speech-recognition

Russian speech technology links

小牛视频翻译 是一款支持本地视频翻译、字幕翻译和 YouTube 视频翻译下载的 AI 工具，集成自动语音识别与多语言翻译功能，助力创作者高效完成视频翻译，应用于视频本地化与视频出海场景。

Stream-Omni is a GPT-4o-like language-vision-speech chatbot that simultaneously supports interaction across various modality combinations.

very fast speech-to-text, diarization, streaming (even in CPU) with NVIDIA Parakeet in Rust

A live speech recognition using Facebooks wav2vec 2.0 model.

speech to text with self-supervised learning based on wav2vec 2.0 framework

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Fine-tune and evaluate Whisper models for Automatic Speech Recognition (ASR) on custom datasets or datasets from huggingface.

Free, open source voice dictation for macOS. On-device transcription with Apple's Speech framework. No cloud/no API keys/no account.

A lightweight Python package for Automatic Speech Recognition using ONNX models

A nearly-live implementation of OpenAI's Whisper, using sounddevice. Requires existing Whisper install.

A desktop application that transcribes audio from files, microphone input or YouTube videos with the option to translate the content and create subtitles.

Striving to create a great Application with full functions of learning languages by ChatGPT, TTS, STT and other awesome AI models, supports talking, speaking assessment, memorizing words with contexts, Listening test, so on.

Проект для распознавания речи на русском языке на основе pykaldi.

Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time

Open-source voice typing for Windows — a Wispr Flow / Superwhisper alternative. Press a shortcut, speak, and AI-polished text lands at your cursor. Local models, your own API keys, or a self-hosted backend.

Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字（PocketSphinx、百度 API、科大讯飞 API）和文字转语音（pyttsx3）

audio.cpp with a full-task WebUI - pure C++ audio-model inference engine powered by ggml. TTS, ASR/STT, VAD, voice conversion, speaker diarization, music generation. No Python dependency.

This AI Smart Speaker uses speech recognition, TTS (text-to-speech), and STT (speech-to-text) to enable voice and vision-driven conversations, with additional web search capabilities via OpenAI and Langchain agents.

Set of 📝 with 🔗 to help those building Voice AI agents 🎙️🤖