Method of training a sound event recognition system
US10783434B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 7, 2019 |
| Grant date | Sep 22, 2020 |
| Priority date | — |
| Expiry date | Oct 7, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/51
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of training a non-verbal sound class detection machine learning system, the non-verbal sound class detection machine learning system comprising a machine learning model configured to: receive data for each frame of a sequence of frames of audio data obtained from an audio signal; for each frame of the sequence of frames: process the data for multiple frames; and output data for at least one sound class score representative of a degree of affiliation of the frame with at least one sound class of a plurality of sound classes, wherein the plurality of sound classes comprises: one or more target sound classes; and a non-target sound class representative of an absence of each of the one or more target sound classes; wherein the method comprises: training the machine learning model using a loss function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.