`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 1 of 45
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`EXHIBIT 6
`EXHIBIT 6
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 2 of 45
`case 62-0000A08, os.amgHHA
`
`US008467543B2
`
`a2) United States Patent
`US 8,467,543 B2
`(0) Patent No.:
`*Jun. 18, 2013
`(45) Date of Patent:
`Burnett et al.
`
`(54)
`
`(75)
`
`MICROPHONEAND VOICE ACTIVITY
`
`DETECTION (VAD) CONFIGURATIONS FOR
`USE WITH COMMUNICATION SYSTEMS
`
`Inventors: Gregory C. Burnett, Livermore, CA
`(US); Nicolas J. Petit, San Francisco,
`CA (US); Alexander M.Asseily, San
`Francisco, CA (US); Andrew E.
`Einaudi, San Francisco, CA (US)
`
`(73)
`
`Assignee: AliphCom, San Francisco, CA (US)
`
`Notice:
`
`Subject to any disclaimer, the term ofthis
`patent is extended or adjusted under 35
`U.S.C. 154(b) by 977 days.
`
`This patent is subject to a terminal dis-
`claimer.
`
`(21)
`
`Appl. No.: 10/400,282
`
`(22)
`
`Filed:
`
`Mar.27, 2003
`
`(65)
`
`(60)
`
`(51)
`
`(52)
`
`(58)
`
`Prior Publication Data
`
`US 2003/0228023 Al
`
`Dec. 11, 2003
`
`Related U.S. Application Data
`
`Provisional application No. 60/368,209, filed on Mar.
`27, 2002.
`
`Int. Cl.
`
`HO04B 15/00
`US. Cl.
`
`(2006.01)
`
`USPC on. 381/94.1; 381/92; 381/94.3; 381/94.7;
`704/226; 704/233
`
`Field of Classification Search
`USPC woe 381/94.7, 71.6, 110, 71.7, 111, 11,
`381/91—92, 94.1-94.3; 704/226, 233
`See application file for complete search history.
`
`(56)
`
`References Cited
`
`U.S. PATENT DOCUMENTS
`
`3,789,166 A
`4,006,318 A
`
`1/1974 Sebesta
`2/1977 Sebestaet al.
`
`(Continued)
`FOREIGN PATENT DOCUMENTS
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`(Continued)
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`ZhaoLi et al: “Robust Speech Coding Using Microphone Arrays”,
`Signals Systems and Computers, 1997. Conf. record of3 1st Asilomar
`Conf., Nov. 2-5, 1997, IEEE Comput. Soc. Nov. 2, 1997. USA.
`
`(Continued)
`
`Primary Examiner — Disler Paul
`(74) Attorney, Agent, or Firm — Kokka & Backus, PC
`
`ABSTRACT
`(57)
`Communication systems are described, including both por-
`table handset and headset devices, which use a number of
`microphone configurations to receive acoustic signals of an
`environment. The microphone configurations include, for
`example, a two-microphone array including two unidirec-
`tional microphones, and a two-microphone array including
`one unidirectional microphone and one omnidirectional
`microphone. The communication systemsalso include Voice
`Activity Detection (VAD) devices to provide information of
`human voicing activity. Components of the communications
`systemsreceive the acoustic signals and voice activity signals
`and, in response, automatically generate control signals from
`data of the voice activity signals. Components of the commu-
`nication systems use the control signals to automatically
`select a denoising method appropriate to data of frequency
`subbands of the acoustic signals. The selected denoising
`methodis applied to the acoustic signals to generate denoised
`acoustic signals when the acoustic signal includes speech and
`noise.
`
`26 Claims, 29 Drawing Sheets
`
`106]
`
`VAD
`
`
`Voicing Information
`
`103
`
`: a
`Mic |
`m,(n)
`
`100
`
`.
`
`Cleaned Speech
`
`
`
`
`
`
`104
`
`me)
`
`—
`
`°
`
`
`
`s(n)
`
`Hz)
`
`H()
`
`n,(n)
`
`s(n)
`
`
`7
`n(n)
`
`101
`
`()
`“sa
`
`s(n
`
`102
`
`@)
`Noise
`n(n)
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 3 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 3 of 45
`
`US 8,467,543 B2
`
`Page 2
`
`bebe eneeteseseseeeeees 704/233
`
`PPPPPPEEEEPEPSPPEEEPPPEEPS *
`
`U.S. PATENT DOCUMENTS
`Iwata
`5/1986
`2/1990
`Gollmar et al.
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`Baba
`5/1993
`Ariyoshi
`10/1994
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`3/1995
`Linhard
`4/1995
`Silverberg etal.
`5/1995
`Sims,Jr.
`12/1995
`Yoshidaetal.
`bebeseneesenes 381/94.7
`5/1996
`Scanlonetal.
`5/1996
`Sugiyama
`7/1996
`Robbeetal.
`12/1996
`Park et al. cece 704/227
`4/1997
`Matouket al. 0... 379/392.01
`5/1997
`Kanamoriet al.
`TN997T
`Guptaet al.
`11/1997
`Scanlonetal.
`3/1998
`Holzrichteret al.
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`Hosoi etal.
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`Warnakaetal.
`12/1998
`Scanlon
`6/1999
`Sasakiet al.
`McEwan
`10/1999
`McEwan
`11/1999
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`Holzrichter
`12/1999
`Nagata
`5/2000
`Martin etal.
`McEwan
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`7/2001
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`.. 381/94.7
`
`12/2005
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`. 340/425.5
`4/2007
`Yang et al. vce 381/92
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`4,591,668
`4,901,354
`5,097,515
`5,212,764
`5,353,376
`5,400,409
`5,406,622
`5,414,776
`5,473,702
`5,515,865
`5,517,435
`5,539,859
`5,590,241
`5,625,684
`5,633,935
`5,649,055
`5,684,460
`5,729,694
`5,754,665
`5,835,608
`5,853,005
`5,917,921
`5,966,090
`5,986,600
`6,006,175
`6,009,396
`6,069,963
`6,191,724
`6,266,422
`6,430,295
`6,795,713
`6,963,649
`6,980,092
`7,206,418
`
`4/2002 Burnett etal.
`2002/0039425 Al
`3/2003 Ouyangetal. .........8. 381/92
`2003/0044025 Al*
`7/2003 Beaucoupetal. ............ 704/226
`2003/0130839 Al*
`FOREIGN PATENT DOCUMENTS
`0 984 660 A2
`3/2000
`2000 312 395
`11/2000
`2001 189 987
`7/2001
`WO 02 07151
`1/2002
`
`EP
`JP
`JP
`WO
`
`OTHER PUBLICATIONS
`
`L.C. Ng et al.: “Denoising of Human Speech Using Combined.
`Acoustic and EM Sensor Signal Processing”, 2000 IEEEIntl Conf on
`Acoustics Speech and Signal Processing. Proceedings (Cat. No.
`00CH37 100), Istanbul, Turkey, Jun. 5-9, 2000 XP002186255, ISBN
`0-7803-6293-4.
`S. Affes et al.: “A Signal Subspace Tracking Algorithm for Micro-
`phone Array Processing of Speech”. IEEE Transactions on Speech
`and Audio Processing, N.Y, USA vol. 5, No. 5, Sep. 1, 1997.
`XP000774303. ISBN 1063-6676.
`Gregory C. Burnett: “The Physiological Basis of Glottal Electromag-
`netic Micropower Sensors (GEMS) and Their Use in Defining an
`Excitation Function for the Human Vocal Tract”, Dissertation. Uni-
`versity of California at Davis. Jan. 1999. USA.
`Todd J. Gable etal.: “Speaker Verification Using Combined Acoustic
`and EM Sensor Signal Processing”, ICASSP-2001, Salt Lake City,
`USA.
`A. Hussain: “Intelligibility Assessment of a Multi-Band Speech
`Enhancement Scheme”, Proceedings IEEE Intl. Conf. on Acoustics,
`Speech & Signal Processing (ICASSP-2000). Istanbul, Turkey. Jun.
`2000.
`
`* cited by examiner
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 4 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 4 of 45
`
`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 1 of 29
`
`US 8,467,543 B2
`
`yooodg
`
`PDld
`
`paurayy|[eaoweyaston.|(()!LUW(u)uyswoleustg
`LOINNama
`
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`
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`
`
`UOHeULIOJUTSUIDI0A901
`
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`
`101
`
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 5 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 5 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 2 of 29
`
`US 8,467,543 B2
`
` VAD
`
`Device
`
`VAD
`Algorithm
`
`Configuration
`
`Pathfinder Noise
`Suppression
`
`
` Microphone
`
`
`
`
`
`Denoised
`Speech
`
`Communication
`Device
`
`
`
`FIG.1A
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 6 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 6 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 3 of 29
`
`US 8,467,543 B2
`
`pouray)
`
`yosads
`
`sandepy
`
`TOY
`
`weer ee ie fee ee ee KE ee ee ne ee dee eeee
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`
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`
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 7 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 7 of 45
`
`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 4 of 29
`
`US 8,467,543 B2
`
`UNIDIRECTIONAL
`
`
`
`
`
`
`
`esoo
`
`Polar
`Response
`Pattern
`
`Coverage
`Angle
`Angle of
`Maxi
`Rejection
`(aull angle)
`
`
`
`5
`
`180
`.
`
`5
`
`126
`
`;
`
`110
`
`
`
`
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`
`
`
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`
`
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`
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`
`Rejection 25dB|12dB|6dB
`(relative to front)
`
`
` Ambient Sound
`
`
`
`Sensitivity
`(relative to omni)
`
`Distance
`Factor
`
`(relative to omni)
`
`100%|33% 27% 25% 33%
`
`
`
`
`
`l
`
`1.7
`
`1.9
`
`2
`
`1.7
`
`FIG.2
`(PRIOR ART)
`
`
`
`
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 8 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 8 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 5 of 29
`
`US 8,467,543 B2
`
`300
`
`Away
`from
`Speech
`
`Towards
`Speech
`
`FIG.3A
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 9 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 9 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 6 of 29
`
`US 8,467,543 B2
`
`(INA
`
`SpIBMO|,
`
`yoseds
`
`SpJ@AO],
`
`yosads
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`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 10 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 10 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 7 of 29
`
`US 8,467,543 B2
`
`
`Headset
`
`FIG.3C
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 11 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 11 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 8 of 29
`
`US 8,467,543 B2
`
`,
`
`400
`
`UNI
`
`7”
`
`d T
`
`owards
`Speech
`
`FIG.4A
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 12 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 12 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 9 of 29
`
`US 8,467,543 B2
`
`SpeMO],
`
`yosods
`
`yoseds
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`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 13 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 13 of 45
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`U.S. Patent
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`Jun. 18, 2013
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`Sheet 10 of 29
`
`US 8,467,543 B2
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`
`
`FIG.4C
`
`Headset
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 14 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 14 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 11 of 29
`
`US 8,467,543 B2
`
`500
`
`Away
`from
`Speech
`
`Towards
`Speech
`
`FIG.SA
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 15 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 15 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 12 of 29
`
`US 8,467,543 B2
`
`Sp
`
`IMO],
`
`yosads
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`
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`
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`
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`
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`
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`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 16 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 16 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 13 of 29
`
`US 8,467,543 B2
`
`—_~
`
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`
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`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 17 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 17 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 14 of 29
`
`US 8,467,543 B2
`
`“
`
`600
`
`
`
`Towards
`Speech
`
`FIG.6A
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 18 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 18 of 45
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`U.S. Patent
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`Jun. 18, 2013
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`Sheet 15 of 29
`
`US 8,467,543 B2
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` Towards Speech
`
`END
`
`©)UNI
`
`FIG.6B
`
`Towards Speech
`
`Handset
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 19 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 19 of 45
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`U.S. Patent
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`Jun. 18, 2013
`
`Sheet 16 of 29
`
`US 8,467,543 B2
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`
`
`FIG.6C
`
`Headset
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 20 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 20 of 45
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`U.S. Patent
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`Jun. 18, 2013
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`Sheet 17 of 29
`
`US 8,467,543 B2
`
`700
`
`Away
`from
`Speech
`
`Towards
`Speech
`
`FIG.7A
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 21 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 21 of 45
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`U.S. Patent
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`Jun. 18, 2013
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`Sheet 18 of 29
`
`US 8,467,543 B2
`
`SpJEMO],
`
`yosads
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`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 22 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 22 of 45
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`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 19 of 29
`
`US 8,467,543 B2
`
`
`Awayfrom~<—
`Speech
`
`Headset
`
`FIG.7C
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 23 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 23 of 45
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`U.S. Patent
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`Jun. 18, 2013
`
`Sheet 20 of 29
`
`US 8,467,543 B2
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`“
`
`800
`
`
`
`Towards
`Speech
`
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`
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`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 24 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 24 of 45
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`US 8,467,543 B2
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`FIG.8B
`
`U.S. Patent
`
`Jun. 18, 2013
`
`Sheet 21 of 29
`
`Handset
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 25 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 25 of 45
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`U.S. Patent
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`Jun. 18, 2013
`
`Sheet 22 of 29
`
`US 8,467,543 B2
`
`Towards Speech
`
`FIG.8C
`
`Headset
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 26 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 26 of 45
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`U.S. Patent
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`Jun. 18, 2013
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`Sheet 23 of 29
`
`US 8,467,543 B2
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`900
`
`
` (Orientation Irrelevant)
`
`Towards
`Speech
`
`FIG.IA
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 27 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 27 of 45
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`U.S. Patent
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`Jun. 18, 2013
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`Sheet 24 of 29
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`US 8,467,543 B2
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`FIG.9B
`
`Handset
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 28 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 28 of 45
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`U.S. Patent
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`Jun. 18, 2013
`
`Sheet 25 of 29
`
`US 8,467,543 B2
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`
`
`
`
`FIG.IC
`
`Headset
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 29 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 29 of 45
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`U.S. Patent
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`Jun. 18, 2013
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`Sheet 26 of 29
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`US 8,467,543 B2
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` -
`
`FIG.1OA
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 30 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 30 of 45
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`U.S. Patent
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`Jun. 18, 2013
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`Sheet 27 of 29
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`US 8,467,543 B2
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`So
`oN
`So—_
`
`FIG.10B
`
`
`
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 31 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 31 of 45
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`U.S. Patent
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`Jun. 18, 2013
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`Sheet 28 of 29
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`US 8,467,543 B2
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`
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`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 32 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 32 of 45
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`U.S. Patent
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`Jun. 18, 2013
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`Sheet 29 of 29
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`US 8,467,543 B2
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`FIG.11B Accelerometer/SSM
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`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 33 of 45
`Case 6:21-cv-00984-ADA Document 55-6 Filed 05/25/22 Page 33 of 45
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`US 8,467,543 B2
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`1
`MICROPHONEAND VOICE ACTIVITY
`
`DETECTION (VAD) CONFIGURATIONS FOR
`USE WITH COMMUNICATION SYSTEMS
`
`RELATED APPLICATIONS
`
`This application claims priority from U.S. Patent Applica-
`tion No. 60/368,209, entitled MICROPHONE AND VOICE
`ACTIVITY DETECTION (VAD) CONFIGURATIONS
`FOR USE WITH PORTABLE COMMUNICATION SYS-
`TEMS, filed Mar. 27, 2002.
`Further, this applicationrelates to the following U.S. Patent
`Applications: Application Ser. No. 09/905,361, entitled
`METHOD AND APPARATUS FOR REMOVING NOISE
`
`FROM ELECTRONIC SIGNALS, filed Jul. 12, 2001; appli-
`cation Ser. No. 10/159,770, entitled DETECTING VOICED
`AND UNVOICED SPEECH USING BOTH ACOUSTIC
`
`AND NONACOUSTIC SENSORS, filed May 30, 2002;
`application Ser. No. 10/301,237, entitled METHOD AND
`APPARATUS FOR REMOVING NOISE FROM ELEC-
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`Thus, similar limitations are found in noise suppression sys-
`tems using these single-microphone VADs.
`Manylimitations of these typical single-microphone VAD
`systems were overcome with the introduction of the Path-
`finder noise suppression system by Aliph of San Francisco,
`Calif.
`(http://www.aliph.com), described in detail
`in the
`Related Applications. The Pathfinder noise suppression sys-
`tem differs from typical noise cancellation systems in several
`important ways. For example, it uses an accurate voiced activ-
`ity detection (VAD) signal along with two or more micro-
`phones, where the microphonesdetect a mix ofboth noise and
`speech signals. While the Pathfinder noise suppression sys-
`tem can be used with and integrated in a number of commu-
`nication systems and signal processing systems, so can a
`variety of devices and/or methods be used to supply the VAD
`signal. Further, a number of microphonetypes and configu-
`rations can be usedto provide acoustic signal information to
`the Pathfinder system.
`
`BRIEF DESCRIPTION OF THE FIGURES
`
`TRONIC SIGNALS,filed Nov. 21, 2002; and application Ser.
`No. 10/383,162, entitled VOICE ACTIVITY DETECTION
`(VAD) DEVICES AND METHODS FOR USE WITH
`NOISE SUPPRESSION SYSTEMS, filed Mar. 5, 2003.
`
`TECHNICAL FIELD
`
`The disclosed embodiments relate to systems and methods
`for detecting and processing a desired acoustic signal in the
`presence of acoustic noise.
`
`BACKGROUND
`
`Manynoise suppression algorithms and techniques have
`been developed overthe years. Mostof the noise suppression
`systemsin use today for speech communication systems are
`based on a single-microphonespectral 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 beenrefined overthe years, but
`the basic principles ofoperation 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, et al. Generally, these
`techniques make use of a single-microphone Voice Activity
`Detector (VAD) to determine the background noise charac-
`teristics, where “voice” is generally understood to include
`human voiced speech, unvoiced speech, or a combination of
`voiced and unvoiced speech.
`The VAD hasalso been usedin digital cellular systems. As
`an example of such a use, see U.S. Pat. No. 6,453,291 of
`Ashley, where a VAD configuration appropriate to the front-
`end of a digital cellular system is described. Further, some
`Code Division Multiple Access (CDMA) systemsutilize a
`VAD to minimize the effective radio spectrum used, thereby
`allowing for more system capacity. Also, Global System for
`Mobile Communication (GSM)systems can include a VAD
`to reduce co-channel interference and to reduce battery con-
`sumption on the client or subscriber device.
`These typical single-microphone VAD systemsare signifi-
`cantly limited in capability as a result of the analysis of
`acoustic information received by the single microphone,
`wherein the analysis is performed using typical signal pro-
`cessing techniques. In particular, limitations in performance
`of these single-microphone VAD systems are noted when
`processing signals having a low signal-to-noise ratio (SNR),
`and in settings where the background noise varies quickly.
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`FIG. 1 is a block diagram of a signal processing system
`including the Pathfinder noise removal or suppression system
`and a VAD system, under an embodiment.
`FIG. 1A is a block diagram of a noise suppression/com-
`munication system including hardware for use in receiving
`and processing signals relating to VAD,andutilizing specific
`microphoneconfigurations, under the embodimentof FIG.1.
`FIG. 1B is a block diagram ofa conventional adaptive noise
`cancellation system ofthe prior art.
`FIG. 2 is a table describing different types of microphones
`and the associated spatial responsesin theprior art.
`FIG. 3A shows a microphone configuration using a unidi-
`rectional speech microphone and an omnidirectional noise
`microphone, under an embodiment.
`FIG. 3B shows a microphone configuration in a handset
`using a unidirectional speech microphone and an omnidirec-
`tional noise microphone, under the embodiment of FIG. 3A.
`FIG. 3C shows a microphone configuration in a headset
`using a unidirectional speech microphone and an omnidirec-
`tional noise microphone, under the embodiment of FIG. 3A.
`FIG. 4A showsa microphone configuration using an omni-
`directional speech microphone and a unidirectional noise
`microphone, under an embodiment.
`FIG. 4B shows a microphone configuration in a handset
`using an omnidirectional speech microphoneand a unidirec-
`tional noise microphone, under the embodiment of FIG. 4A.
`FIG. 4C shows a microphone configuration in a headset
`using an omnidirectional speech microphoneand a unidirec-
`tional noise microphone, under the embodiment of FIG. 4A.
`FIG. 5A showsa microphone configuration using an omni-
`directional speech microphone and a unidirectional noise
`microphone,underan alternative embodiment.
`FIG. 5B shows a microphone configuration in a handset
`using an omnidirectional speech microphoneand a unidirec-
`tional noise microphone, under the embodiment of FIG. 5A.
`FIG. 5C shows a microphone configuration in a headset
`using an omnidirectional speech microphoneand a unidirec-
`tional noise microphone, under the embodiment of FIG. 5A.
`FIG. 6A shows a microphone configuration using a unidi-
`rectional speech microphone and a unidirectional noise
`microphone, under an embodiment.
`FIG. 6B shows a microphone configuration in a handset
`using a unidirectional speech microphone and a unidirec-
`tional noise microphone, under the embodimentof FIG. 6A.
`
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`US 8,467,543 B2
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`FIG. 6C shows a microphoneconfiguration in a headset
`using a unidirectional speech microphone and a unidirec-
`tional noise microphone, under the embodimentof FIG. 6A.
`FIG. 7A shows a microphoneconfiguration using a unidi-
`rectional speech microphone and a unidirectional noise
`microphone,underan alternative embodiment.
`FIG. 7B shows a microphone configuration in a handset
`using a unidirectional speech microphone and a unidirec-
`tional noise microphone, under the embodiment of FIG. 7A.
`FIG. 7C shows a microphoneconfiguration in a headset
`using a unidirectional speech microphone and a unidirec-
`tional noise microphone, under the embodiment of FIG. 7A.
`FIG. 8A shows a microphone configuration using a unidi-
`rectional speech microphone and a unidirectional noise
`microphone, under an embodiment.
`FIG. 8B shows a microphone configuration in a handset
`using a unidirectional speech microphone and a unidirec-
`tional noise microphone, under the embodimentof FIG. 8A.
`FIG. 8C shows a microphoneconfiguration in a headset
`using a unidirectional speech microphone and a unidirec-
`tional noise microphone, under the embodimentof FIG. 8A.
`FIG. 9A shows a microphone configuration using an omni-
`directional speech microphone and an omnidirectional noise
`microphone, under an embodiment.
`FIG. 9B shows a microphone configuration in a handset
`using an omnidirectional speech microphone and an omnidi-
`rectional noise microphone, under the embodiment of FIG.
`9A.
`
`FIG. 9C shows a microphoneconfiguration in a headset
`using an omnidirectional speech microphone and an omnidi-
`rectional noise microphone, under the embodiment of FIG.
`9A.
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`FIG. 10A showsan area of sensitivity on the human head
`appropriate for receiving a GEMSsensor, under an embodi-
`ment.
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`FIG. 10B shows GEMSantenna placement on a generic
`handset or headset device, under an embodiment.
`FIG. 11A showsareas of sensitivity on the human head
`appropriate for placement of an accelerometer/SSM, under
`an embodiment.
`
`FIG. 11B shows accelerometer/SSM placement on a
`generic handset or headset device, under an embodiment.
`In the drawings, the same reference numbersidentify iden-
`tical or substantially similar elements or acts. To easily iden-
`tify the discussion of any particular elementoract, the most
`significant digit or digits in a reference numberrefer to the
`Figure numberin which that elementis first introduced(e.g.,
`element 105 is first introduced and discussed with respect to
`FIG.1).
`The headings provided herein are for convenience only and
`do not necessarily affect the scope or meaning of the claimed
`invention. The following description provides specific details
`for a thorough understanding of, and enabling description for,
`embodiments ofthe invention. However, one skilled in the art
`will understand that the invention may be practiced without
`these details. In other instances, well-knownstructures and
`functions have not been shownordescribedin detail to avoid
`
`unnecessarily obscuring the description of the embodiments
`of the invention.
`
`DETAILED DESCRIPTION
`
`Numerous communication systems are described below,
`including both handset and headset devices, which use a
`variety of microphone configurations to receive acoustic sig-
`nals of an environment. The microphone configurations
`include, for example, a two-microphonearray including two
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`unidirectional microphones, and a two-microphone array
`including one unidirectional microphone and one omnidirec-
`tional microphone,but are not so limited. The communication
`systems can also include Voice Activity Detection (VAD)
`devices to provide voice activity signals that include infor-
`mation of human voicing activity. Components of the com-
`munications systems receive the acoustic signals and voice
`activity signals and, in response, automatically generate con-
`trol signals from data of the voice activity signals. Compo-
`nents ofthe communication systemsusethe control signals to
`automatically select a denoising method appropriate to data
`of frequency subbandsof the acoustic signals. The selected
`denoising methodis applied to the acoustic signals to gener-
`ate denoised acoustic signals when the acoustic signals
`include speech and noise.
`Numerous microphone configurations are described below
`for use with the Pathfinder noise suppression system. As such,
`each configuration is described in detail along with a method
`of use to reduce noise transmission in communication
`
`devices, in the context of the Pathfinder system. When the
`Pathfinder noise suppression system is referred to, it should
`be kept in mindthat noise suppression systems that estimate
`the noise waveform and subtract it from a signal and that use
`or are capable of using the disclosed microphone configura-
`tions and VAD information for reliable operation are included
`in that reference. Pathfinder is simply a convenient referenced
`implementation for a system that operates on signals com-
`prising desired speech signals along with noise. Thus, the use
`of these physical microphone configurations includes but is
`not limited to applications such as communications, speech
`recognition, and voice-feature control of applications and/or
`devices.
`The terms “speech” or “voice” as used herein generally
`refer to voiced, unvoiced, or mixed voiced and unvoiced
`human speech. Unvoiced speech or voiced speech is distin-
`guished where necessary. However, the term “speech signal”
`or “speech”, when used as a converse to noise, simply refers
`to any desired portion of a signal and does not necessarily
`have to be human speech.It could, as an example, be music or
`some other type of desired acoustic information. As used in
`the Figures, “speech”is meant to mean anysignalofinterest,
`whether human speech, music, or anything other signalthatit
`is desired to hear.
`In the same manner, “noise” refers to unwanted acoustic
`information that distorts a desired speech signal or makesit
`moredifficult to comprehend. “Noise suppression” generally
`describes any method by whichnoise is reduced or eliminated
`in an electronic signal.
`Moreover, the term “VAD”is generally defined as a vector
`or array signal, data, or information that in some manner
`represents the occurrence of speech in the digital or analog
`domain. A commonrepresentation of VAD information is a
`one-bit digital signal sampled at the samerate as the corre-
`sponding acoustic signals, with a zero value representing that
`no speech has occurred during the corresponding time
`sample, and a unity value indicating that speech has occurred
`during the corresponding time sample. While the embodi-
`ments described herein are generally describedin the digital
`domain, the descriptionsare alsovalid for the analog domain.
`The term “Pathfinder”, unless otherwise specified, denotes
`any denoising system using two or more microphones, a VAD
`device and algorithm, and which estimates the noise in a
`signal and subtracts it from that signal. The Aliph Pathfinder
`system is simply a convenient reference for this type of
`denoising system, although it is more capable than the above
`definition. In some cases (such as the microphone arrays
`described in FIGS. 8 and 9), the “full capabilities” or “full
`
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`US 8,467,543 B2
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`version”of the Aliph Pathfinder system are used(as there is a
`significant amount of speech energy in the noise micro-
`phone), and these cases will be enumeratedin the text. “Full
`capabilities” indicates the use of both H, (z) and H(z) by the
`Pathfinder system in denoising the signal. Unless otherwise
`specified, it is assumed that only H,(z) is used to denoise the
`signal.
`The Pathfinder system is a digital signal processing—
`(DSP) based acoustic noise suppression and echo-cancella-
`tion system. The Pathfinder system, which can couple to the
`front-end of speech processing systems, uses VAD informa-
`tion and received acoustic information to reduce or eliminate
`
`noise in desired acoustic signals by estimating the noise
`waveform and subtracting it from a signal including both
`speech and noise. The Pathfinder system is described further
`below andin the Related Applications.
`FIG. 1 is a block diagram ofa signal processing system 100
`including the Pathfinder noise removalor suppression system
`105 anda VAD system 106, under an embodiment. The signal
`processing system 100 includes two microphones MIC 1 103
`and MIC 2 104 that receive signals or information from at
`least one speech signal source 101 andat least one noise
`source 102. The path s(n) from the speech signal source 101
`to MIC 1 andthe path n(n) from the noise source 102 to MIC
`2 are considered to be unity. Further, H, (z) represents the path
`from the noise source 102 to MIC 1, and H,(z) represents the
`path from the speech signal source 101 to MIC 2.
`Components of the signal processing system 100, for
`example the noise removal system 105, couple to the micro-
`phones MIC 1 and MIC 2 via wireless couplings, wired
`couplings, and/or a combination of wireless and wired cou-
`plings. Likewise, the VAD system 106 couples to components
`of the signal processing system 100, like the noise removal
`system 105, via wireless couplings, wired couplings, and/or a
`combination of wireless and wired couplings. As an example,
`the VAD devices and microphonesdescribed below as com-
`ponents of the VAD system 106 can comply with the Blue-
`tooth wireless specification for wireless communication with
`other componentsofthe signal processing system,but are not
`so limited.
`FIG. 1A is a block diagram of a noise suppression/com-
`munication system including hardware for use in receiving
`and processing signals relating to VAD,andutilizing specific
`microphone configurations, under an embodiment. Referring
`to FIG. 1A, each of the embodiments described below
`includesat least two microphonesin a specific configuration
`110 and one voiced activity detection (VAD) system 130,
`which includes both a VAD device 140 and a VAD algorithm
`150, as described in the Related Applications. Note that in
`some embodiments the microphone configuration 110 and
`the VAD device 140 incorporate the same physical hardware,
`but they are not so limited. Both the microphones 110 and the
`VAD130 input informationinto the Pathfinder noise suppres-
`sion system 120 which uses the received information to
`denoise the information in the microphones and output
`denoised speech 160 into a communications device 170.
`The communications device 170 includes both handset and
`headset communication devices, but is not so limited. Hand-
`sets or handset communication devices include, but are not
`limited to, portable communication devices that
`include
`microphones, speakers, communications electronics and
`electronic transceivers, such as cellular telephones, portable
`or mobile telephones, satellite telephones, wireline tele-
`phones, Internet telephones, wireless transceivers, wireless
`communication radios, personal digital assistants (PDAs),
`and personal computers (PCs).
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`Headsetor headset communication devicesinclude, but are
`notlimitedto, self-contained devices including microphones
`and speakers generally attached to and/or worn onthe body.
`Headsets often function with handsets via couplings with the
`handsets, where the couplings can be wired, wireless, or a
`combination ofwired and wireless connections. However, the
`headsets can communicate independently with components
`of a communications network.
`The VAD device 140 includes, but is not limited to, accel-
`erometers, skin surface microphones (SSMs), and electro-
`magnetic devices, along with the associated software or algo-
`rithms. Further,
`the VAD device 140 includes acoustic
`microphones along with the associated software. The VAD
`devices and associated software are described in U.S. patent
`application Ser. No. 10/383,162, entitled VOICE ACTIVITY
`DETECTION (VAD) DEVICES AND METHODS FOR
`USE WITH NOISE SUPPRESSION SYS