Simultaneous speech-to-text models

A nearly-live implementation of OpenAI's Whisper.

WhisperFusion builds upon the capabilities of WhisperLive and WhisperSpeech to provide a seamless conversations with an AI.

Whisper系列のPEFTと、PEFT済のモデルを使ったストリーミング書き起こしを実装するためのリポジトリです。

Frontend for realtime transcription using WhisperLive

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Lightweight Python client for WhisperLive — fewer dependencies, optimized for client-only use and easy integration.

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Adds near real-time capability to OpenAI's Whisper, tailored for streaming

whisperlivekit implemented in mlx

🎙️ WhisperLive: Real-time audio transcription powered by OpenAI's Whisper model. Convert live speech to text with high accuracy, supporting multiple languages and real-time processing. Perfect for accessibility, content creation, and live captioning.

WhipserLive with gstreamer

Fork from https://github.com/collabora/WhisperLive

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Speech-to-text typing using WhisperLive and ydotool for Linux/KDE

🎤 Enhance speech-to-text with ultra-low-latency processing and smart GPU management for efficient, self-hosted solutions.

Real-time audio transcription and translation client for WhisperLive. Streams live audio via WebSocket with optional recording.

Ultra-low-latency speech-to-text with intelligent GPU management - Enhanced version with lazy loading, auto resource release, and modern multi-language UI

WhisperLiveKit Speech-to-Text microservice container for RunPod deployment with RTX 4090 GPU support

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Real-time & local speech-to-text, translation, and speaker diarization. With server & web UI.

Combine deep-translator and WhisperLive for real-time translation of streaming media and external audio into Chinese.

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Live transcription powered by Whisper models

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