Huggingface spaces

We have integrated the server framework sherpa with Huggingface spaces so that you can try pre-trained models from within your browser without the need to download or install anything.

All you need is a browser, which can be run on Windows, macOS, Linux, or even on your iPad and your phone.

Start your browser and visit the following address:

https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition

and you will see a page like the following screenshot:

You can:

1. Select a language for recognition. Currently, we provide pre-trained models from icefall for the following languages: Chinese, English, and Chinese+English.

2. After selecting the target language, you can select a pre-trained model corresponding to the language.

3. Select the decoding method. Currently, it provides greedy search and modified_beam_search.

4. If you selected modified_beam_search, you can choose the number of active paths during the search.

5. Either upload a file or record your speech for recognition.

6. Click the button Submit for recognition.

7. Wait for a moment and you will get the recognition results.

The following screenshot shows an example when selecting Chinese+English:

In the bottom part of the page, you can find a table of examples. You can click one of them and then click Submit for recognition.

YouTube Video

We provide the following YouTube video demonstrating how to use https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition.

Note

To get the latest news of next-gen Kaldi, please subscribe the following YouTube channel by Nadira Povey:

https://www.youtube.com/channel/UC_VaumpkmINz1pNkFXAN9mw