https://github.com/ajxv/rtstt

Real time speech to text transcription using OpenAi whisper
https://github.com/ajxv/rtstt

live-transcription openai openai-whisper python3 transcription whisper

Last synced: about 17 hours ago
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Real time speech to text transcription using OpenAi whisper

• Host: GitHub
• URL: https://github.com/ajxv/rtstt
• Owner: ajxv
• Created: 2024-11-04T10:47:34.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-06T17:59:01.000Z (about 2 months ago)
• Last Synced: 2024-11-12T01:17:10.618Z (about 1 month ago)
• Topics: live-transcription, openai, openai-whisper, python3, transcription, whisper
• Language: HTML
• Homepage:
• Size: 15.6 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Real Time Speech To Text (Using OpenAi Whisper)

## Requirements

- Python 3.1x

## Setting Up

- Install requirements using `pip install -r requirements.txt`

## Running the Application

- Run the flask app using `python3 app.py`

## Selecting the Appropriate Model

Whisper offers several models that balance speed and accuracy:

- `tiny`: Fastest but least accurate

- `base`: A balance between speed and accuracy

- `small`: More accurate, slower than base

- `medium`: Even more accurate, slower than small

- `large`: Most accurate but slowest

You can select a model by specifying it when loading the Whisper model. For example:

```python

self.model = whisper.load_model("medium")

```

## Demo

![sample](https://github.com/user-attachments/assets/90d45012-5f1d-4fc1-b72d-5a47c3eb4c63)

## To-Dos

- [ ] Improve accuracy of transcription

- [ ] Add support for multiple languages

- [ ] Optimize performance for low-latency environments

- [ ] Implement speaker recognition

- [ ] Webohook - Create separate sessions(?) for each connected client

## Contribution Guidelines

Contributions are welcome! Please follow these steps to contribute:

1. Fork the repository.

2. Create a new branch (`git checkout -b feature-branch`).

3. Make your changes.

4. Commit your changes (`git commit -m 'Add new feature'`).

5. Push to the branch (`git push origin feature-branch`).

6. Create a pull request.

## License

This project is licensed under the MIT License.