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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| creator | Lee, Gunwoo Son, Beakkwon Moon, Hangil Yang, Jaemo Lee, Yonghoon Cho, Kiho Baek, Soonho Lee, Myoungho Keum, Jongmo |
| description | 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. |
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Lee, Yonghoon ; Cho, Kiho ; Baek, Soonho ; Lee, Myoungho ; Keum, Jongmo</creatorcontrib><description>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.</description><language>eng</language><subject>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</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220419&DB=EPODOC&CC=US&NR=11308973B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220419&DB=EPODOC&CC=US&NR=11308973B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Lee, Gunwoo</creatorcontrib><creatorcontrib>Son, Beakkwon</creatorcontrib><creatorcontrib>Moon, Hangil</creatorcontrib><creatorcontrib>Yang, Jaemo</creatorcontrib><creatorcontrib>Lee, Yonghoon</creatorcontrib><creatorcontrib>Cho, Kiho</creatorcontrib><creatorcontrib>Baek, Soonho</creatorcontrib><creatorcontrib>Lee, Myoungho</creatorcontrib><creatorcontrib>Keum, Jongmo</creatorcontrib><title>Method for processing multi-channel audio signal on basis of neural network and electronic device</title><description>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.</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DEAF-AID SETS</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKEACOUSTIC ELECTROMECHANICAL TRANSDUCERS</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>PUBLIC ADDRESS SYSTEMS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><subject>STEREOPHONIC SYSTEMS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizEOwjAMALswIOAP5gGVKB2AFQRiYQLmyiROaxHsKk7h-3TgAUwnne6mBV4od-ohaII-qSMzlhZeQ8xcug5FKAIOnhWMW8EIKvBAYwMNIDSkUQnlj6YnoHigSC4nFXbg6c2O5sUkYDRa_Dgrlqfj7XAuqdeGrEdH49_cr1VVr7a7Tb1f1_80XxISPeI</recordid><startdate>20220419</startdate><enddate>20220419</enddate><creator>Lee, Gunwoo</creator><creator>Son, Beakkwon</creator><creator>Moon, Hangil</creator><creator>Yang, Jaemo</creator><creator>Lee, Yonghoon</creator><creator>Cho, Kiho</creator><creator>Baek, Soonho</creator><creator>Lee, Myoungho</creator><creator>Keum, Jongmo</creator><scope>EVB</scope></search><sort><creationdate>20220419</creationdate><title>Method for processing multi-channel audio signal on basis of neural network and electronic device</title><author>Lee, Gunwoo ; 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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.</abstract><oa>free_for_read</oa></addata></record> |
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| 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 |
| title | Method for processing multi-channel audio signal on basis of neural network and electronic device |
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