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公开(公告)号:US10262673B2
公开(公告)日:2019-04-16
申请号:US15886288
申请日:2018-02-01
Applicant: Knowles Electronics, LLC
Inventor: Jonathon Ray , Anil Kumar Yadav
IPC: G10L21/0208 , G10L21/0232 , G10L21/0216
Abstract: A method for reducing noise within an acoustic signal includes receiving at least a primary acoustic signal from a primary microphone and a secondary acoustic signal from a different, secondary microphone, wherein the primary acoustic signal includes a speech component emanating from a user and a noise component. The method also includes measuring a first value of a first coefficient based on the primary and secondary signals and performing a noise cancellation process based on the measured first value of the first coefficient to produce a set of noise-cancelled primary sub-bands. The method also includes generating, by the processor, a set of multiplicative gain mask values, the multiplicative gain mask values having a frequency dependency that is based at least in part on a pre-indicated approximate sound pressure level of the speech component.
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公开(公告)号:US20180233158A1
公开(公告)日:2018-08-16
申请号:US15886288
申请日:2018-02-01
Applicant: Knowles Electronics, LLC
Inventor: Jonathon Ray , Anil Kumar Yadav
IPC: G10L21/0208
CPC classification number: G10L21/0208 , G10L21/0232 , G10L2021/02165
Abstract: A method for reducing noise within an acoustic signal includes receiving at least a primary acoustic signal from a primary microphone and a secondary acoustic signal from a different, secondary microphone, wherein the primary acoustic signal includes a speech component emanating from a user and a noise component. The method also includes measuring a first value of a first coefficient based on the primary and secondary signals and performing a noise cancellation process based on the measured first value of the first coefficient to produce a set of noise-cancelled primary sub-bands. The method also includes generating, by the processor, a set of multiplicative gain mask values, the multiplicative gain mask values having a frequency dependency that is based at least in part on a pre-indicated approximate sound pressure level of the speech component.
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