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README.md

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 arxiv: 2602.23068
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+<h1 align="center">TADA: A Generative Framework for Speech Modeling via Text-Acoustic Dual Alignment</h1>
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+<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://github.com/HumeAI/tada/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-green.svg" alt="License"></a>
+</p>
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+<img width="2400" height="1260" alt="image" src="https://github.com/user-attachments/assets/800eb8c5-eb6f-4e03-b8f3-150055a6cdfc" />
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+<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>
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+---
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 # 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.