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Zi-Tao Liang

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#artificial intelligence Preprint Sep 2026

GrainSpeech: Less Context, More Detail for Compact Speech Synthesis

A receptive-field-scaling study shows that expanding self-attention beyond 15 phonemes provides no consistent gains in pitch, energy, or duration prediction, and introduces a fixed-receptive-field convolutional encoder that reduces the respective prediction errors.

Zi-Tao Liang, Chang Gao · 0 citations