A massively multilingual zero-shot text-to-speech synthesis system
Model source
Source description
A massively multilingual zero-shot text-to-speech synthesis system
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.
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1 sourceVerified Sep 21
Model artifacts
1 artifactaudio_tokenizer/model.safetensors
safetensors · 768 MB · SHA-256 fe7c5e8785e0…fb0d · Hugging Face
DownloadSource excerpts
2 excerptspip install torch torchaudio
pip install transformers
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
# Provide reference audio for voice cloning
# See API documentation for complete examples
This project is available under a custom license.
See LICENSE file for full terms.
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.
--- language: - multilingual license: other library_name: transformers tags: - text-to-speech - tts - voice-cloning - multilingual - zero-shot - audio - speech datasets: - multilingual-speech metrics: - mos pipeline_tag: text-to-speech --- # 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 ```bash pip install torch torchaudio pip install transformers ``` ## Quick Start ### Basic Usage ```python 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 ```python # 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 [email protected] 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.
Source context: 7 downloads · 3 likes · Pipeline text-to-speech · Library transformers · Repo cortexsgea/sonus