Speech Note Linux app. Note taking, reading and translating with offline Speech to Text, Text to Speech and Machine translation.
- asr
- sailfishos
- stt
- tts
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Speech Note Linux app. Note taking, reading and translating with offline Speech to Text, Text to Speech and Machine translation.
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
Android Input Method Editor (IME) based on Whisper
:speech_balloon: /so.nus/ STT (speech to text) for Node with offline hotword detection
Fast, free voice assistant for your Mac. No API key: runs on your Claude Pro or Max plan. Sends background agents for big jobs, remembers you and learns your shortcuts. Hold ⌃⌥Space and talk.
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
Speech synthesis, speech recognition and voice activity detection for voice conversation, in C++ on ggml: Qwen3-TTS, Irodori-TTS, Qwen3-ASR, ReazonSpeech, parakeet and Silero VAD on Metal, Vulkan and the CPU, with an OpenAI-compatible server and live transcription.
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
Whistle speech-to-text running fully on an ESP32-S3: hold a button, say a colour in one of 7 languages, the LED does it. No network.
Free offline AI voice studio for Windows — text-to-speech with cloned and built-in voices, and speech recognition with speakers. Russian done right. 100% local, one native .exe, zero Python.
A tool for automatic phoneme transcription
Python library for handling audio datasets.
The repository host gives no description.
Examples of Tensorflow Lite on Android
Capacitor plugin for speech recognition.
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
Open-source real-time Voice AI infrastructure in Go. Stream audio via WebRTC or WebSocket, connect STT → LLM → TTS pipelines, and build scalable voice agents and conversational AI applications.