Real-Time Live Speech-to-Text | Streaming ASR Gradio App with Hugging Face Tutorial

In this Applied NLP Tutorial, We'll learn how to build a Real-Time Automatic Speech Recognition powered by Facebooks Wav2Vec2 Deep Learning Model.

We'll learn to use Hugging Face Transformers Pipeline for Audio (Speech) to Text and Gradio for the Python Web app for live audio transcription.

Related NLP Tutorials -

[seankay]

வணக்கம் நண்பா, நான் இரண்டு நாட்களாக உங்கள் NLP காணோளிகளை கண்டு வருகிறேன். மிகவும் நன்றாக உள்ளது. I am recently get in to this NLP domain. your tutorials are awesome.

[danielmoore]

Great video! Which model do you suggest for translating Spanish audio to English text?

[actionmoviecabal]

Awesome tutorial.

Please How can i create my own language translation for my local language?

[halkkoi]

Please make videos on pyecharts in Jupiter notebook to create Dashboards since there are a few videos on that.

[taarinidhulipala]

How can we improve the accuracy of transcription?

[mwd]

Strange to "return state, state". Why twice?

[cahyawirawan]

Nice video, however, the performance (WER) of the real time asr using this gradio code is disappointing

[fahieram]

Can I train my own data with that model?

[oo_anonymous]

gr.inputs.Audio
not working ?? what to do please i am stuck

[PressF]

why its saying error 404 why? i run your code only that button is not showing off record

[ahmadjamil]

Respected sir it's working after recording the app it's working real-time. kindly provide a solution

[bhuvneshsaini]

Hi, its not working as yours, every time i need to stop the recording only then it transcribe

[ahmadchaudhary]

can we run this app on console without gradio on real time

[sibadattasasmal]

can the same be implementated in streamlit