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# EmoRES (Emotion Residual-Enhanced Steering)

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  1. arXiv

    EmoRES splits emotion vectors into shared and residual parts, lifting emotion hit rate by up to 12.95 points on IndexTTS-2 and CosyVoice2

    The work proposes EmoRES, a training-free method that discovers that an emotion steering vector decomposes into a shared component moving speech away from neutral expression and a residual component directing generation toward the requested emotion, and controls the two independently; on IEMOCAP, EmoRES outperforms CoCoEmo across all four objective emotion metrics on the frozen IndexTTS-2 and CosyVoice2 backbones, improving rank correlation by 26.13 and 12.97 percentage points and emotion hit rate by 12.95 and 6.92 points, with human evaluation showing up to 35.0% relative improvement in listeners correctly identifying the dominant requested emotion and up to 63.8% naturalness preference in pairwise comparisons.

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