Cross-Attention Attribution for Style-Captioned TTS

Researchers introduce cross-attention attribution to analyze how instructions in style-captioned text-to-speech systems influence acoustic output, improving controllability and failure diagnosis in expressive TTS models.

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1. BenchmarkJun 18, 2026, 05:47 PM 84%

   Researchers propose cross-attention attribution to analyze how instructions influence acoustic output in style-captioned TTS systems.

   Researchers introduce cross-attention attribution to analyze how instructions in style-captioned text-to-speech systems influence acoustic output, improving controllability and failure diagnosis in expressive TTS models.

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