speech-recognition

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

Controllable Transcription. Verbatim ( every, filler, pause, stutter, vocal sound) , or intended ( what the speaker meant to say, optimized for readability) with word-level timestamps.

Whisper command line client compatible with original OpenAI client based on CTranslate2.

Personal Assistant built using python libraries. It does almost anything which includes sending emails, Optical Text Recognition, Dynamic News Reporting at any time with API integration, Todo list generator, Opens any website with just a voice command, Plays Music, Wikipedia searching, Dictionary with Intelligent Sensing i.e. auto spell checking, Weather Reporting i.e. temp, wind speed, humidity, YouTube searching, Google Map searching, Youtube Downloading, etc.

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

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.

WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries

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

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

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.

AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML

Ирина - русский голосовой ассистент для работы оффлайн. Поддерживает скиллы через плагины.

Tools for handling multimodal data in machine learning projects.

[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

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

SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.

AI Vtuber for Streaming on Youtube/Twitch

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

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

Real-time full-duplex speech recognition server, based on the Kaldi toolkit and the GStreamer framwork.

Offline speech recognition for Android with Vosk library.

A Python wrapper for Kaldi

: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

Speech-to-text server framework with next-gen Kaldi

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