TADA - 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. Each autoregressive step covers one text token, dynamically determining its duration and prosody — eliminating fixed frame rates and transcript hallucination.
For full details, evaluation results, and documentation, see the GitHub repository.
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Release files for hume-tada 0.1.9
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| Tags | Python 3 |
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