Easily create Piper text-to-speech models in any voice. Make a text-to-speech model with your own voice recordings, or use thousands of RVC voices. Works offline on a Raspberry pi. Rapidly record custom datasets for any metadata.csv file and listen to your model as it is training.

Converts ebooks into audiobooks with piper-tts

Private, offline AI Text-to-Speech for Android with Kokoro, KittenTTS, Pocket-tts and Piper models.

🎙️ VoxSherpa TTS Offline Neural Text-to-Speech Engine for Android ⚡ Sherpa-ONNX powered 🔊 Natural voice synthesis 📱 Fully offline processing 🚀 No cloud • No limits

Wyoming Piper docker container with GPU support for Home-Assistant

Fast, in-process text to speech for Java

go-speech 基于 Golang + ONNX 构建的轻量语音库，支持 TTS（文本转语音）与 ASR（语音转文字）。已集成 MeloTTS、Piper、达摩院 Paraformer 架构模型、Whisper 模型。

Open source Speechify alternative. Read PDFs and EPUBs with local models.

The original Piper, now on iOS and macOS

This project combines embedded system and AI inference to create an end-to-end conversational experience.

Real-time voice translator for video calls. Speak your language on Google Meet, Zoom, or any call app — the other person hears translated speech instantly. Speech-to-speech translation with Deepgram STT, Groq LLM, and Piper TTS. 29 languages, local neural TTS, call history with AI summaries. Elixir + Rust + Python. macOS.

text to speech for vim using piper

Conversational AI, local, low-latency voice assistant for Raspberry Pi 5 with LED, gesture control, and streaming LLM replies.

A simple, hands-free Python voice assistant that runs 100% locally. This script uses openwakeword for wakeword detection, webrtcvad for silence detection, OpenAI's Whisper for transcription, and Ollama for generative AI responses.

Voice models for Piper TTS trained using TextyMcSpeechy

Automatic video translator and dubber using Whisper, XTTS v2 for voice cloning, and Ollama for local LLM translation. Supports 100+ languages.

(wip) python command-line Text-to-Speech (TTS) tool esp. for German, leveraging numerous endpoints like orpheus, piper, outetts, kokoro, csm, edge, coqui, kartoffelbox, etc

A voice assistant with local LLM as a backend

Offline-first TTS models for African languages

Train custom wake word models with openWakeWord. A granular 13-step pipeline with compatibility patches for torchaudio 2.10+, Piper TTS, and speechbrain. Generates tiny ONNX models (~200 KB) for real-time keyword detection — like building your own "Hey Siri" trigger. WSL2/Linux + CUDA required.