Method for processing multi-channel audio signal on basis of neural network and electronic device

According to an embodiment, an electronic device may include a memory configured to store a noise removal neural network model and data utilized in the noise removal neural network model and a processor electrically connected to the memory wherein the memory may store instructions that, when execute...

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Bibliographic Details
Main Authors Lee, Gunwoo, Son, Beakkwon, Moon, Hangil, Yang, Jaemo, Lee, Yonghoon, Cho, Kiho, Baek, Soonho, Lee, Myoungho, Keum, Jongmo
Format Patent
LanguageEnglish
Published 19.04.2022
Subjects
ACOUSTICS
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
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
STEREOPHONIC SYSTEMS
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Summary:According to an embodiment, an electronic device may include a memory configured to store a noise removal neural network model and data utilized in the noise removal neural network model and a processor electrically connected to the memory wherein the memory may store instructions that, when executed, enable the processor to: output a first channel signal using a first beamformer for a multi-channel audio signal; output a second channel signal using a second beamformer; generate a third channel signal that compensates for a difference in noise levels between the first channel signal and the second channel signal; and train the noise removal neural network model by using the third channel signal in which the difference in noise levels is compensated for and the first channel signal as input values.
Bibliography:Application Number: US202016987475