`USO 111223 57B2
`
`c12) United States Patent
`Burnett
`
`(IO) Patent No.: US 11,122,357 B2
`*Sep.14,2021
`(45) Date of Patent:
`
`(54) FORMING VIRTUAL MICROPHONE
`ARRAYS USING DUAL OMNIDIRECTIONAL
`MICROPHONE ARRAY (DOMA)
`
`(71) Applicant: Jawbone Innovations, LLC, Marshall,
`TX (US)
`
`(72)
`
`Inventor: Gregory C. Burnett, Dodge Center,
`MN (US)
`
`(73) Assignee: Jawbone Innovations, LLC, Marshall,
`TX (US)
`
`( *) Notice:
`
`Subject to any disclaimer, the term ofthis
`patent is extended or adjusted under 35
`U.S.C. 154(b) by O days.
`This patent is subject to a terminal dis-
`claimer.
`
`(21) Appl. No.: 13/959,708
`
`(22) Filed:
`
`Aug. 5, 2013
`
`(65)
`
`Prior Publication Data
`US 2014/0185825 Al
`Jul. 3, 2014
`
`Related U.S. Application Data
`(63) Continuation of application No. 12/139,333, filed on
`Jun. 13, 2008, now Pat. No. 8,503,691.
`(Continued)
`
`(51)
`
`Int. Cl.
`H04R 3/00
`H04R 1110
`
`(2006.01)
`(2006.01)
`(Continued)
`
`(52) U.S. Cl.
`CPC ........ H04R 111091 (2013.01); Gl0L 2110208
`(2013.01); H04R 11406 (2013.01);
`(Continued)
`
`(58) Field of Classification Search
`CPC .... H04R 3/005; H04R 2410/05; H04R 3/002;
`H04R 3/04; H04R 1/1091; H04R 1/406;
`(Continued)
`
`(56)
`
`References Cited
`U.S. PATENT DOCUMENTS
`
`4,653,102 A
`4,777,649 A
`
`3/1987 Hansen
`10/1988 Carlson et al.
`(Continued)
`
`FOREIGN PATENT DOCUMENTS
`
`WO
`
`2009003180
`
`12/2008
`
`OTHER PUBLICATIONS
`
`Weiss, Howard; Office Action mailed by U.S. Patent and Trademark
`Office dated Apr. 10, 2012 for U.S. Appl. No. 12/139,333.
`(Continued)
`
`Primary Examiner - Marcos D. Pizarro
`(74) Attorney, Agent, or Firm - Nutter McClennen &
`Fish LLP
`
`ABSTRACT
`(57)
`A dual onmidirectional microphone array noise suppression
`is described. Compared to conventional arrays and algo-
`rithms, which seek to reduce noise by nulling out noise
`sources, the array of an embodiment is used to form two
`distinct virtual directional microphones which are config-
`ured to have very similar noise responses and very dissimilar
`speech responses. The only null formed is one used to
`remove the speech of the user from V2 . The two virtual
`microphones may be paired with an adaptive filter algorithm
`and VAD algorithm to significantly reduce the noise without
`distorting the speech, significantly improving the SNR of the
`desired speech over conventional noise suppression systems.
`
`20 Claims, 17 Drawing Sheets
`
`202
`
`-500
`
`(
`
`201-
`
`Vl
`
`VN
`
`- 1 -
`
`Sony v. Jawbone
`
`U.S. Patent No. 11,122,357
`
`Sony Ex. 1001
`
`
`
`US 11,122,357 B2
`Page 2
`
`Related U.S. Application Data
`(60) Provisional application No. 60/934,551, filed on Jun.
`13, 2007, provisional application No. 60/953,444,
`filed on Aug. 1, 2007, provisional application No.
`60/954,712, filed on Aug. 8, 2007, provisional
`application No. 61/045,377, filed on Apr. 16, 2008.
`
`2003/0044025 Al
`2003/0228023 Al
`2007 /0003082 Al
`2007/0121974 Al
`2009/0010450 Al
`
`3/2003 Ouyang et al.
`12/2003 Burnett et al.
`1/2007 Pedersen
`5/2007 Nemirovski
`1/2009 Burnett
`
`OTHER PUBLICATIONS
`
`(51)
`
`(2013.01)
`(2006.01)
`(2006.01)
`(2013.01)
`
`Int. Cl.
`Gl0L 2110208
`H04R 1140
`H04R 3/04
`Gl0L 21/0216
`(52) U.S. Cl.
`CPC ............. H04R 3/002 (2013.01); H04R 3/005
`(2013.01); H04R 3/04 (2013.01); Gl0L
`2021/02165 (2013.01); H04R 2460/01
`(2013.01)
`
`( 58) Field of Classification Search
`CPC ...... H04R 2460/01; Gl0L 2021/02165; Gl0L
`21/0208
`USPC ................... 381/92, 94.7; 704/233, E21.004
`See application file for complete search history.
`
`(56)
`
`References Cited
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`8,068,619 B2 *
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`mark Office dated Aug. 18, 2008 for U.S. Appl. No. 10/400,282.
`
`* cited by examiner
`
`- 2 -
`
`
`
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`- 3 -
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`
`
`U.S. Patent
`
`Sep.14,2021
`
`Sheet 2 of 17
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`US 11,122,357 B2
`
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`
`Output
`V
`FIG-*3
`
`- 4 -
`
`
`
`U.S. Patent
`U.S. Patent
`
`Sep.14,2021
`Sep. 14, 2021
`
`Sheet 3 of 17
`Sheet 3 of 17
`
`US 11,122,357 B2
`US 11,122,357 B2
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`- 5 -
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`
`
`U.S. Patent
`
`Sep.14,2021
`
`Sheet 4 of 17
`
`US 11,122,357 B2
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`U.S. Patent
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`Sep.14,2021
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`
`
`
`U.S. Patent
`
`Sep.14,2021
`
`Sheet 6 of 17
`
`US 11,122,357 B2
`
`Receive acoustic signals at a first physical
`microphone and a second physical microphone.
`
`--'''\.----704
`
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`
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`
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`second physical microphone.
`!
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`of first microphone signal and second microphone signal.
`4 .
`. Form second virtual microphone using se-cond combination __
`··'<-.---70 8
`of first microphone signal and second microphone signal,
`!
`Generate denoised output signals having less
`acoustic noise than received acoustic signals,
`FIG.7
`
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`
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`-·-,
`·---1
`
`-
`
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`physical microphone and second physical microphone.
`!
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`microphone and second virtual microphone using
`signals from physical microphone array.
`800 -----~ft
`
`-
`
`- 8 -
`
`
`
`U.S. Patent
`U.S. Patent
`
`Sep. 14, 2021
`Sep.14,2021
`
`Sheet 7 of 17
`Sheet 7 of 17
`
`US 11,122,357 B2
`US 11,122,357 B2
`
`Linear response of V2 fo a speech source at 0.10 meters 240 80
`
`240
`
`60
`
`30
`
`270
`
`- 9 -
`
`
`
`U.S. Patent
`U.S. Patent
`
`Sep. 14, 2021
`Sep.14,2021
`
`Sheet 8 of 17
`Sheet 8 of 17
`
`US 11,122,357 B2
`US 11,122,357 B2
`
`Linear response of V1 to a speech source at 0.10 meters
`
`FIG&12
`
`270
`
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`
`-10 -
`
`- 10 -
`
`
`
`U.S. Patent
`
`Sep.14,2021
`
`Sheet 9 of 17
`
`US 11,122,357 B2
`
`Linear re:sponse of Vl to a speech source at 0.1 meters
`
`30
`
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`
`- 11 -
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`
`
`U.S. Patent
`
`Sep.14,2021
`
`Sheet 10 of 17
`
`US 11,122,357 B2
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`
`- 12 -
`
`
`
`U.S. Patent
`
`Sep.14,2021
`
`Sheet 11 of 17
`
`US 11,122,357 B2
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`
`- 13 -
`
`
`
`U.S. Patent
`
`Sep.14,2021
`
`Sheet 12 of 17
`
`US 11,122,357 B2
`
`<
`
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`U.S. Patent
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`Sep.14,2021
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`Sheet 13 of 17
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`US 11,122,357 B2
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`
`U.S. Patent
`
`Sep.14,2021
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`Sheet 14 of 17
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`US 11,122,357 B2
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`U.S. Patent
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`Sep. 14,2021
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`Sheet 15 of 17
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`US 11,122,357 B2
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`Sep.14,2021
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`Sheet 16 of 17
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`US 11,122,357 B2
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`
`
`U.S. Patent
`
`Sep.14,2021
`
`Sheet 17 of 17
`
`US 11,122,357 B2
`
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`- 19 -
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`
`
`US 11,122,357 B2
`
`1
`FORMING VIRTUAL MICROPHONE
`ARRAYS USING DUAL OMNIDIRECTIONAL
`MICROPHONE ARRAY (DOMA)
`
`CROSS-REFERENCE TO RELATED
`APPLICATIONS
`
`2
`acoustic noise. The technology supporting the Jawbone is
`currently described under one or more of U.S. Pat. No.
`7,246,058 by Burnett and/or U.S. patent application Ser.
`Nos. 10/400,282, 10/667,207, and/or 10/769,302. Generally,
`5 multi-microphone techniques make use of an acoustic-based
`Voice Activity Detector (VAD) to determine the background
`noise characteristics, where "voice" is generally understood
`to include human voiced speech, unvoiced speech, or a
`combination of voiced and unvoiced speech. The Jawbone
`10 improved on this by using a microphone-based sensor to
`construct a VAD signal using directly detected speech vibra-
`tions in the user's cheek. This allowed the Jawbone to
`aggressively remove noise when the user was not producing
`speech. However, the Jawbone uses a directional micro-
`phone array.
`
`This application is a continuation of U.S. Nonprovisional
`patent application Ser. No. 12/139,333, filed Jun. 13, 2008,
`now U.S. Pat. No. 8,503,691, entitled "Forming Virtual
`Microphone Arrays Using Dual Onmidirectional Micro-
`phone Array (DOMA)," which claims the benefit of U.S.
`Provisional Patent Application No. 60/934,551, filed Jun.
`13, 2007, U.S. Provisional Patent Application No. 60/953,
`444, filed Aug. 1, 2007, U.S. Provisional Patent Application 15
`No. 60/954,712, filed Aug. 8, 2007, and U.S. Provisional
`Patent Application No. 61/045,377, filed Apr. 16, 2008, all
`of which are incorporated by reference herein in their
`entirety for all purposes.
`
`INCORPORATION BY REFERENCE
`
`20
`
`Each patent, patent application, and/or publication men-
`tioned in this specification is herein incorporated by refer-
`ence in its entirety to the same extent as if each individual
`patent, patent application, and/or publication was specifi-
`cally and individually indicated to be incorporated by ref-
`25 erence.
`
`BRIEF DESCRIPTION OF THE DRAWINGS
`
`TECHNICAL FIELD
`
`The disclosure herein relates generally to noise suppres-
`sion. In particular, this disclosure relates to noise suppres-
`sion systems, devices, and methods for use in acoustic
`applications.
`
`BACKGROUND
`
`40
`
`Conventional adaptive noise suppression algorithms have
`been around for some time. These conventional algorithms
`have used two or more microphones to sample both an
`(unwanted) acoustic noise field and the (desired) speech of
`a user. 20 The noise relationship between the microphones
`is then determined using an adaptive filter (such as Least-
`Mean-Squares as described
`in Haykin & Widrow,
`ISBN#0471215708, Wiley, 2002, but any adaptive or sta-
`tionary system identification algorithm may be used) and
`that relationship used to filter the noise from the desired
`signal.
`Most conventional noise suppression systems currently in
`use for speech communication systems are based on a
`single-microphone spectral subtraction
`technique
`first
`develop in the 1970's and described, for example, by S. F.
`Boll in "Suppression of Acoustic Noise in Speech using
`Spectral Subtraction," IEEE Trans. on ASSP, pp. 113-120,
`1979. These techniques have been refined over the years, 30
`but the basic principles of operation have remained the
`same. See, for example, U.S. Pat. No. 5,687,243 of
`McLaughlin, et al., and U.S. Pat. No. 4,811,404 ofVilmur, 50
`et al. There have also been several attempts at multi-
`microphone noise suppression systems, such as those out-
`lined in U.S. Pat. No. 5,406,622 of Silverberg et al. and U.S.
`Pat. No. 5,463,694 of Bradley et al. Multi-microphone
`systems have not been very successful for a variety of 55
`reasons, the most compelling being poor noise cancellation
`performance and/or significant speech distortion. Primarily,
`conventional multi-microphone systems attempt to increase
`the SNR of the user's speech by "steering" the nulls of the
`system to the strongest noise sources. This approach is 60
`limited in the number of noise sources removed by the
`number of available nulls.
`The Jawbone earpiece (referred to as the "Jawbone),
`introduced in December 2006 by AliphCom of San Fran-
`cisco, Calif., was the first known commercial 10 product to
`use a pair of physical directional microphones (instead of
`onmidirectional microphones) to reduce environmental
`
`FIG. 1 is a two-microphone adaptive noise suppression
`30 system, under an embodiment.
`FIG. 2 is an array and speech source (S) configuration,
`under an embodiment. The microphones are separated by a
`distance approximately equal to 2d0 , and the speech source
`is located a distance ds away from the midpoint of the array
`35 at an angle 8. The system is axially symmetric so only ds and
`8 need be specified.
`FIG. 3 is a block diagram for a first order gradient
`microphone using two onmidirectional elements 0 1 and 0 2 ,
`under an embodiment.
`FIG. 4 is a block diagram for a DOMA including two
`physical microphones configured to form two virtual micro-
`phones V 1 and V 2 , under an embodiment.
`FIG. 5 is a block diagram for a DOMA including two
`physical microphones configured to form N virtual micro-
`45 phones V 1 through V N, where N is any number greater than
`one, under an embodiment.
`FIG. 6 is an example of a headset or head-worn device
`that includes the DOMA, as described herein, under an
`embodiment.
`FIG. 7 is a flow diagram for denoising acoustic signals
`using the DOMA, under an embodiment.
`FIG. 8 is a flow diagram for forming the DOMA, under
`an embodiment.
`FIG. 9 is a plot of linear response of virtual microphone
`V 2 to a 1 kHz speech source at a distance of0.1 m, under an
`embodiment. The null is at O degrees, where the speech is
`normally located.
`FIG. 10 is a plot of linear response of virtual microphone
`V 2 to a 1 kHz noise source at a distance of 1.0 m, under an
`embodiment. There is no null and all noise sources are
`detected.
`FIG. 11 is a plot of linear response of virtual microphone
`V 1 to a 1 kHz speech source at a distance of0.1 m, under an
`embodiment. There is no null and the response for speech is
`65 greater than that shown in FIG. 9.
`FIG. 12 is a plot of linear response of virtual microphone
`V 1 to a 1 kHz noise source at a distance of 1.0 m, under an
`
`- 20 -
`
`
`
`3
`embodiment. There is no null and the response is very
`similar to V2 shown in FIG. 10.
`FIG. 13 is a plot oflinear response of virtual microphone
`V 1 to a speech source at a distance of0.1 m for frequencies
`of 100, 500, 1000, 2000, 3000, and 4000 Hz, under an
`embodiment.
`FIG. 14 is a plot showing comparison of frequency
`responses for speech for the array of an embodiment and for
`a conventional cardioid microphone.
`FIG. 15 is a plot showing speech response for V 1 (top,
`dashed) and V 2 (bottom, solid) versus B with ds assumed to
`be 0.1 m, under an embodiment. The spatial null in V2 is
`relatively broad.
`FIG. 16 is a plot showing a ratio of V 1N 2 speech 15
`responses shown in FIG. 10 versus B, under an embodiment.
`The ratio is above 10 dB for all 0.8<8<1.1. This means that
`the physical ~ of the system need not be exactly modeled for
`good performance.
`FIG. 17 is a plot ofB versus actual ds assuming that ds =10
`cm and theta=0, under an embodiment.
`FIG. 18 is a plot of B versus theta with ds=l0 cm and
`assuming ds=l0 cm, under an embodiment.
`FIG. 19 is a plot of amplitude (top) and phase (bottom)
`response of N(s) with B=l and D=-7.2 µsec, under an
`embodiment. The resulting phase difference clearly affects
`high frequencies more than low.
`FIG. 20 is a plot of amplitude (top) and phase (bottom)
`response of N(s) with B=l.2 and D=-7.2 µsec, under an
`embodiment. Non-unity B affects the entire frequency range.
`FIG. 21 is a plot of amplitude (top) and phase (bottom)
`response of the effect on the speech cancellation in V 2 due
`to a mistake in the location of the speech source with q 1 =0
`degrees and q2=30 degrees, under an embodiment. The
`cancellation remains below -10 dB for frequencies below 6
`kHz.
`FIG. 22 is a plot of amplitude (top) and phase (bottom)
`response of the effect on the speech cancellation in V 2 due
`to a mistake in the location of the speech source with q 1 =0
`degrees and q2=45 degrees, under an embodiment. The
`cancellation is below -10 dB only for frequencies below
`about 2.8 kHz and a reduction in performance is expected.
`FIG. 23 shows experimental results for a 2d0=19 mm
`array using a linear~ of0.83 on a Brue! and Kjaer Head and
`Torso Simulator (HATS) in very loud (-85 dBA) music/ 45
`speech noise environment, under an embodiment. The noise
`has been reduced by about 25 dB and the speech hardly
`affected, with no noticeable distortion.
`
`SUMMARY OF THE INVENTION
`
`The present invention provides for dual onmidirectional
`microphone array devices systems and methods.
`In accordance with on embodiment, a microphone array is
`formed with a first virtual microphone that includes a first
`combination of a first microphone signal and a second
`microphone signal, wherein the first microphone signal is
`generated by a first physical microphone and the second
`microphone signal is generated by a second physical micro-
`phone; and a second virtual microphone that includes a
`second combination of the first microphone signal and the
`second microphone signal, wherein the second combination
`is different from the first combination. The first virtual
`microphone and the second virtual microphone are distinct
`virtual directional microphones with substantially similar
`responses to noise and substantially dissimilar responses to
`speech.
`
`US 11,122,357 B2
`
`4
`In accordance with another embodiment, a microphone
`array is formed with a first virtual microphone formed from
`a first combination of a first microphone signal and a second
`microphone signal, wherein the first microphone signal is
`5 generated by a first onmidirectional microphone and the
`second microphone signal is generated by a second omni-
`directional microphone; and a second virtual microphone
`formed from a second combination of the first microphone
`signal and the second microphone signal, wherein the sec-
`10 ond combination is different from the first combination. The
`first virtual microphone has a first linear response to speech
`that has a single null oriented in a direction toward a source
`of the speech, wherein the speech is human speech.
`In accordance with another embodiment, a device
`includes a first microphone outputting a first microphone
`signal and a second microphone outputting a second micro-
`phone signal; and a processing component coupled to the
`first microphone signal and the second microphone signal,
`the processing component generating a virtual microphone
`20 array comprising a first virtual microphone and a second
`virtual microphone, wherein the first virtual microphone
`comprises a first combination of the first microphone signal
`and the second microphone signal, and wherein the second
`virtual microphone comprises a second combination of the
`25 first microphone signal and the second microphone signal.
`The second virtual microphone have substantially similar
`responses to noise and substantially dissimilar responses to
`speech.
`In accordance with another embodiment, a devise
`30 includes a first microphone outputting a first microphone
`signal and a second microphone ou