Sound processing method, sound processing system, and recording medium
AssigneeYamaha Corporation
InventorRyunosuke DAIDO
Life of this patent
Estimating the term…
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.
Claims17
A sound processing method realized by a computer system, the method comprising:
- 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,
- wherein the input data at the first time point includes the second acoustic feature amount generated before the first time point.
A sound processing system comprising:
- one or more memories storing instructions;
- and
- one or more processors configured to execute the stored instructions to:
- generate 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;
- generate, 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
- generate, for each of the plurality of time points, a second acoustic feature amount based on the time-domain waveform signal,
- wherein the input data at the first time point includes the second acoustic feature amount generated before the first time point.
A non-transitory computer-readable recording medium storing instructions executable by a processor to perform a method comprising:
- 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,
- wherein the input data at the first time point includes the second acoustic feature amount generated before the first time point.
Dependencies are inferred from the claim text.