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icefall/egs/yesno/ASR
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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
..
local
update api for RaggedTensor (#45)
2021-09-14 16:39:56 +08:00
tdnn
Refactor decode.py to make it more readable and more modular. (#44)
2021-09-20 15:44:54 +08:00
prepare.sh
Add recipe for the yes_no dataset. (#16)
2021-08-23 11:36:29 +08:00
README.md
Add documentation about code style and creating new recipes. (#27)
2021-08-25 14:48:41 +08:00
shared
Add recipe for the yes_no dataset. (#16)
2021-08-23 11:36:29 +08:00

README.md

Yesno recipe

This is the simplest ASR recipe in icefall.

It can be run on CPU and takes less than 30 seconds to get the following WER:

[test_set] %WER 0.42% [1 / 240, 0 ins, 1 del, 0 sub ]

Please refer to https://icefall.readthedocs.io/en/latest/recipes/yesno.html for detailed instructions.