Active noise-reduction earphones and noise-reduction control method and system for the same

US10115387B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10115387-B2
Application numberUS-201715857903-A
CountryUS
Kind codeB2
Filing dateDec 29, 2017
Priority dateDec 31, 2014
Publication dateOct 30, 2018
Grant dateOct 30, 2018

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Abstract

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A noise-reduction control method includes performing frequency-domain weighting and temporal-domain weighting to a noise signal collected at current time to obtain a weighted energy. Judging whether active noise-reduction control is needed based on the weighted energy; calculating an energy value of a first sub-band and an energy value of a second sub-band of the noise signal collected by the feedforward microphone at the current time, wherein the first sub-band and the second sub-band are determined based on a feedforward noise-reduction curve and a feedback noise-reduction curve of the earphone, respectively. Determining a feedforward noise-reduction amount and a feedback noise-reduction amount based on the energy value of the first sub-band and the energy value of the second sub-band, respectively. Controlling the earphone to perform feedforward noise reduction based on the feedforward noise-reduction amount, and controlling the earphone to perform feedback noise reduction based on the feedback noise-reduction amount.

First claim

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What is claimed is: 1. A noise-reduction control method for active noise-reduction earphones, wherein providing a feedforward microphone on each earphone of the active noise-reduction earphones, respectively; the feedforward microphone being disposed outside of the earphone; the noise-reduction control method comprising: performing frequency-domain weighting and temporal-domain weighting to a noise signal collected by the feedforward microphone at current time to obtain a weighted energy; judging whether active noise-reduction control is needed at the current time based on the weighted energy; when the active noise-reduction control is needed, calculating an energy value of a first sub-band and an energy value of a second sub-band of the noise signal collected by the feedforward microphone at the current time, wherein the first sub-band and the second sub-band are determined based on a feedforward noise-reduction curve and a feedback noise-reduction curve of the earphone, respectively; determining a feedforward noise-reduction amount and a feedback noise-reduction amount based on the energy value of the first sub-band and the energy value of the second sub-band, respectively; controlling the earphone to perform feedforward noise reduction based on the feedforward noise-reduction amount, and controlling the earphone to perform feedback noise reduction based on the feedback noise-reduction amount, wherein performing frequency-domain weighting to a noise signal collected by the feedforward microphone at current time according to the following formula: v ( n )= R A ( f )* s 1 wherein, y(n) is a signal obtained after the frequency-domain weighting, s 1 is the noise signal, f is a frequency of the noise signal, and R A (f) is a frequency weighting coefficient, R A ⁡ ( f ) = 12200 2 · f 4 ( f 2 + 20.6 2 ) ⁢ ( f 2 + 107.7 2 ) ⁢ ( f 2 + 737.9 2 ) ⁢ ( f 2 + 12200 2 ) . 2. The noise-reduction control method according to claim 1 , wherein performing temporal-domain weighting to a noise signal collected by the feedforward microphone at current time according to the following formula: SPL ( n )=α*Energy( n )+(1−α)* SPL ( n− 1) wherein, SPL(n) is a weighted energy of a current frame; α is a temporal weighting coefficient; Energy(n) is an energy value of a current frame, wherein Energy(n)=y 2 (n); and SPL(n−1) is a weighted energy of a last frame. 3. The noise-reduction control method according to claim 1 , wherein passing the noise signal collected by the feedforward microphone at current time through a bandpass filter, and calculating an energy value of a first sub-band and an energy value of a second sub-band of the noise signal collected by the feedforward microphone at current time according to the following formula: Energy=Σ y 2 ( n ), y ( n )= s 1* h ( n ), wherein, Energy is the energy value of the first sub-band or the energy value of the second sub-band; and y(n) denotes the sub-band signal obtained after the noise signal s 1 passes through the bandpass filter h(n), and n denotes time. 4. The noise-reduction control method according to claim 1 , wherein transforming the noise signal collected by the feedforward microphone at current time to frequency domain by Fast Fourier Transformation, and calculating an energy value of a first sub-band and an energy value of a second sub-band of the noise signal collected by the feedforward microphone at current time according to the following formula: Engery = ∑ subband ⁢ ⁢ 1 subband ⁢ ⁢ 2 ⁢ ⁢ α · S ⁢ ⁢ 1 2 ⁢ ( k ) wherein, Energy is the energy value of the first sub-band or the energy value of the second sub-band; (subband 1 , subband 2 ) is a frequency-domain range of the first sub-band or a frequency-domain range of the second sub-band; α is a weight coefficient; and S 1 ( k )=FFT(s 1 ), S 1 ( k ) denotes a signal obtained after the noise signal s 1 transforms by Fast Fourier Transformation. 5. The noise-reduction control method according to claim 1 , wherein providing a feedback microphone on each earphone of the active noise-reduction earphones, respectively, the feedback microphone being provided within a coupled cavity coupling the earphone with a human ear, the no

Assignees

Inventors

Classifications

  • Feedback · CPC title

  • Feedforward · CPC title

  • between the reference signals and the error signals, i.e. primary path · CPC title

  • Earphones, e.g. for telephones, ear protectors or headsets · CPC title

  • Earpieces of the supra-aural or circum-aural type · CPC title

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What does patent US10115387B2 cover?
A noise-reduction control method includes performing frequency-domain weighting and temporal-domain weighting to a noise signal collected at current time to obtain a weighted energy. Judging whether active noise-reduction control is needed based on the weighted energy; calculating an energy value of a first sub-band and an energy value of a second sub-band of the noise signal collected by the f…
Who is the assignee on this patent?
Goertek Inc
What technology area does this patent fall under?
Primary CPC classification G10K11/17815. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 30 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).