Chatterbox – An open-source text-to-speech model by Resemble AI

What is Chatterbox？

Chatterbox is an open-source text-to-speech (TTS) model developed by Resemble AI. Built on a 0.5B-parameter LLaMA architecture, the model is trained on over 500,000 hours of curated audio data, achieving performance that rivals—and in some cases surpasses—proprietary systems. Chatterbox supports zero-shot voice cloning, enabling the generation of highly realistic and personalized voices from just a 5-second reference clip. It features a unique emotional exaggeration control, allowing users to adjust emotion, speed, and intonation for greater creative flexibility. With ultra-low latency—under 200 milliseconds—Chatterbox is well-suited for interactive applications.

Key Features of Chatterbox

Zero-Shot Voice Cloning: Generates highly realistic personalized voices from only 5 seconds of reference audio without complex training.
Emotional Exaggeration Control: Users can manipulate voice emotion, speed, and tone, making speech more expressive.
Ultra-Low Latency Real-Time Synthesis: With latency under 200ms, it’s ideal for interactive use cases like virtual assistants and live dubbing.
Secure Watermarking: Each generated audio clip includes Resemble AI’s Perth neural watermark to prevent misuse.

Technical Foundations of Chatterbox

LLaMA-Based Architecture: Utilizes a 0.5B-parameter version of the LLaMA Transformer architecture, optimized for complex language modeling tasks.
Large-Scale Audio Training: Trained on over 500,000 hours of carefully curated and filtered audio to ensure high-quality speech synthesis.
Emotional Exaggeration Mechanism: Incorporates specific neural layers and parameter tuning to dynamically control emotion, speed, and tone for more expressive output.
Alignment-Aware Inference: Employs alignment-aware techniques during synthesis to ensure precise mapping between text and speech, enhancing consistency and stability.

Project Links for Chatterbox

GitHub Repository: https://github.com/resemble-ai/chatterbox
Online Demo: https://huggingface.co/spaces/ResembleAI/Chatterbox

Application Scenarios of Chatterbox

Content Creation: Produces high-quality voiceovers for videos, podcasts, and other audio-based content.
Game Development: Enables real-time voice interaction to enhance gaming immersion.
AI Assistants: Serves as a speech engine to improve user interaction in smart assistants.
Educational Tools: Supports personalized voice teaching, enhancing language learning experiences.
Multilingual Content: Rapidly generates multilingual voices to meet global content needs.