Importance

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Abstract

A sound processing method includes: generating with a trained generative model, for each of a plurality of time points including a first time point, a first acoustic feature amount of a target sound to be generated, by sequentially processing input data including condition data representing conditions of the target sound; generating, for each of the plurality of time points, a time-domain waveform signal representing a waveform of the target sound based on the first acoustic feature amount; and generating, for each of the plurality of time points, a second acoustic feature amount based on the time-domain waveform signal. The input data at the first time point includes the second acoustic feature amount generated before the first time point.

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First Claim