Repository History
5 repositories tagged with tts
tortoise.cpp: Local Text-to-Speech with GGML and C++
tortoise.cpp is a C++ re-implementation of the popular Tortoise-TTS model, leveraging the efficient GGML library. This project enables high-quality, local text-to-speech generation without the need for Python dependencies. It aims to make advanced speech synthesis more accessible and performant on various hardware configurations.
StreamingKokoroJS: Unlimited, Local Text-to-Speech in Your Browser
StreamingKokoroJS provides unlimited text-to-speech capabilities directly within your browser, ensuring 100% local processing and complete privacy. This open-source project leverages the Kokoro-JS model and WebGPU acceleration to deliver high-quality, streaming audio generation without server-side interaction.
TTSFM: OpenAI-Compatible Text-to-Speech API Service (Project Notice)
TTSFM was a project designed to mirror OpenAI's TTS service, offering a compatible API for free text-to-speech conversion with multiple voice options. Built on the openai.fm backend, it provided a Python SDK, RESTful API, and a web playground for easy testing and integration. Please note, the project is no longer functional as the openai.fm demo website has been shut down.
GPT-SoVITS: Few-Shot Voice Cloning and Text-to-Speech WebUI
GPT-SoVITS is a powerful web-based tool for few-shot voice conversion and text-to-speech. It allows users to train a high-quality TTS model with as little as one minute of voice data. This project offers robust voice cloning capabilities and cross-lingual support, making advanced voice synthesis accessible.
ChatTTS: A Generative Speech Model for Natural Dialogue and LLM Assistants
ChatTTS is an advanced text-to-speech model specifically designed for dialogue scenarios, such as those involving LLM assistants. It offers highly natural and expressive speech synthesis, featuring fine-grained control over prosodic elements like laughter, pauses, and interjections. This Python-based project supports both English and Chinese, making it a powerful tool for conversational AI applications.