September 23, 2020

Patent US010783434: Application of loss functions for training sound event recognition systems

Patent inventors: Cagdas Bilen, Juan Azcarreta Ortiz, Giacomo Ferroni, Arnoldas Jasonas, Francesco Tuveri, Sacha Krstulovic and Chris Mitchell.


A method of training a non-verbal sound class detection machine learning system, the nonverbal 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.

You can view the full patent here.


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