Sound signal synthesis method, neural network training method, and sound synthesizer
AssigneeYamaha Corporation
InventorRyunosuke DAIDO
Life of this patent
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Abstract
A sound signal synthesis method includes generating first data representing a deterministic component of a sound signal based on second control data representing conditions of the sound signal, generating, using a first generation model, second data representing a stochastic component of the sound signal based on the first data and first control data representing conditions of the sound signal, and combining the deterministic component represented by the first data and the stochastic component represented by the second data and thereby generating the sound signal.
Claims18
A sound signal synthesis method realized by a computer, the sound signal synthesis method comprising:
- generating first data representing a deterministic component of a sound signal based on second control data representing conditions of the sound signal;
- generating, using a first generation model, second data representing a stochastic component of the sound signal based on the first data and first control data representing conditions of the sound signal;
- and
- combining the deterministic component represented by the first data and the stochastic component represented by the second data and thereby generating the sound signal.
A method for training a neural network comprising:
- acquiring a deterministic component of a reference signal, a stochastic component of the reference signal, and control data corresponding to the reference signal;
- and
- training the neural network such that the neural network has ability of estimating a probability density distribution of the stochastic component in accordance with the deterministic component and the control data.
A sound synthesizer comprising:
- an electronic controller including at least one processor, the electronic controller being configured to execute a plurality of modules including
- a second generation module that generates first data representing a deterministic component of a sound signal based on second control data representing conditions of the sound signal,
- a first generation module that generates, using a first generation model, second data representing a stochastic component of the sound signal based on the first data and first control data representing conditions of the sound signal, and
- a synthesis module that combines the deterministic component represented by the first data and the stochastic component represented by the second data and thereby generates the sound signal.
Dependencies are inferred from the claim text.