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

Abstract

A method for recognising at least one of a non-verbal sound event and a scene in an audio signal comprising a sequence of frames of audio data, the method comprising: for each frame of the sequence: receiving at least one sound class score, wherein each sound class score is representative of a degree of affiliation of the frame with a sound class of a plurality of sound classes; for a sound class score of the at least one sound class scores: determining a confidence that the sound class score is representative of a degree of affiliation of the frame with the sound class by processing a value for a property associated with the frame, wherein the value is processed using a learned model for the property; adjusting the sound class score for the frame based at least on the determined confidence.

You can view the full patent here.

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About our Patents

We have a portfolio of 31 international patents.

Our patent portfolio covers the uses of sound recognition in a wide range of applications, as well as the core techniques and tools we have used in the process of developing our world-leading technology. Take a look at our current list of patents and their status here.

 

 About Audio Analytic 

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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