icefall

mirror of https://github.com/k2-fsa/icefall.git synced 2025-12-09 22:15:28 +00:00

History

Extract framewise alignment information using CTC decoding (#39 )

* Use new APIs with k2.RaggedTensor

* Fix style issues.

* Update the installation doc, saying it requires at least k2 v1.7

* Extract framewise alignment information using CTC decoding.

* Print environment information.

Print information about k2, lhotse, PyTorch, and icefall.

* Fix CI.

* Fix CI.

* Compute framewise alignment information of the LibriSpeech dataset.

* Update comments for the time to compute alignments of train-960.

* Preserve cut id in mix cut transformer.

* Minor fixes.

* Add doc about how to extract framewise alignments.

2021-10-18 14:24:33 +08:00

local

update api for RaggedTensor (#45 )

2021-09-14 16:39:56 +08:00

tdnn

Extract framewise alignment information using CTC decoding (#39 )

2021-10-18 14:24:33 +08:00

prepare.sh

Use LossRecord to record and print the loss for the training process (#62 )

2021-10-12 15:58:03 +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.