# Chatterbox — State-of-the-Art Open Source Text-to-Speech

> A high-quality open-source TTS model by Resemble AI that delivers natural-sounding speech with fine-grained control over prosody, emotion, and expressiveness.

## Install

Save as a script file and run:

# Chatterbox — State-of-the-Art Open Source Text-to-Speech

## Quick Use
```bash
pip install chatterbox-tts
python -c "
from chatterbox.tts import ChatterboxTTS
model = ChatterboxTTS.from_pretrained(device='cuda')
wav = model.generate('Hello, welcome to Chatterbox TTS.')
import torchaudio
torchaudio.save('output.wav', wav, model.sr)
"
```

## Introduction
Chatterbox is Resemble AI's open-source text-to-speech system that achieves state-of-the-art voice quality while remaining lightweight and easy to use. It generates natural, expressive speech from text with support for voice cloning, emotion control, and fine-grained prosody adjustments through a simple Python API.

## What Chatterbox Does
- Generates high-quality speech from text with natural prosody and intonation
- Supports zero-shot voice cloning from a short reference audio clip
- Provides control over emotion, pace, and expressiveness via text prompts
- Runs inference on consumer GPUs with fast generation speeds
- Offers a simple Python API with just a few lines of code to generate audio

## Architecture Overview
Chatterbox uses a neural codec language model architecture that encodes speech into discrete tokens and generates them autoregressively conditioned on text input. The model combines a text encoder, a duration predictor, and a multi-stage token decoder that progressively refines audio quality. Voice cloning works by encoding a reference audio clip into a speaker embedding that conditions the generation process.

## Self-Hosting & Configuration
- Install via pip with CUDA-enabled PyTorch for GPU acceleration
- Model weights are downloaded automatically from Hugging Face Hub on first run
- Requires approximately 4GB of VRAM for inference on a single GPU
- Supports batch generation for processing multiple utterances efficiently
- Configuration options for sample rate, audio format, and generation temperature

## Key Features
- Near-human speech quality on standard TTS benchmarks
- Zero-shot voice cloning from a 10-second reference clip
- Controllable emotion and expressiveness through natural language descriptions
- Fast inference suitable for real-time applications
- Apache 2.0 license with no usage restrictions for commercial deployment

## Comparison with Similar Tools
- **Bark** — Multi-modal audio generation including music and effects; Chatterbox focuses on speech quality with better naturalness
- **Kokoro TTS** — Lightweight 82M parameter model; Chatterbox offers higher fidelity at the cost of larger model size
- **F5-TTS** — Flow-matching approach; Chatterbox uses codec language modeling for better prosody control
- **Fish Speech** — Multilingual focus; Chatterbox prioritizes English speech quality and voice cloning accuracy

## FAQ
**Q: What languages does Chatterbox support?**
A: The initial release focuses on English, with community efforts underway for additional languages.

**Q: Can I use Chatterbox commercially?**
A: Yes, the model is released under the Apache 2.0 license, which permits commercial use.

**Q: How long does it take to generate speech?**
A: On a modern GPU, Chatterbox generates speech at roughly 10x real-time speed.

**Q: Does voice cloning require training?**
A: No, voice cloning is zero-shot. Provide a short reference audio clip and the model adapts on the fly.

## Sources
- https://github.com/resemble-ai/chatterbox
- https://www.resemble.ai/chatterbox

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Source: https://tokrepo.com/en/workflows/asset-a6af5d44
Author: Script Depot