mirrors/icefall
1
0
Fork 0
mirror of https://github.com/k2-fsa/icefall.git synced 2025-09-05 15:14:18 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
jinzr 2024-01-23 16:01:39 +08:00
parent 2844bbf115
commit 16012547d2
1 changed files with 3 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
README.md
View File

@ -76,11 +76,9 @@ The [LibriSpeech][librispeech] recipe supports the most comprehensive set of mod
If you are willing to contribute to icefall, please refer to [contributing](https://icefall.readthedocs.io/en/latest/contributing/index.html) for more details. If you are willing to contribute to icefall, please refer to [contributing](https://icefall.readthedocs.io/en/latest/contributing/index.html) for more details.
### Highlighted Performance
We would like to highlight the performance of some of the recipes here. We would like to highlight the performance of some of the recipes here.
#### [yesno][yesno] ### [yesno][yesno]
This is the simplest ASR recipe in `icefall` and can be run on CPU. This is the simplest ASR recipe in `icefall` and can be run on CPU.
Training takes less than 30 seconds and gives you the following WER: Training takes less than 30 seconds and gives you the following WER:
@ -91,7 +89,7 @@ Training takes less than 30 seconds and gives you the following WER:
We provide a Colab notebook for this recipe: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1tIjjzaJc3IvGyKiMCDWO-TSnBgkcuN3B?usp=sharing) We provide a Colab notebook for this recipe: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1tIjjzaJc3IvGyKiMCDWO-TSnBgkcuN3B?usp=sharing)
#### [LibriSpeech][librispeech] ### [LibriSpeech][librispeech]
Please see [RESULTS.md](https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/RESULTS.md) Please see [RESULTS.md](https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/RESULTS.md)
for the **latest** results. for the **latest** results.
@ -334,7 +332,7 @@ We provide a Colab notebook to test the pre-trained model: [![Open In Colab](htt
- [LJSpeech][ljspeech] - [LJSpeech][ljspeech]
- [VCTK][vctk] - [VCTK][vctk]
#### Supported Models ### Supported Models
- [VITS](https://arxiv.org/abs/2106.06103) - [VITS](https://arxiv.org/abs/2106.06103)