WhisperLiveKit: Real-time Speech-to-Text with Speaker Identification

Overview

WhisperLiveKit is a cutting-edge, open-source Python project that offers real-time, fully local speech-to-text capabilities with speaker identification. It leverages state-of-the-art simultaneous speech research to provide intelligent buffering and incremental processing, ensuring accurate transcription even in real-time scenarios. This project stands out for its robust architecture that supports multiple concurrent users and reduces overhead with Voice Activity Detection.

Key Features

Real-time transcription directly to the browser
Ready-to-use backend+server and simple frontend
Simultaneous speech-to-text model with speaker identification
Supports multiple concurrent users
Voice Activity Detection to reduce overhead

Use Cases

Use case 1: Live transcription services for meetings or presentations, providing immediate written records.
Use case 2: Assisting individuals with hearing impairments by providing real-time transcriptions of spoken content.
Use case 3: Enhancing video conferencing tools with real-time captioning and speaker identification.

Advantages

Advantage 1: Utilizes leading research in simultaneous speech-to-text and speaker diarization for high accuracy.
Advantage 2: Fully local processing ensures privacy and reduces latency.
Advantage 3: Supports a wide range of languages, making it versatile for global applications.

Limitations / Considerations

Limitation 1: May require significant computational resources for real-time processing, especially with multiple users.
Limitation 2: The project's performance may be affected by background noise or varying audio quality.

Project 1: DeepSpeech - An open-source speech-to-text engine with a focus on privacy, but lacks the real-time capabilities and speaker identification features of WhisperLiveKit.
Project 2: Kaldi - A popular toolkit for speech recognition research, offering more flexibility but at the cost of being more complex to set up and use.
Project 3: Mozilla's Common Voice - A project focused on creating open-source voice datasets, which can be used in conjunction with WhisperLiveKit for training and improving speech recognition models.

Basic Information

GitHub: WhisperLiveKit
Stars: 8,428
License: Apache 2.0
Last Commit: 2025-11-13

📊 Project Information

Project Name: WhisperLiveKit
GitHub URL: https://github.com/QuentinFuxa/WhisperLiveKit
Programming Language: Python
⭐ Stars: 8,428
🍴 Forks: 795
📅 Created: 2024-12-19
🔄 Last Updated: 2025-11-13

🏷️ Project Topics

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🎮 Online Demos

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WhisperLiveKit

Project Description