Sony patents neural network that mixes sound parts to improve audio
Sony describes a method for training a computer program to analyze sound waves. The system breaks audio into two parts, strength and timing, and learns to swap these parts between two similar sounds to check if it can rebuild the original correctly.
In the filing’s own words
A computer-implemented method of training an artificial neural network (ANN) by generating one or more learned parameters for use during a subsequent inference phase of the trained ANN, comprises providing training data representing first and second input signals, the second input signal exhibiting one or more transformations relative to the first signal selected from a set of transformations; using the ANN and in response to the one or more parameters, generating a magnitude and phase representation of each of the first and second input signals; and training the one or more parameters, in dependence upon a constraint which causes the magnitude representation of the first input signal and the magnitude representation of the second input signal to tend to become more similar to one another, the training step comprising: detecting an error signal; and updating the one or more parameters in dependence upon the error signal.
What exactly they claim (claim 1)
1. A computer-implemented method of training an artificial neural network (ANN) by generating one or more learned parameters for use during a subsequent inference phase of the trained ANN, the method comprising: providing training data representing first and second input signals, the second input signal exhibiting one or more transformations relative to the first signal selected from a set of transformations; using the ANN and in response to the one or more parameters, generating a magnitude and phase representation of each of the first and second input signals; and training the one or more parameters, the training step comprising: detecting an error signal; and updating the one or more parameters in dependence upon the error signal, wherein the training comprises: using the ANN and in response to the one or more parameters, generating a first output signal in dependence upon the phase representation of the first input signal and the magnitude representation of the second input signal, and generating a second output signal in dependence upon the phase representation of the second input signal and the magnitude representation of the first input signal; and the detecting comprises: detecting a reconstruction error between at least one of the first and second output signals and at least one of the first and second input signals.
Facts
- Company
- Sony (Sony Group Corporation)
- Official title
- Artificial neural network for generating a representation of first and second input signals
- Patent number
- US12762413B2
- Application number
- 17441290
- Filed
- Feb 28, 2020
- Granted
- Oct 13, 2026
- Inventors
- 1
- Claims
- 20
Classified under
G06N 3/088 Physics & computingG06F 17/16 Physics & computingG10L 25/30 Physics & computingMore from Sony in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.