Papers with domain-specific representation alignment objective

1 papers
ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment (2026.acl-long)

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Challenge: ImmersiveTTS model synthesizes intelligible speech and environmental audio from natural language descriptions.
Approach: They propose an environment-aware text-to-speech model that integrates natural speech with environmental audio . the model explicitly models cross-modal interactions through a dual-stream stage .
Outcome: Experimental results show that ImmersiveTTS achieves higher naturalness, intelligibility, and audio fidelity than existing approaches.

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