speech-recognition

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Your faithful, impartial partner for audio evaluation — know yourself, know your rivals. 真实评测，知己知彼。A unified benchmark framework for ASR/TTS/Audio Codec/audio LLM evaluation

Ultra fast and portable Parakeet implementation for on-device inference in C++ using Axiom with MPS+Unified Memory

Allows you to have an engaging and safely emotive spoken / CLI conversation with the AI ChatGPT / GPT-4 while giving you the option to let it remember things discussed.

Cross-platform, real-time, offline speech recognition plugin for Unreal Engine. Based on Whisper OpenAI technology, whisper.cpp.

ARIA - AI Realtime Intelligent Audio | Universal real-time AI subtitles for Windows

The Naomi Project is an open source, technology agnostic platform for developing always-on, voice-controlled applications!

Voice assistant for Visual Studio Code.

Private voice keyboard, agent, AI chat, images, webcam, recordings, voice control with >= 4 GiB of VRAM.

Snap any video URL or audio file into plaintext. No GPU. No cloud. One command.

Working online speech recognition based on RNN Transducer. ( Trained model release available in release )

An Android app that offers speech-to-text user interfaces to other apps

T-one is a high-performance streaming ASR pipeline for Russian, specialized for the telephony domain.

Official JavaScript SDK for Deepgram.

Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021) and WavLM (2022) pretrained on a corpus of English speech that we will use in various ways to perform phoneme recognition for different languages with a network trained with Connectionist Temporal Classification (CTC) algorithm.

🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

🔊 Create labeled datasets, enhance audio quality, identify speakers, support diverse dataset types. 🎧👥📊 Advanced audio processing.

System audio capture + multi-provider ASR + local-first AI review workspace. Floating live captions, 12 ASR backends, 60+ languages, AI summary/chat/mindmap, Open API, MCP server, and Agent Skill.

Machine Learning Training Utilities (for TensorFlow and PyTorch)

Local-first speech-to-text: no cloud, no telemetry, fail-closed by design. One CLI, seven model families, signed model catalog, OpenAI-compatible local API.