https://github.com/j-ranasinghe/speech-to-text-webapp
A lightweight automatic speech recognition (ASR) and speech translation web application
https://github.com/j-ranasinghe/speech-to-text-webapp
asr lightweight speech-to-text webapp
Last synced: 11 days ago
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A lightweight automatic speech recognition (ASR) and speech translation web application
- Host: GitHub
- URL: https://github.com/j-ranasinghe/speech-to-text-webapp
- Owner: j-ranasinghe
- Created: 2024-03-13T03:54:27.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-19T13:05:34.000Z (about 2 years ago)
- Last Synced: 2026-06-14T05:33:55.274Z (11 days ago)
- Topics: asr, lightweight, speech-to-text, webapp
- Language: HTML
- Homepage:
- Size: 38.1 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Speech-to-Text Web App with whisper-small.en
This repository contains a simple yet effective automatic speech recognition (ASR) and speech translation web application built using Flask and leveraging Hugging Face's whisper-small.en model. The whisper-small.en model is a lightweight variant optimized for speech recognition tasks.
## Python Versions
The code in this repository was written and tested using Python 3.10.0
## Key Features
Speech Input: Record their voice directly through the web interface.
Real-Time Transcription: Utilizes the Distil-Whisper model to transcribe speech into text in real-time.
Web Interface: Provides an intuitive interface for seamless interaction with the application.
Easy Deployment: Flask's lightweight and flexible nature makes deploying this application to various platforms straightforward.