Tags: #text-to-speech

A highly customizable AI chatbot component designed for easy integration into any website or UI framework.

A production-ready toolkit enabling developers to integrate private, offline, and fast on-device AI capabilities like LLMs, speech-to-text, and text-to-speech into their applications across various platforms.

The open-source, local-first voice synthesis studio for voice cloning, speech generation, and audio effects.

CosyVoice is an advanced multi-lingual large language model-based text-to-speech system offering state-of-the-art voice generation, cloning, and full-stack deployment capabilities.

An open-source, on-device AI toolkit for real-time, low-latency speech-to-text, intent recognition, and text-to-speech across multiple platforms.

A powerful tool to convert e-books into audiobooks with advanced text-to-speech, voice cloning, and extensive language support.

Silero Models offers a collection of pre-trained, end-to-end text-to-speech models designed for simplicity, speed, and natural-sounding speech generation.

A single web interface integrating numerous state-of-the-art open-source models for text-to-speech, audio generation, and voice conversion.

A Python module and CLI tool to access Microsoft Edge's online text-to-speech service without an API key, Edge browser, or Windows.

IndexTTS2 is an industrial-level, zero-shot text-to-speech system offering precise duration control and disentangled emotional expression for highly natural and controllable speech synthesis.

Clone a voice in 5 seconds to generate arbitrary speech in real-time using a three-stage deep learning framework.

Generate high-quality audiobooks and voiceovers from various text formats with synchronized captions.

Generate high-quality audiobooks in .m4b format from .epub e-books using advanced text-to-speech technology, with both command-line and graphical interfaces.

A powerful open-source web UI for few-shot voice conversion and text-to-speech, enabling high-quality voice cloning with minimal audio data.

An open-source, high-performance text-to-speech system built on Whisper, aiming to be a hackable and commercially safe alternative for speech generation.

A high-performance library built on Apple's MLX framework, offering efficient text-to-speech, speech-to-text, and speech-to-speech capabilities optimized for Apple Silicon.

An open-source AI model family for high-fidelity, expressive speech and sound generation across diverse real-world applications.

A versatile interface for OuteTTS models, providing flexible text-to-speech generation capabilities across various AI inference backends and hardware platforms.

A locally running, hands-free ChatGPT UI that enhances text generation and chat engagement with speech-to-text and text-to-speech capabilities.

A desktop application providing a user-friendly interface for Microsoft's speech synthesis capabilities.

A state-of-the-art open-source text-to-speech system leveraging LLMs to generate human-like, emotional, and low-latency speech with zero-shot voice cloning capabilities.

Provides a local web interface and API for the ChatTTS model, enabling text-to-speech synthesis with support for mixed languages and numbers.

A user-friendly web-based tool for voice cloning, text-to-speech, and speech-to-speech conversion, leveraging the Coqui XTTS_v2 model with multi-language support.

An advanced Android Text-to-Speech (TTS) application offering Microsoft TTS integration, custom HTTP requests, local engine support, and intelligent dialogue recognition.

A fast, local, neural text-to-speech system for efficient and private voice generation.

An AI voice synthesis library offering instant, accurate, and flexible voice cloning with multi-lingual support.

DiffSinger is an official PyTorch implementation of a singing voice synthesis (SVS) and text-to-speech (TTS) system, leveraging a shallow diffusion mechanism for high-quality audio generation.

A high-quality, multi-lingual text-to-speech library supporting real-time CPU inference across various languages and accents.

A deep learning toolkit for Text-to-Speech, offering pretrained models, training tools, and dataset utilities.

An open-source, multi-voice, and prompt-controlled text-to-speech engine capable of generating speech with diverse emotions in English and Chinese.

StyleTTS 2 is a text-to-speech model that achieves human-level speech synthesis by leveraging style diffusion and adversarial training with large speech language models.

TensorFlowTTS provides real-time, state-of-the-art speech synthesis architectures based on TensorFlow 2, supporting multiple languages and optimized for fast inference and deployment on various devices.

VITS is an end-to-end text-to-speech model that generates highly natural-sounding audio with diverse rhythms, outperforming traditional two-stage TTS systems.

A deep learning library for advanced Text-to-Speech generation, offering high-quality speech synthesis with pretrained models and multi-language support.