WEARABLE HEARING ASSIST DEVICE WITH ARTIFACT REMEDIATION

Various implementations include systems for processing audio signals to remove artifacts introduced by a machine learning system in challenging environments. In particular implementations, a method includes generating a processed audio signal for a hearing assistance device in which the processed au...

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Bibliographic Details
Main Authors YANG, Li-Chia, SABIN, Andrew, Todd, STAMENOVIC, Marko
Format Patent
LanguageEnglish
French
German
Published 27.03.2024
Subjects
ACOUSTICS
DEAF-AID SETS
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKEACOUSTIC ELECTROMECHANICAL TRANSDUCERS
MUSICAL INSTRUMENTS
PHYSICS
PUBLIC ADDRESS SYSTEMS
SPEECH ANALYSIS OR SYNTHESIS
SPEECH OR AUDIO CODING OR DECODING
SPEECH OR VOICE PROCESSING
SPEECH RECOGNITION
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Summary:Various implementations include systems for processing audio signals to remove artifacts introduced by a machine learning system in challenging environments. In particular implementations, a method includes generating a processed audio signal for a hearing assistance device in which the processed audio signal is intended to perceptually dominate a user auditory experience, including: processing an unprocessed audio signal received by the hearing assistance device, wherein the processing includes utilizing a machine learning (ML) system to generate an ML enhanced audio signal; determining a mixing coefficient from an environmental noise assessment; mixing the ML enhanced audio signal with the unprocessed audio signal using the mixing coefficient to generate the processed audio signal; and outputting the processed audio signal.
Bibliography:Application Number: EP20220724986