding.

* Compute edit distance with k2.

* Refactor nbest-oracle.

* Add rescore with nbest lists.

* Add whole-lattice rescoring.

* Add rescoring with attention decoder.

* Refactoring.

* Fixes after refactoring.

* Fix a typo.

* Minor fixes.

* Replace [] with () for shapes.

* Use k2 v1.9

* Use Levenshtein graphs/alignment from k2 v1.9

* [doc] Require k2 >= v1.9

* Minor fixes.
2021-09-20 15:44:54 +08:00
Wei Kang
24656e9749
Update docs and remove unnecessary arguments (#42)
* Fix typo in docs

* Update docs and remove unnecessary arguments

* Fix code style
2021-09-13 18:28:57 +08:00
pkufool
19c4214958
Fix code style and add copyright. (#18)
* Fix style and add copyright

* Minor fix

* Remove duplicate lines

* Reformat conformer.py by black

* Reformat code style with black.

* Fix github workflows

* Fix lhotse installation

* Install icefall requirements

* Update k2 version, remove lhotse from test workflow
2021-08-23 10:43:59 +08:00
Fangjun Kuang
5a0b9bcb23
Refactoring (#4)
* Fix an error in TDNN-LSTM training.

* WIP: Refactoring

* Refactor transformer.py

* Remove unused code.

* Minor fixes.
2021-08-04 14:53:02 +08:00
Fangjun Kuang
4ccae509d3 WIP: Begin to add BPE decoding 2021-07-26 20:06:58 +08:00