| 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 | |