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GrainSpeech: Less Context, More Detail for Compact Speech Synthesis

Liang, Zitao et al.
arXiv (All) · Papers
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artificial-intelligenceaudio-and-speech-processingsignal-processingsound
Compact acoustic models face a challenging quality-capacity trade-off. We investigate two factors in this regime: encoder context and Mel-spectrogram supervision. A receptive-field-scaling study shows that expanding self-attention beyond 15 phonemes provides no consistent gains in pitch, energy, or
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