Sonus
A massively multilingual zero-shot text-to-speech synthesis system
Overview
Sonus is an advanced multilingual zero-shot text-to-speech synthesis system supporting over 600 languages. Built on a novel architecture, it delivers high-quality speech generation with superior inference speed, supporting voice cloning and voice design capabilities.
Key Features
- 600+ Languages Supported: Broad language coverage for zero-shot TTS
- Voice Cloning: High-quality voice cloning from short reference audio
- Voice Design: Control voices via speaker attributes (gender, age, pitch, accent, etc.)
- Fine-grained Control: Support for non-verbal symbols and pronunciation correction
- Fast Inference: Optimized for real-time and batch processing
Installation
pip install torch torchaudio
pip install transformers
Quick Start
Basic Usage
from transformers import AutoModel, AutoTokenizer
import torch
model = AutoModel.from_pretrained("cortexsgea/sonus", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("cortexsgea/sonus", trust_remote_code=True)
# Load to device
model = model.to("cuda")
# Generate speech
text = "Hello, this is a test of voice synthesis."
# See documentation for full generation API
Voice Cloning
# Provide reference audio for voice cloning
# See API documentation for complete examples
Model Specifications
- Architecture: Diffusion language model-style
- Parameters: 0.6B
- Sampling Rate: 24 kHz
- Languages: 600+
License
This project is available under a custom license.
- Non-commercial use: Free for personal projects, research, and educational purposes
- Commercial use: Requires explicit permission. Contact inquiry@sagea.space for licensing inquiries
See LICENSE file for full terms.
Disclaimer
Users are prohibited from using this model for unauthorized voice cloning, impersonation, fraud, or any illegal activities. Ensure compliance with applicable laws and ethical standards.