This model is the first release from the Azzurra Project, our initiative to build private, personal, and empathetic AI that feels Italian not just in language, but in culture, warmth, and presence. azzurra-voice was trained on thousands of hours of high-quality, diverse Italian speech, capturing a wide range of accents, prosodies, and conversational styles from across Italy.
This model is released to empower researchers, developers, and makers to build more inclusive, local, and human-centered AI applications.
Features
Highly Expressive and Natural: Generates speech with natural intonation and emotion, avoiding a robotic tone.
Diverse Italian Dataset: Trained on a comprehensive dataset that includes various regional accents and conversational patterns, making the output feel authentic and familiar.
Efficient and High-Quality: Optimized to run efficiently while delivering top-tier, 24,000 Hz speech quality.
Open and Accessible: Free, open-weight, and easy to integrate using the transformers library.
Run with csm.rs 🚀
You can run azzurra-voice with csm.rs, a high-performance Rust implementation for fast, real-time TTS inference.
Generating speech is straightforward using the Hugging Face transformers library.
python
1import torch
2from transformers import CsmForConditionalGeneration, AutoProcessor
3import soundfile as sf
45device ="cuda"if torch.cuda.is_available()else"cpu"67processor = AutoProcessor.from_pretrained("cartesia/azzurra-voice")8model = CsmForConditionalGeneration.from_pretrained("cartesia/azzurra-voice").to(device)910text ="La sintesi vocale è un processo complesso"11conversation =[12{"role":"user","content":[{"type":"text","text": text}]},13]14inputs = processor.apply_chat_template(15 conversation,16 tokenize=True,17 return_dict=True,18).to(device)1920audio_output = model.generate(**inputs, output_audio=True)21waveform = audio_output[0].cpu().numpy()2223sf.write("output.wav", waveform,24_000)
Model Details
Model Architecture: azzurra-voice is a sesame/csm-1b
Language: Italian
Sample Rate: 24,000 Hz
Training Data: The model was trained on a proprietary dataset composed of thousands of hours of high-quality Italian speech. The dataset covers a wide demographic and geographic range within Italy.
License
This model is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
This means:
You are free to:
Share — copy and redistribute the material in any medium or format.
Adapt — remix, transform, and build upon the material.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
NonCommercial — You may not use the material for commercial purposes.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
