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13 Commits

Author SHA1 Message Date
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
336283f872
New label smoothing (#109) 
* Modify label smoothing to match the one implemented in PyTorch.

* Enable CI for torch 1.10

* Fix CI errors.

* Fix CI installation errors.

* Fix CI installation errors.

* Minor fixes.

* Minor fixes.

* Minor fixes.

* Minor fixes.

* Minor fixes.

* Fix CI errors.
 2021-11-17 19:24:07 +08:00
Fangjun Kuang
21096e99d8
Update result for the librispeech recipe using vocab size 500 and att rate 0.8 (#113) 
* Update RESULTS using vocab size 500, att rate 0.8

* Update README.

* Refactoring.

Since FSAs in an Nbest object are linear in structure, we can
add the scores of a path to compute the total scores.

* Update documentation.

* Change default vocab size from 5000 to 500.
 2021-11-10 14:32:52 +08:00
Fangjun Kuang
f2387fe523
Fix a bug introduced while supporting torch script. (#79) 2021-10-14 20:09:38 +08:00
Fangjun Kuang
beb54ddb61
Support torch script. (#65) 
* WIP: Support torchscript.

* Minor fixes.

* Fix style issues.

* Add documentation about how to deploy a trained model.
 2021-10-12 14:55:05 +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
12a2fd023e
Add doc about installation and usage (#7) 
* Add readme.

* Add TOC.

* fix typos

* Minor fixes after review.
 2021-08-12 12:44:04 +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
acc63a9172 WIP: Add BPE training code. 2021-07-29 20:23:52 +08:00
Fangjun Kuang
bd69e4be32 Use attention decoder for rescoring. 2021-07-28 12:22:09 +08:00
Fangjun Kuang
4ccae509d3 WIP: Begin to add BPE decoding 2021-07-26 20:06:58 +08:00