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Higgs-audio is a generative text-to-speech engine that transforms text into natural conversational speech using large language model architectures. It functions as a multilingual speech synthesizer capable of generating high-fidelity audio across different languages with control over emotional tone and prosody. The system includes a voice cloning tool that creates synthetic replicas of specific speakers from short audio samples without requiring extensive model training. It also provides a streaming audio API designed to deliver generated speech incrementally to minimize playback delay. The
MegaTTS3 is a bilingual speech synthesis system that generates natural-sounding speech in Chinese and English, including seamless code-switching within a single utterance. It functions as a text-to-speech engine, voice cloning system, and speech-to-text alignment tool, built around an acoustic latent compression model that encodes high-resolution audio into compact representations for efficient processing. The system distinguishes itself through accent intensity control, allowing adjustment of a speaker's accent strength in generated speech, and voice cloning from short audio samples for pers
ChatTTS is a conversational text-to-speech generative model designed to convert written dialogue into natural sounding audio. It functions as a multilingual speech synthesis framework capable of producing human-like audio across different languages and speaker profiles. The system is distinguished by its ability to generate interactive dialogue with realistic vocal nuances. It utilizes a speech nuance controller to insert specific tokens that trigger non-verbal elements, such as laughter, pauses, and interjections, during the synthesis process. The project includes a streaming audio generato
This project is a generative speech synthesis engine that converts text into high-fidelity human speech. It utilizes a two-stage autoregressive transformer architecture that separates semantic token prediction from acoustic detail reconstruction to balance linguistic accuracy with audio quality. The system is designed to support multilingual output and conversational AI development, enabling the generation of context-aware speech that maintains flow across multiple dialogue turns. The platform distinguishes itself through a production-ready inference server that employs continuous batching to
The main features of fireredteam/fireredtts2 are: Speech Processing, Speech Synthesis.
Projects with overlapping indexed features include: fishaudio/fish-speech — This project is a generative speech synthesis engine that converts text into high-fidelity human speech. It utilizes a… funaudiollm/cosyvoice — CosyVoice is a speech synthesis framework that utilizes large language models to generate expressive, multilingual… 2noise/chattts — ChatTTS is a conversational text-to-speech generative model designed to convert written dialogue into natural sounding… boson-ai/higgs-audio — Higgs-audio is a generative text-to-speech engine that transforms text into natural conversational speech using large… bytedance/megatts3 — MegaTTS3 is a bilingual speech synthesis system that generates natural-sounding speech in Chinese and English,… hexgrad/kokoro — Kokoro is a lightweight neural text-to-speech engine that converts written text into spoken audio using a compact…