speech-recognition

StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.

Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

A voice control - voice commands - speech recognition and speech synthesis javascript library. Create your own siri,google now or cortana with Google Chrome within your website.

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment

A voice chat app

Voice-to-text with push-to-talk for Wayland compositors

A practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.

A private logbook with a staff of personal AI assistants. Agents read what you record and propose what to do next — you approve the changes. End-to-end encrypted sync between your own devices — servers only ever see ciphertext. Local AI optional.

The Self-Coding System for Your App — Alan AI SDK for Cordova

AI Vtuber for Streaming on Youtube/Twitch

💬📝 A small dictation app using OpenAI's Whisper speech recognition model.

The open-source iOS app that's making quality voice transcription more accessible on mobile devices.

:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

An editing tool that uses AI to transcribe, understand content and search for anything in your footage, integrated with ChatGPT and other AI models

Near-Realtime audio transcription using self-hosted Whisper and WebSocket in Python/JS

turnkey self-hosted offline transcription and diarization service with llm summary

Whisper.net. Speech to text made simple using Whisper Models

SGLang-Omni empowers high-performance serving for TTS, ASR, speech and omni models.

Optimized Whisper models for streaming and on-device use

基于PaddlePaddle实现端到端中文语音识别，从入门到实战，超简单的入门案例，超实用的企业项目。支持当前最流行的DeepSpeech2、Conformer、Squeezeformer模型