README.md

---
license: mit
language:
  - en
tags:
  - tts
  - text-to-speech
  - speech-language-model
arxiv: 2602.23068
---

<h1 align="center">TADA: A Generative Framework for Speech Modeling via Text-Acoustic Dual Alignment</h1>

<p align="center">
  <a href="https://arxiv.org/abs/2602.23068"><img src="https://img.shields.io/badge/arXiv-Paper-b31b1b.svg" alt="Paper"></a>
  <a href="https://huggingface.co/spaces/HumeAI/tada"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Demo-blue" alt="Demo"></a>
  <a href="https://huggingface.co/collections/HumeAI/tada-684390a52ed08a7717b5e702"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Collection-yellow" alt="Collection"></a>
  <a href="https://pypi.org/project/hume-tada/"><img src="https://img.shields.io/badge/PyPI-hume--tada-3775A9.svg?logo=pypi&logoColor=white" alt="PyPI"></a>
  <a href="https://www.hume.ai/blog/opensource-tada"><img src="https://img.shields.io/badge/Blog-Post-orange.svg" alt="Blog"></a>
  <a href="https://github.com/HumeAI/tada/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-green.svg" alt="License"></a>
</p>

<img width="2400" height="1260" alt="image" src="https://github.com/user-attachments/assets/800eb8c5-eb6f-4e03-b8f3-150055a6cdfc" />

<p align="center"><br/><em>A unified speech-language model that synchronizes speech and text into a single, cohesive stream via 1:1 alignment.</em></p>

---

# Text-Acoustic Dual-Alignment Large Language Model

TADA is a unified speech-language model that synchronizes speech and text into a single, cohesive stream via 1:1 alignment. By leveraging a novel tokenizer and architectural design, TADA achieves high-fidelity synthesis and generation with a fraction of the computational overhead required by traditional models.

⭐️ arxiv: https://arxiv.org/abs/2602.23068 \
⭐️ demo: https://huggingface.co/spaces/HumeAI/tada \
⭐️ github: https://github.com/HumeAI/tada \
⭐️ blog post: https://www.hume.ai/blog/opensource-tada