`__________________________________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`__________________________________
`
`AMAZON.COM, INC.,
`Petitioner,
`
`v.
`
`JAWBONE INNOVATIONS, LLC,
`Patent Owner.
`
`IPR2023-00275
`U.S. Patent No. 8,467,543
`
`DECLARATION OF RICHARD M. STERN, Ph.D.
`IN SUPPORT OF PETITION FOR INTER PARTES REVIEW
`OF CLAIMS 1-26 OF U.S. PATENT NO. 8,467,543
`
`Sony v. Jawbone
`
`U.S. Patent No. 8,467,543
`
`Sony Ex. 1002
`
`
`
`
`
`TABLE OF CONTENTS
`
`
`
`BACKGROUND -------------------------------------------------------------- 1
`
`
`
`Experience and Qualifications --------------------------------------- 1
`
` Materials Considered -------------------------------------------------- 3
`
` APPLICABLE LEGAL STANDARDS ------------------------------------ 5
`
`
`
`Claim Construction ---------------------------------------------------- 5
`
` Obviousness ------------------------------------------------------------ 7
`
` PERSON OF ORDINARY SKILL IN THE ART ---------------------- 11
`
` TECHNOLOGY BACKGROUND --------------------------------------- 12
`
` Noise Cancellation Systems Were Known ----------------------- 12
`
`
`
`
`
`
`
`Estimating and Subtracting Noise From a Desired
`Signal Was Known ------------------------------------------ 12
`
`Noise Canceling Communications Systems with
`Microphones Oriented Toward and Away From a
`Speaker Were Known --------------------------------------- 14
`
`Noise Canceling Systems Operating in Frequency
`Sub-bands Were Known ------------------------------------ 14
`
` Detecting Voicing Activity With Non-Acoustic Sensors
`Was Known ---------------------------------------------------------- 15
`
` Using Non-Acoustic Sensors for Voice Activity Detection
`in Noise Cancellation Systems Was Known --------------------- 16
`
`
`
`THE ’543 PATENT --------------------------------------------------------- 16
`
`
`
`Summary of the ’543 Patent ---------------------------------------- 16
`
`-i-
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`
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`TABLE OF CONTENTS
`(cont’d)
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`
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`The Priority Date of the ’543 Patent ------------------------------ 18
`
` CLAIMS 1-26 OF THE ’543 PATENT WOULD HAVE BEEN
`OBVIOUS -------------------------------------------------------------------- 19
`
`
`
`Claims 1-2 and 5-7 Would Have Been Obvious in View
`of Burnett ’919 and Hussain --------------------------------------- 19
`
`
`
`
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`
`
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`
`
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`Overview of Burnett ’919 ----------------------------------- 19
`
`Overview of Hussain ---------------------------------------- 21
`
`Claim 1 -------------------------------------------------------- 22
`
`
`
`
`
`
`
`1: Preamble -------------------------------------------- 22
`
`1[a]: Voice Detection Subsystem ------------------ 22
`
`1[b]: Denoising Subsystem ------------------------- 25
`
`
`
`
`
`
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`
`
`
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`1[b][1]: Microphone Array ------------------ 26
`
`1[b][2]: First Microphone ------------------- 27
`
`1[b][3]: Second Microphone ---------------- 28
`
`1[b][4]: Generating Denoised Output ------ 30
`
`1[b][5]: Using a Frequency Sub-band
`Method ----------------------------------------- 32
`
`(a) Motivation to Combine Burnett
`’919 with Hussain --------------------- 34
`
`
`
`1[c]: Independent VAD Sensor --------------------- 37
`
`Claim 2 -------------------------------------------------------- 38
`
`Claim 5 -------------------------------------------------------- 40
`
`-ii-
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`TABLE OF CONTENTS
`(cont’d)
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`
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`Claim 6 -------------------------------------------------------- 41
`
`Claim 7 -------------------------------------------------------- 42
`
`
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`Claims 1-2, 5-13, and 26 Would Have Been Obvious in
`View of Burnett ’919, Hussain, and Andrea --------------------- 42
`
`
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`
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`
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`Overview of Andrea ----------------------------------------- 42
`
`Claim 1 -------------------------------------------------------- 45
`
`
`
`
`
`
`
`1: Preamble -------------------------------------------- 45
`
`1[a]: Voice Detection Subsystem ------------------ 45
`
`1[b]: Denoising Subsystem ------------------------- 46
`
`
`
`
`
`
`
`
`
`
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`1[b][1]: Microphone Array ------------------ 46
`
`1[b][2]: First Microphone ------------------- 47
`
`1[b][3]: Second Microphone ---------------- 50
`
`1[b][4]: Generating Denoised Output ------ 52
`
`1[b][5]: Using a Frequency Sub-band
`Method ----------------------------------------- 53
`
`
`
`1[c]: Independent VAD Sensor --------------------- 53
`
` Motivation to Combine Burnett ’919 with
`Andrea ------------------------------------------------- 54
`
`Claim 2 -------------------------------------------------------- 57
`
`Claim 5 -------------------------------------------------------- 57
`
`Claim 6 -------------------------------------------------------- 57
`
`-iii-
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`TABLE OF CONTENTS
`(cont’d)
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`Claim 7 -------------------------------------------------------- 60
`
`Claim 8 -------------------------------------------------------- 60
`
`Claim 9 -------------------------------------------------------- 63
`
`Claim 10 ------------------------------------------------------- 65
`
` Claim 11 ------------------------------------------------------- 65
`
` Claim 12 ------------------------------------------------------- 67
`
` Claim 13 ------------------------------------------------------- 68
`
` Claim 26 ------------------------------------------------------- 70
`
`
`
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`
`
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`
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`26: Preamble ------------------------------------------ 70
`
`26[a]: Voice Detection Subsystem ----------------- 70
`
`26[b]: Denoising Subsystem ------------------------ 70
`
`
`
`
`
`26[b][1]-[3]: Microphone Array, First
`Microphone, and Second Microphone ----- 71
`
`26[b][4]-[5]: Generating Denoised
`Output and Using a Frequency Sub-
`band Method ---------------------------------- 71
`
`26[c]: Independent VAD Sensor ------------------- 72
`
`26[d]: Portable Headset ------------------------------ 72
`
`
`
`Claims 14-25 Would Have Been Obvious in View of
`Burnett ’919, Hussain, Optionally Andrea, and Sasaki --------- 73
`
`
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`
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`Claim 14 ------------------------------------------------------- 73
`
`Claim 15 ------------------------------------------------------- 77
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`-iv-
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`TABLE OF CONTENTS
`(cont’d)
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`Claim 16 ------------------------------------------------------- 78
`
`Claim 17 ------------------------------------------------------- 79
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`Claim 18 ------------------------------------------------------- 79
`
`Claim 19 ------------------------------------------------------- 80
`
`Claim 20 ------------------------------------------------------- 81
`
`Claim 21 ------------------------------------------------------- 81
`
`Claim 22 ------------------------------------------------------- 82
`
` Claim 23 ------------------------------------------------------- 82
`
` Claim 24 ------------------------------------------------------- 82
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` Claim 25 ------------------------------------------------------- 84
`
`
`
`
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`Claim 3 Would Have Been Obvious in View of Burnett
`’919, Hussain, Optionally Andrea, and Puthuff ----------------- 84
`
`
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`Claim 3 -------------------------------------------------------- 84
`
` Motivation to Combine Burnett ’919 with Puthuff ------ 86
`
`Claim 4 Would Have Been Obvious in View of Burnett
`’919, Hussain, Optionally Andrea, and Alcivar ----------------- 88
`
`
`
`Claim 4 -------------------------------------------------------- 89
`
` Motivation to Combine Burnett ’919 with Alcivar ------ 90
`
` SECONDARY CONSIDERATIONS OF NONOBVIOUSNESS ---- 92
`
` CONCLUSION -------------------------------------------------------------- 92
`
`-v-
`
`
`
`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
`I, Richard M. Stern, Ph.D., do hereby declare:
`
`1.
`
`I am making this declaration at the request of Petitioner Amazon.com,
`
`Inc. (“Amazon”). I have been retained by Amazon as a technical expert in this
`
`matter.
`
`2.
`
`I am being compensated for my work on this case. My compensation
`
`does not depend on the content of this Declaration or the outcome of these
`
`proceedings. I do not own any stock in Amazon and, to my knowledge, I have no
`
`financial interest in Amazon.
`
`
`
`BACKGROUND
`
` Experience and Qualifications
`
`3.
`
`I am a Professor at Carnegie Mellon University in the Department of
`
`Electrical and Computer Engineering, the Department of Computer Science, and the
`
`Language Technologies Institute. I have been on the faculty of Carnegie Mellon
`
`since 1977.
`
`4.
`
`I received the S.B. degree from the Massachusetts Institute of
`
`Technology (MIT) in 1970, the M.S. from the University of California, Berkeley, in
`
`1972, and the Ph.D. from MIT in 1977, all in electrical engineering.
`
`5.
`
`I am a fellow of the Institute of Electrical and Electronics Engineers
`
`(IEEE), the Acoustical Society of America, and the International Speech
`
`Communication Association (ISCA). I was the ISCA 2008-2009 Distinguished
`
`-1-
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`
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
`
`
`
`Lecturer, a recipient of the Allen Newell Award for Research Excellence in 1992,
`
`and I served as the General Chair of Interspeech 2006. Interspeech is the world’s
`
`largest technical conference focused on speech processing and application.
`
`6. Much of my current research is in spoken language systems, where I
`
`am particularly concerned with the development of techniques with which automatic
`
`speech recognition can be made more robust with respect to changes in environment
`
`and acoustical ambience.
`
`7.
`
`I have actively worked on the theory and application of systems using
`
`microphone arrays over a period of decades (e.g., Stern et al., 2008; Stern and
`
`Menon, 2020), and my research group has developed several array-based algorithms
`
`to improve speech recognition accuracy in difficult acoustical environments (e.g.,
`
`Seltzer et al., 2004; Stern et al., 2007; Kim et al., 2009; Moghimi and Stern, 2019).
`
`I have also actively worked on the theory and application of systems to accomplish
`
`voice activity detection for more than twenty years. Most recently, my students
`
`developed the system that provided best performance worldwide in the 2021
`
`Fearless Steps Phase-03 Speech Activity Detection (SAD) Challenge, which was
`
`organized and run by the University of Texas, Dallas (Vuong et al., 2021). My
`
`relevant publications, including those cited above, are available on Carnegie
`
`Mellon’s web site at http://www.cs.cmu.edu/afs/cs/user/robust/www/papers.html.
`
`-2-
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
`
`
`
`8.
`
`I understand a copy of my current curriculum vitae, which lists my
`
`publications for the last ten years, is being submitted as Exhibit 1028.
`
` Materials Considered
`
`9.
`
`In preparing this Declaration, I have considered the following
`
`materials:
`
`Exhibit No.
`
`1001
`
`1003
`
`1004
`
`1005
`
`1006
`
`1007
`
`1008
`
`1009
`
`1010
`
`1011
`
`Description
`
`U.S. Patent No. 8,467,543 (“the ‘543 patent”)
`
`U.S. Patent No. 6,377,919 (“Burnett ’919”)
`
`U.S. Patent No. 5,825,897 (“Andrea”)
`
`U.S. Patent No. 5,471,538 (“Sasaki”)
`
`Amir Hussain et al., A New Metric for Selecting Sub-Band Pro-
`cessing in Adaptive Speech Enhancement Systems, Proc. 5th Eur.
`Conf. on Speech Comm’n and Tech. (Eurospeech ’97) 2611-14
`(“Hussain”)
`
`International Patent Publication No. WO2000/021194 (“Puthuff”)
`
`U.S. Patent No. 3,746,789 (“Alcivar”)
`
`U.S. Patent No. 6,006,175 (“Holzrichter ’175”)
`
`U.S. Patent No. 5,729,694 (“Holzrichter ’694”)
`
`Bernard Widrow et al., Adaptive Noise Cancelling: Principles and
`Applications, 63 Proc. IEEE 12 (1975) (“Widrow 1975”)
`
`-3-
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
`
`
`
`Exhibit No.
`
`Description
`
`Bernard Widrow et al., Adaptive Signal Processing (1985)
`(“Widrow 1985”)
`
`U.S. Patent No. 4,177,430 (“Paul”)
`
`U.S. Patent No. 4,589,137 (“Miller”)
`
`U.S. Patent No. 4,912,767 (“Chang”)
`
`U.S. Patent No. 4,956,838 (“Gilloire”)
`
`U.S. Patent No. 5,566,167 (“Duttweiler”)
`
`European Patent No. EP0615340B1 (“Dennis”)
`
`Kenneth N. Stevens et al., The Use of Miniature Accelerometer
`for Detecting Glottal Waveforms and Nasality (1974) (“Stevens”)
`
`Vishu R. Viswanathan et al., Noise-Immune Speech Transduction
`Using Multiple Sensors, Proc. 1985 Int’l Conf. on Acoustics,
`Speech, and Signal Processing (ICASSP ’85) 712-15 (“Viswana-
`than 1985”)
`
`Vishu R. Viswanathan & Claudia M. Henry, Noise-Immune Multi-
`sensor Speech Input: Formal Subjective Testing in Operational
`Conditions, Proc. 1989 Int’l Conf. on Acoustics, Speech, and Sig-
`nal Processing (ICASSP ’89) 373-76 (“Viswanathan 1989”)
`
`Excerpts from the ’543 patent’s file history
`
`1012
`
`1013
`
`1014
`
`1015
`
`1016
`
`1017
`
`1018
`
`1019
`
`1020
`
`1021
`
`1022
`
`
`10.
`
`I have also relied on my education, training, and experience, and my
`
`knowledge of pertinent literature in the field of the ’543 patent.
`
`-4-
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
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`
`
` APPLICABLE LEGAL STANDARDS
`
`11.
`
`I have been asked to provide my opinion as to whether the claims of the
`
`’543 patent would have been obvious to a person of ordinary skill in the art at the
`
`time of the alleged invention, in view of the prior art.
`
`12.
`
`I am an electrical engineer by training and profession. The opinions I
`
`am expressing in this report involve the application of my training and technical
`
`knowledge and experience to the evaluation of certain prior art with respect to the
`
`’543 patent.
`
`13. Although I have been involved as a technical expert in patent matters
`
`before, I am not an expert in patent law. Therefore, the attorneys from Knobbe,
`
`Martens, Olson & Bear, LLP have provided me with guidance as to the applicable
`
`patent law in this matter. The paragraphs below express my understanding of how I
`
`must apply current principles related to patent validity to my analysis.
`
` Claim Construction
`
`14.
`
`It is my understanding that in determining whether a patent claim is
`
`obvious in view of the prior art, the Patent Office construes the claim by giving the
`
`claim terms their plain and ordinary meaning, as they would have been understood
`
`by a person of ordinary skill in the art at the time of the invention in view of the
`
`intrinsic record (patent specification and file history). For the purposes of this
`
`review, and to the extent necessary, I have interpreted each claim term in accordance
`
`-5-
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
`
`
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`with its plain and ordinary meaning as it would have been understood by a person of
`
`ordinary skill in the art at the time of the invention, in view of the intrinsic record. I
`
`have been instructed that the time of the invention is March 27, 2002, which I
`
`understand to be the earliest claimed priority date of the ’543 patent.
`
`15.
`
`I understand that a patent and its prosecution history are considered
`
`“intrinsic evidence” and are the most important sources for interpreting claim
`
`language in a patent. I also understand that in reading the claim, I must not import
`
`limitations from the specification into the claim terms; in other words, I must not
`
`narrow the scope of the claim terms by implicitly adding disclosed limitations that
`
`have no express basis in the claims. The prosecution history of related patents and
`
`applications can also be relevant.
`
`16.
`
`I understand that sources extrinsic to a patent and its prosecution history
`
`(such as dictionary definitions and technical publications) may also be used to help
`
`interpret the claim language, but that such extrinsic sources cannot be used to
`
`contradict the unambiguous meaning of the claim language that is evident from the
`
`intrinsic evidence.
`
`17. Unless expressly stated herein, I have applied the plain and ordinary
`
`meaning of the claim terms, which I understand is the meaning that a person of
`
`ordinary skill in the art would have given to terms in March 2002, based on a review
`
`of the intrinsic evidence.
`
`-6-
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
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`
`
` Obviousness
`
`18.
`
`It is my understanding that a claim is “obvious” if the claimed subject
`
`matter as a whole would have been obvious to a person of ordinary skill in the art at
`
`the time of the alleged invention. I understand that an obviousness analysis involves
`
`a number of considerations. I understand that the following factors must be
`
`evaluated to determine whether a claim would have been obvious: (i) the scope and
`
`content of the prior art; (ii) the differences, if any, between each claim of the ’543
`
`patent and the prior art; (iii) the level of ordinary skill in the art in March 2002; and
`
`(iv) additional considerations, if any, that indicate that the invention was obvious or
`
`not obvious. I understand that these “additional considerations” are often referred
`
`to as “secondary considerations” of non-obviousness or obviousness.
`
`19.
`
`I also understand that the frame of reference when evaluating
`
`obviousness is what a hypothetical person of ordinary skill in the pertinent art would
`
`have known in March 2002. I understand that the hypothetical person of ordinary
`
`skill is presumed to have knowledge of all pertinent prior art references.
`
`20.
`
`I understand that a prior art reference may be a pertinent prior art
`
`reference (or “analogous art”) if it is in the same field of endeavor as the patent or if
`
`it is pertinent to the problem that the inventors were trying to solve. A reference is
`
`reasonably pertinent if it logically would have commended itself to an inventor’s
`
`attention in considering the problem at hand. If a reference relates to the same
`
`-7-
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
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`problem as the claimed invention, that supports use of the reference as prior art in
`
`an obviousness analysis. Here, all of the references relied on in my obviousness
`
`analysis below are in the same field of endeavor as the ’543 patent, e.g., signal
`
`capture and processing in speech or audio applications. The references are also
`
`pertinent to a particular problem the inventor was focused on, e.g., noise reduction.
`
`21.
`
`It is my understanding that the law recognizes several rationales for
`
`combining references or modifying a reference to show obviousness of claimed
`
`subject matter. Some of these rationales include:
`
`• combining prior art elements according to known methods to yield predictable
`
`results;
`
`• simple substitution of one known element for another to obtain predictable
`
`results;
`
`• a predictable use of prior art elements according to their established functions;
`
`• using known techniques to improve similar devices (methods, or products) in
`
`the same way;
`
`• applying a known technique to a known device (method, or product) ready for
`
`improvement to yield predictable results;
`
`• choosing from a finite number of identified, predictable solutions, with a rea-
`
`sonable expectation of success (in which case a claim would have been obvi-
`
`ous to try);
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`-8-
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
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`• known work in one field of endeavor may prompt variations of it for use in
`
`either the same field or a different one based on design incentives or other
`
`market forces if the variations would have been predictable to one of ordinary
`
`skill in the art; and
`
`• some teaching, suggestion, or motivation in the prior art that would have led
`
`one of ordinary skill to modify the prior art reference or to combine prior art
`
`reference teachings to arrive at the claimed invention.
`
`22.
`
`I understand that “secondary considerations” must be considered as part
`
`of the obviousness analysis when present. I further understand that the secondary
`
`considerations may include: (1) a long-felt but unmet need in the prior art that was
`
`satisfied by the claimed invention; (2) the failure of others; (3) skepticism by experts;
`
`(4) commercial success of a product covered by the patent; (5) unexpected results
`
`achieved by the claimed invention; (6) industry praise of the claimed invention; (7)
`
`deliberate copying of the invention; and (8) teaching away by others. I also
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`understand that evidence of the independent and nearly simultaneous “invention” of
`
`the claimed subject matter by others is a secondary consideration supporting an
`
`obviousness determination and may support a conclusion that a claimed invention
`
`was within the knowledge of a person of ordinary skill as of March 2002. I am not
`
`aware of any evidence of secondary considerations that would suggest that the
`
`claims of the ’543 patent would have been nonobvious in March 2002.
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`-9-
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
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`23.
`
`I understand that when assessing obviousness, using hindsight is
`
`impermissible; that is, what is known today or what was learned from the teachings
`
`of the patent should not be considered. The patent should not be used as a road map
`
`for selecting and combining items of prior art. Rather, obviousness must be
`
`considered from the perspective of a person of ordinary skill at the time the alleged
`
`invention was made—March 2002 in this case.
`
`24.
`
`I also understand that an obviousness analysis must consider the
`
`invention as a whole, as opposed to just a part or element of the invention. I
`
`understand this “as a whole” assessment to require showing that one of ordinary skill
`
`in the art at the time of invention, confronted by the same problems as the inventor
`
`and with no knowledge of the claimed invention, would have selected the elements
`
`from the prior art and combined them in the claimed manner.
`
`25.
`
`It is my understanding that something is “inherent in,” and therefore
`
`taught by, the prior art, if it necessarily flows from the explicit disclosure of the prior
`
`art. I understand that the fact that a certain result or characteristic may be present in
`
`the prior art is not sufficient to establish inherency. However, if the result or
`
`characteristic is necessarily present based upon the explicit disclosure in the prior
`
`art, it is inherent in the prior art and is therefore disclosed.
`
`-10-
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
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`
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` PERSON OF ORDINARY SKILL IN THE ART
`
`26.
`
`It is my understanding that when interpreting the claims of the ’543
`
`patent and evaluating whether a claim would have been obvious, I must do so based
`
`on the perspective of a person of ordinary skill in the art at the relevant priority date.
`
`I have been instructed to assume for the purposes of my opinions that the relevant
`
`priority date of the ’543 patent is March 27, 2002. However, my opinions would not
`
`change even if the ’543 patent were entitled to a priority date in July 2000.
`
`27.
`
`I understand that in determining the level of ordinary skill in the art,
`
`several factors are considered. Those factors may include: (i) the type of problems
`
`encountered in the art; (ii) prior art solutions to those problems; (iii) the rapidity with
`
`which innovations are made; (iv) the sophistication of the technology; and (v) the
`
`educational level of active workers in the field. A person of ordinary skill in the art
`
`must have the capability of understanding the scientific and engineering principles
`
`applicable to the pertinent art.
`
`28. Based on my review of the specification and claims of the ’543 patent,
`
`it is my opinion that a person of ordinary skill in the art would have had a minimum
`
`of a bachelor’s degree in computer engineering, computer science, electrical
`
`engineering, mechanical engineering, or a similar field, and approximately three
`
`years of industry or academic experience in a field related to acoustics, speech
`
`recognition, speech detection, or signal processing. Work experience could
`
`-11-
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`Amazon.com, Inc. v. Jawbone Innovations, LLC
`Declaration of Dr. Richard M. Stern – U.S. Patent No. 8,467,543
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`substitute for formal education and additional formal education could substitute for
`
`work experience.
`
`29. My conclusions below that the claims of the ’543 patent would have
`
`been obvious would remain the same even if the priority date, field of endeavor, or
`
`level of ordinary skill were slightly different.
`
`30.
`
`I meet the above definition of a person of ordinary skill in the art, and
`
`did so as of March 2002 (and as of 2000). Also, I have worked with persons of
`
`ordinary skill in the art through my professional and academic experiences, and I
`
`have an understanding of their skill level around March 2002.
`
` TECHNOLOGY BACKGROUND
`
` Noise Cancellation Systems Were Known.
`
`
`
`Estimating and Subtracting Noise From a De-
`sired Signal Was Known.
`
`31. Adaptive noise reduction systems that estimate noise and then subtract
`
`it from a speech signal have been used for decades. For example, in 1975, Widrow
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`described using a dual-microphone noise-reduction system in which a signal
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`containing noise is “adaptively filtered and subtracted from the primary input” to
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`obtain a denoised signal. (Ex. 1011 (Widrow 1975), Abstract.) That article
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`explained that noise could be reduced in a signal by “subtracting noise from a
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`received signal” if “filtering and subtraction are controlled by an appropriate
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`adaptive process.” (Id., 1693.) Ten years later, in 1985, Widrow authored a textbook
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`on adaptive signal processing that described various systems capable of such
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`adaptive noise reduction. (Ex. 1012 (Widrow 1985), 303-316.)
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`32. Many similar methods for estimating a noise signal and removing it
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`from a primary signal were also known long before the ’543 patent was filed. For
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`example, U.S. Patent No. 4,177,430 to Paul, which issued in 1979, disclosed using
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`an “adaptive transversal filter” that generated an estimate of noise and “subtract[ed]
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`[the noise estimate] from the combination of the desired audio signal and the first
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`broadband noise signal” to remove noise. (Ex. 1013 (Paul), Abstract; id., 2:60-3:27.)
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`U.S. Patent No. 4,589,137 to Miller, which issued in 1986, disclosed another
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`“adaptive filter system [that] subtracts the noise in the reference channel from the
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`signal-plus-noise in the primary channel,” thereby producing an output with the
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`noise removed. (Ex. 1014 (Miller), Abstract; id., 1:36-57.) As another example,
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`U.S. Patent No. 4,912,767 to Chang, which issued in 1990, disclosed using adaptive
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`filters to process noise signals and then subtracting the noise “from the voice-plus-
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`noise signal . . . to provide the substantially noise-free voice signal.” (Ex. 1015
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`(Chang), 6:4-7; id., 5:36-68.) The ’543 patent also explicitly admits that such
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`systems were well known and provides a drawing of a “classical ANC (adaptive
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`noise cancellation)” device labelled as “prior art.” (Ex. 1001 (the ’543 patent),
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`16:44-46, Fig. 1B (“Prior Art”).)
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`Noise Canceling Communications Systems with
`Microphones Oriented Toward and Away From
`a Speaker Were Known.
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`33. By the mid-1990s, it was widely known that orienting microphones in
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`certain directions improves noise removal in communications devices such as
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`handsets and headsets. For example, Andrea, which I discuss in detail below,
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`described a telephone handset and headset that implemented an active noise
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`cancellation system using two microphones oriented in different directions. (Ex.
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`1004 (Andrea), 1:19-22, 12:31-43; ¶¶93-95 (overview of Andrea), below.)
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`Noise Canceling Systems Operating in Fre-
`quency Sub-bands Were Known.
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`34. Sub-band processing in adaptive noise cancellation systems was well
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`known and was described in Hussain, as I discuss below. (¶46 (overview of
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`Hussain), below). Many other references also described noise cancellation systems
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`that implemented sub-band processing. For example, U.S. Patent No. 4,956,838 to
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`Gilloire, which issued in 1990, described an “echo cancelling device” that processed
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`“successive mutually adjacent sub-bands” using “an adaptive filter delivering an
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`estimated echo value in the sub-band to the subtractive input of the subtractor” in
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`order to output a denoised signal. (Ex. 1016 (Gilloire), Abstract; id., Fig. 3.) Similar
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`systems using sub-band processing for noise removal were disclosed in other
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`references as well. (Ex. 1015 (Chang), 5:36-6:7; Ex. 1017 (Duttweiler), 1:46-57
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`(describing an improved sub-band echo canceler); Ex. 1018 (Dennis), 2:15-38
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`(describing an adaptive noise canceler that filters signals into “a plurality of
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`subband[s]”).)
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` Detecting Voicing Activity With Non-Acoustic
`Sensors Was Known.
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`35. Voice activity detectors, including sensors for detecting voice through
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`tissue vibrations, were also known and used in the art for decades before the ’543
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`patent’s priority date. For example, as early as 1973, Alcivar described a “tissue
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`conduction microphone” that detects speech through “tissue vibrations due to
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`modulation of the vocal chords.” (Ex. 1008 (Alcivar), 4:65-5:54.) The next year,
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`another reference published describing the use of an accelerometer “to produce a
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`waveform related to the glottal acoustic output when attached to the throat of a
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`speaker” as early as 1974. (Ex. 1019 (Stevens), 1.) Detecting voice through tissue
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`vibrations was also disclosed in multiple references by Viswanathan in the 1980s.
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`(Ex. 1020 (Viswanathan 1985), 712 (using “an accelerometer that measures the skin
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`vibrations”); Ex. 1021 (Viswanathan 1989), 373 (“we collected speech in acoustic
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`background noise using the neckstrrap-mounted accelerometer”).)
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`36. Puthuff, which was filed in 1998, disclosed using “a motion transducer
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`comprising a vibration sensor, and specifically, in a preferred embodiment, an
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`accelerometer” to detect voice. (Ex. 1007 (Puthuff), 5:1-3.) Puthuff explained that
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`devices such as “vibration transducers,” “accelerometers [used] to detect bone
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`vibration,” and “throat microphones [that] pick[] up vibrations at the talker’s throat”
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`were known for decades. (Id., 3:19-25.) Puthuff disclosed that such sensor-based
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`VADs could be used to control other devices. (Id., 3:12-20.)
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` Using Non-Acoustic Sensors for Voice Activity
`Detection in Noise Cancellation Systems Was Known.
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`37. By the late 1990s, systems including both a noise reduction system that
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`subtracts noise from the received signal and a non-acoustic VAD to indicate when
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`voicing activity is present were known. For example, engineers at the Lawrence
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`Livermore National Laboratory (“LLNL”) filed a patent application in 1999
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`describing exactly this combination. That patent issued in 2002 as Burnett ’919,
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`which is described in detail below. (¶45 (overview of Burnett ’919), below.)
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` THE ’543 PATENT
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`Summary of the ’543 Patent
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`38. The ’543 patent relates to systems “for detecting and processing a
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`desired acoustic signal in the presence of acoustic noise.” (Ex. 1001 (the ’543
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`patent), 1:28-30.) The specification states that prior art systems generally used a
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`“single-microphone Voice Activity Detector (VAD) to determine the background
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`noise characteristics.” (Id., 1:45-49.) The ’543 patent also explains that these single-
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`microphone VAD systems had limitations. (Id., 1:60-2:2.)
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`39. The ’543 patent purports to improve upon such prior art systems by
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`using a non-acoustic VAD (106, pink) along with two microphones (103, 104, blue
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`and green, respectively), and a noise removal system 105:
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`(Ex. 1001 (the ’543 patent), Fig. 1, 2:7-13, 5:28-34, 14:40-50.)1 The microphones
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`both receive signals from speech source 101 and noise source 102. (Id.) VAD 106
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`dete