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.

Abstract

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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Audio Analytic is the pioneer of AI sound recognition technology. The company is on a mission to give machines a compact sense of hearing. This empowers them with the ability to react to the world around us, helping satisfy our entertainment, safety, security, wellbeing, convenience, and communication needs across a huge range of consumer products.

Audio Analytic’s ai3™ and ai3-nano™ sound recognition software enables device manufacturers to equip products at the edge with the ability to recognize and automatically respond to our growing list of sounds and acoustic scenes.

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