This is Mozilla deepspeech server implemented in django. One can record sound in browser or upload compatible wav file and submit it to get corresponding text. It supports both HTTP/HTTPS and web sockets(ws).
Note: For good results using websockets, deepspeech server should have GPU for higher inference rate and SSD is better as it promotes fast disk I/O.

First of all, thanks to mozilla for such a awesome project. Speech to text is revolutionary technology that has huge scope in future and these type of open source efforts will definitely help nurture this tech. I have used wav-encoder to encode recorded sound in wav format and resampler to get 16000 Hz sample rate. Got some of my inspiration from deepspeech-server.

Download or clone this project. This project uses python3. To run this project you need to first install deepspeech. Check out deepspeech's README.md for details on how to install deepspeech on your machine.

Once deepspeech is installed, then run following command to install required dependencies of django-deepspeech-server:

pip3 install -r path/to/django-deepspeech-server/requirements.txt

Enter path for your model, alphabet, lm and trie in speech-server-main/config/config.json file. Also make change to audiofiledir key in same config.json file, to match some valid path on your system. You can also limit audio length by setting audiofilelength to some time in seconds.

Go to directory where manage.py is located and start server:

python3 manage.py runserver

Go to your browser and browse to http://127.0.0.1:8000/dsserver. Alternatively, you can use use https server, using below command:

python3 manage.py runsslserver

Now you can access website over https (https://127.0.0.1:8000).

• Support for web sockets.
• Input file validation.
• Real time inference.
• Provide Google speech API like response, so that one only has to change websocket address.

MIT(see LICENSE)