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@ -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.
### Highlighted Performance
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.
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)
#### [LibriSpeech][librispeech]
### [LibriSpeech][librispeech]
Please see [RESULTS.md](https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/RESULTS.md)
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]
- [VCTK][vctk]
#### Supported Models
### Supported Models
- [VITS](https://arxiv.org/abs/2106.06103)