| Huggingface spaces |
| ================== |
|
|
| We have integrated the server framework |
| `sherpa <http://github.com/k2-fsa/sherpa>`_ |
| with `Huggingface spaces <https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition>`_ |
| 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: |
|
|
| .. image:: ./pic/hugging-face-sherpa.png |
| :alt: screenshot of `<https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition>`_ |
| :target: https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition |
|
|
| 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``: |
|
|
| .. image:: ./pic/hugging-face-sherpa-3.png |
| :alt: screenshot of `<https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition>`_ |
| :target: https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition |
|
|
|
|
| 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``. |
|
|
| .. image:: ./pic/hugging-face-sherpa-2.png |
| :alt: screenshot of `<https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition>`_ |
| :target: https://huggingface.co/spaces/k2-fsa/automatic-speech-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 <https://github.com/k2-fsa>`_, please subscribe |
| the following YouTube channel by `Nadira Povey <https://www.youtube.com/channel/UC_VaumpkmINz1pNkFXAN9mw>`_: |
|
|
| `<https://www.youtube.com/channel/UC_VaumpkmINz1pNkFXAN9mw>`_ |
|
|
| .. youtube:: ElN3r9dkKE4 |
|
|
