Sound signal synthesis method, neural network training method, and sound synthesizer
AssigneeYamaha Corporation
InventorRyunosuke DAIDO
Life of this patent
Estimating the term…
Abstract
A sound signal synthesis method includes inputting control data representing conditions of a sound signal into a neural network, and thereby estimating first data representing a deterministic component of the sound signal and second data representing a stochastic component 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. The neural network has learned a relationship between control data that represents conditions of a sound signal of a reference signal, a deterministic component of the sound signal of the reference signal, and a stochastic component of the sound signal of the reference signal.
Claims16
A sound signal synthesis method realized by a computer, the sound signal synthesis method comprising:
- inputting control data representing conditions of a sound signal into a neural network, and thereby estimating first data representing a deterministic component of the sound signal and second data representing a stochastic component of the sound signal, the neural network being a neural network that has learned a relationship between control data that represents conditions of a sound signal of a reference signal, a deterministic component of the sound signal of the reference signal, and a stochastic component of the sound signal of the reference 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, the method comprising:
- acquiring a deterministic component and a stochastic component of a reference signal;
- acquiring control data corresponding to the reference signal;
- and
- training a neural network to estimate first data indicating the deterministic component and second data indicating the stochastic component in accordance with 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 generation module that inputs control data representing conditions of a sound signal into a neural network, and thereby estimates first data representing a deterministic component of the sound signal and second data representing a stochastic component of the sound signal, the neural network being a neural network that has learned a relationship between control data that represents conditions of a sound signal of a reference signal, a deterministic component of the sound signal of the reference signal, and a stochastic component of the sound signal of the reference 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 generating the sound signal.
Dependencies are inferred from the claim text.