mirrors/icefall
1
0
Fork 0
mirror of https://github.com/k2-fsa/icefall.git synced 2025-08-09 01:52:41 +00:00
Code Issues Packages Projects Releases Wiki Activity

Add links to sherpa. (#417)

Browse Source 
* Add links to sherpa.
This commit is contained in:
Fangjun Kuang 2022-06-10 12:19:18 +08:00 committed by GitHub
parent bfeab319c9
commit 9f6c748b30
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 10 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
README.md
View File

@ -2,6 +2,14 @@
<img src="https://raw.githubusercontent.com/k2-fsa/icefall/master/docs/source/_static/logo.png" width=168> <img src="https://raw.githubusercontent.com/k2-fsa/icefall/master/docs/source/_static/logo.png" width=168>
</div> </div>
## Introduction
icefall contains ASR recipes for various datasets
using <https://github.com/k2-fsa/k2>.
You can use <https://github.com/k2-fsa/sherpa> to deploy models
trained with icefall.
## Installation ## Installation
Please refer to <https://icefall.readthedocs.io/en/latest/installation/index.html> Please refer to <https://icefall.readthedocs.io/en/latest/installation/index.html>

2
egs/librispeech/ASR/RESULTS.md
View File

@ -9,6 +9,8 @@ Use <https://github.com/k2-fsa/icefall/pull/390>.
Use [Emformer](https://arxiv.org/abs/2010.10759) from [torchaudio](https://github.com/pytorch/audio) Use [Emformer](https://arxiv.org/abs/2010.10759) from [torchaudio](https://github.com/pytorch/audio)
for streaming ASR. The Emformer model is imported from torchaudio without modifications. for streaming ASR. The Emformer model is imported from torchaudio without modifications.
You can use <https://github.com/k2-fsa/sherpa> to deploy it.
| | test-clean | test-other | comment | | | test-clean | test-other | comment |
|-------------------------------------|------------|------------|----------------------------------------| |-------------------------------------|------------|------------|----------------------------------------|
| greedy search (max sym per frame 1) | 4.28 | 11.42 | --epoch 39 --avg 6 --max-duration 600 | | greedy search (max sym per frame 1) | 4.28 | 11.42 | --epoch 39 --avg 6 --max-duration 600 |