DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

The official repository of the Eesen project

🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

Speech-to-text, text-to-speech, and speaker recongition using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift

Welcome to the Microsoft Voice Assistant samples repository! Here you will find samples to help you get started building client application for your bot or Custom Command service. You will also be able to easily deploy a working Custom Command based Voice Assistant to your own Azure subscription

This plugin integrates Azure Speech Cognitive Services in Unreal Engine.

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

Whisper Dart is a cross platform library for dart and flutter that allows converting audio to text / speech to text / inference from Open AI models

Server framework for Kaldi ASR Toolkit

OBS plugin for local speech recognition and captioning using AI

Speech Note Linux app. Note taking, reading and translating with offline Speech to Text, Text to Speech and Machine translation.

A speech recognition plugin for Unreal Engine 5. This is essentially a port of Pocketsphinx, to be used within an Unreal Engine project.

Continuous Dictation Speech Recognition and Speech Synthesis in Win32

CleanStream is an OBS plugin that uses AI to clean live audio streams from unwanted words and utterances

silero-vad + whisper.cpp (speech-to-text) for ROS 2

cmake based kaldi + vosk + microphone speech recognition example

Multiplatform offline speech recognizer

Rust wrapper for microsoft speech recognition

OLAMI API Quickstart C++ Samples