90 results for “topic:piper-tts”
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
Wyoming Piper docker container with GPU support for Home-Assistant
Fast, in-process text to speech for Java
Private, offline AI Text-to-Speech for Android with Kokoro, KittenTTS, Pocket-tts and Piper models.
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.
This project combines embedded system and AI inference to create an end-to-end conversational experience.
The original Piper, now on iOS and 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.
Voice models for Piper TTS trained using TextyMcSpeechy
A voice assistant with local LLM as a backend
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.
Offline-first TTS models for African 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
piper Text-to-Speech for ROS 2
🔊 PiperGen: Pretrain Piper TTS with OpenAI voices! Capture, convert, and fine-tune models for rich, natural speech synthesis. 🗣✨
Quick integration of Piper TTS (super lightweight, high-quality model) with LiveKit
PyPiperTTS is a Python library that provides a simple and intuitive interface to the Piper text-to-speech system.
Pure C wrapper library to use Piper TTS with Linux and Windows as simple as possible.
J.A.R.V.I.S. — Local AI Assistant for KDE Plasma 6 A privacy-focused, offline digital assistant inspired by Iron Man. Features integrated LLM chat via llama.cpp, voice commands with whisper.cpp, Piper TTS, and real-time system monitoring. Built with C++ and QML for seamless Plasma integration.
A simple, containerized web API for real-time text-to-speech (TTS) synthesis using Piper, powered by FastAPI.
Freeswitch Text-to-Speech module
Automatic video translator and dubber using Whisper, XTTS v2 for voice cloning, and Ollama for local LLM translation. Supports 100+ languages.
Your agents have things to say. Now they have a voice to say them with.
Python Text-to-Speech toolkit (multi-engine) with FastAPI, CLI and Telegram integration. Featuring first-class Persian support.
AI-Powered Language Learning Platform with Spaced Repetition System, Interactive Roadmap & Smart Vocabulary Management | Flutter + FastAPI + PostgreSQL
⌨️ 🔊 | An Augmentative and Alternative Communication (AAC) software designed to be simple and easy to use
⚙️ Isabella – a full-stack 🚀 conversational system built on FastAPI ✨ featuring 🎭 ML-powered emotion detection microservices (RoBERTa/Deep Learning) embedded into LLM, 🎤 advanced TTS generation pipeline, 🧠 memory-aware context handling,📊 rich logs + analytics , and 🔐 a dynamic persona delivering consistent, signature responses.