Ex Parte Wasson et alDownload PDFPatent Trial and Appeal BoardMar 31, 201411554001 (P.T.A.B. Mar. 31, 2014) Copy Citation UNITED STATES PATENT AND TRADEMARK OFFICE UNITED STATES DEPARTMENT OF COMMERCE United States Patent and Trademark Office Address: COMMISSIONER FOR PATENTS P.O. Box 1450 Alexandria, Virginia 22313-1450 www.uspto.gov APPLICATION NO. FILING DATE FIRST NAMED INVENTOR ATTORNEY DOCKET NO. CONFIRMATION NO. 11/554,001 10/28/2006 Ryan J. Wasson GP-308137-OST-ALS 4715 60770 7590 03/31/2014 General Motors Corporation c/o REISING ETHINGTON P.C. P.O. BOX 4390 TROY, MI 48099-4390 EXAMINER CHAWAN, VIJAY B ART UNIT PAPER NUMBER 2658 MAIL DATE DELIVERY MODE 03/31/2014 PAPER Please find below and/or attached an Office communication concerning this application or proceeding. The time period for reply, if any, is set in the attached communication. PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE ________________ BEFORE THE PATENT TRIAL AND APPEAL BOARD ________________ Ex parte RYAN J. WASSON, JOHN P. WESS, and JASON W. CLARK ________________ Appeal 2011-009728 Application 11/554,001 Technology Center 2600 ________________ Before BRADLEY W. BAUMEISTER, DENISE M. POTHIER, and JEREMY J. CURCURI, Administrative Patent Judges. BAUMEISTER, Administrative Patent Judge. DECISION ON APPEAL Appeal 2011-009728 Application 11/554,001 2 SUMMARY Appellants appeal under 35 U.S.C. § 134(a) from the Examiner’s rejection of claims 1-20, all of which stand rejected under 35 U.S.C. § 102(b) as anticipated by Kanevsky (US 6,442,519 B1; issued Aug. 27, 2002). We have jurisdiction under 35 U.S.C. § 6(b). We review the appealed rejections for error based upon the issues identified by Appellants, and in light of the arguments and evidence produced thereon. Cf. Ex parte Frye, 94 USPQ2d 1072, 1075 (BPAI 2010) (precedential) (citing In re Oetiker, 977 F.2d 1443, 1445 (Fed. Cir. 1992)). We affirm. Pursuant to our authority under 37 C.F.R. § 41.50(b) (2007), we designate this rejection as constituting new grounds. CLAIMS 1-9 Independent claim 1 is representative of claims 1-91: 1. A speech recognition method comprising the steps of: (a) receiving input speech from a user; (b) processing said input speech to obtain at least one parameter value; and (c) determining an experience level of the user using the at least one parameter value. 1 Appellants argue claims 1-9 together as a group. See App. Br. 6-10. Accordingly, we select independent claim 1 as representative. See 37 C.F.R. § 41.37(c)(1)(iv)(2012). Appeal 2011-009728 Application 11/554,001 3 Contentions The Examiner concludes that Kanevsky discloses all of the limitations of claim 1. Ans. 4 (citing, without further clarification, Kanevsky, col. 3, l. 62 – col. 4, l. 60). Appellants initially presented three arguments with respect to claim 1. App. Br. 7-9. First, Appellants argued that “Kanevsky does not disclose that Kanevsky’s user characteristics are obtained from processing input speech from a user.” App. Br. 7. Second, Appellants argued that “Kanevsky does not disclose that Kanevsky’s user characteristics include an experience level of a user.” App. Br. 7-9. Third, Appellants argued that even “assuming arguendo that an educational level is somehow the same as an experience level, Kanevsky does not disclose that the educational level is determined from or using at least one parameter value from user input speech.” App. Br. 9. In response, the Examiner clarifies that the user characteristics of Kanevsky being relied upon are “user characteristics to determine user’s pitch and accent parameters which are derived from user input speech.” Ans. 8 (newly citing Kanevsky, Fig. 5, step 188; col. 7, l. 18 – col. 8, l. 64). The Examiner clarifies that the claimed experience is interpreted as corresponding to Kanevsky’s disclosure of an education level of the user whose input speech is being processed. Ans. 8. The Examiner further reasons that Kanevsky does disclose the educational level being determined from or using at least one parameter value from user input speech because “Kanevsky does use user characteristics to determine user’s pitch and accent parameters which are derived from user input speech.” Id. Subsequent to the Examiner setting forth the above rationales and reasoning in the Response to Arguments section of the Examiner’s Answer, Appeal 2011-009728 Application 11/554,001 4 Appellants concede “Kanevsky discloses that acoustic features in a speaker’s voice are identified.” Reply Br. 2. Appellants maintain, though, that “Kanevsky does not further disclose that at least one parameter value of those acoustic features is used to determine an experience level of a user.” Id. Analysis Appellants do not dispute that Kanevsky discloses a speech recognition method that receives speech from a user and then processes said input speech to obtain at least one parameter value. See App. Br. 6-9; Reply Br. 1-3. The only issue before us, then, is whether Kanevsky discloses the final claim step of determining an experience level of the user using the at least one parameter value. We therefore start our analysis by inquiring into the meaning of the claim language, “determining an experience level of the user using at least one parameter value.” “Before considering the rejections . . ., we must first [determine the scope of] the claims . . . .” In re Geerdes, 491 F.2d 1260, 1262 (CCPA 1974). Appellants seem to consider the claim term “experience level” to be limited to corresponding to a user’s experience with using automatic speech recognition software or applications: For example, by way of background for the benefit of the Board, Appellants have explained that an automatic speech recognition system may provide user assistance to guide a user when using the system. Automatic speech recognition assistance can include user guidance to instruct users how to use the system or provide prompts to remind users how to complete commands. The assistance can range from simple instructions for using a command to more sophisticated interaction with the user. The user prompts can guide the user on how to format commands (e.g. “say the complete phone Appeal 2011-009728 Application 11/554,001 5 number”) or provide the user with command options. Very detailed user guidance can slow the user’s interaction with the ASR while minimal user guidance may not provide sufficient assistance to novice users. (See Appellants’ Specification, ¶ 0003) Also, Appellants have disclosed that the amount of prompting required to guide a user can depend upon the user’s experience with automatic speech recognition. (See Appellants’ Specification, ¶ 0047) Moreover, Appellants have disclosed that a user experience level may include novice, normal, expert, and the like. (See Appellants’ Specification, ¶ 0054) Therefore, although any given user may have a high level of education generally, that same user may have a low or nonexistent level of experience with automatic speech recognition. In other words, an experience level of a user is independent of the educational level of the user. App. Br. 8. We find, though, that claim 1 does not limit the determining step to determining the user’s level of experience using automated speech recognition software. Rather, claim 1 merely recites, more broadly, “determining an experience level.” We further find that no objective standard is established for defining what constitutes the act of “determining an experience level.” As noted above, Appellants only assert that “a user experience level may include novice, normal, expert, and the like.” App. Br. 8 (citing Spec. ¶ 54). Paragraph 54 of Appellants’ Specification further indicates that “a number of thresholds can be defined to classify the user’s experience level,” and that the recited levels of novice, normal, and expert are merely non-limiting examples of experience levels that may be designated. Spec. ¶ 54. As such, the claim term “experience level” merely constitutes non- functional descriptive material – the term is nothing more than a subjective label or conclusion. That is, this descriptive term is given little patentable Appeal 2011-009728 Application 11/554,001 6 weight. “User experience level,” could be based on a classification scheme for classifying any potential characteristic. The claimed “level” would read on any chosen threshold within such a potential classification scheme. In short, a broad, but reasonable, construction of the claim term “experience level of the user” is not restricted to the examples in the disclosure and, so long as the potential classification scheme for ascertaining the “experience level of the user” incorporates at least one parameter value that was obtained from processing input speech. At least under this interpretation, the prior art reasonably maps to this claim limitation. Kanevsky discloses that various acoustic features are identified in the speaker’s voice. Kanevsky, col. 8, ll. 30-37. These acoustic features include accent, vocal tract characteristics, voice source characteristics, fundamental frequency, running average pitch, running pitch variance, pitch jitter, running energy variance, speech rate, shimmer, fundamental frequency, variation in fundamental frequency, and MEL cepstra. Id. Kanevsky also discloses that acoustic features collected from various users are compared and common features are identified to identify similar users (users having one or more common acoustic features). Kanevsky, col. 8, ll. 37-44. “[U]ser clusters are identified to cluster users with one or several common features, with several similar acoustic components or with similar profile characteristics, thereby classifying such users in the same classes. Additionally, thereafter, user characteristics are recorded, collected and used for further use classification.” Kanevsky, col. 8, ll. 44-49. For the reasons set forth above, we see no reason that would prevent the recited “experience level” of claim 1 from reading on the users’ resultant Appeal 2011-009728 Application 11/554,001 7 cluster or classification designations, as recited in Kanevsky. Regardless of whether the designations are experiences potentially associated with the users’ interactions with Kanevsky’s speech recognition software or whether they are experiences associated with some sort of the users’ life experiences or characteristics, these cluster and classification designations reasonably can be interpreted as constituting “experience levels.” Moreover, the cluster and classification designations are based upon commonalities in the users’ measured vocal features – parameter values obtained from processing input speech. Accordingly, Appellants have not demonstrated that Kanevsky fails to disclose the claim limitation of “determining an experience level of the user using the at least one parameter value.” We therefore sustain the Examiner’s rejection of independent claim 1, as well as of claims 2-9, which were not separately argued. CLAIMS 10-20 Independent claim 10, which is narrower than claim 1 due to the additional, final limitation of prompting the user, is illustrative of claims 10- 20: 10. A speech recognition method for a speech recognition system comprising the steps of: (a) receiving input speech from a user; (b) processing said input speech to obtain at least one parameter value; (c) determining an experience level of the user using the at least one parameter value; and Appeal 2011-009728 Application 11/554,001 8 (d) prompting the user based upon said determined experience level to assist the user in delivering speech commands to the system. The only other remaining independent claim is system claim 20, which is similar in scope to method claim 10. Contentions The Examiner concludes that Kanevsky discloses all of the limitations of independent claims 10 and 20. Ans. 5, 7 (citing, without further clarification, Kanevsky, col. 3, l. 62 – col. 4, l. 60; col. 7, l. 18 – col. 8, l. 64). In response, Appellants assert the essence of [Kanevsky’s] subject matter relates to acoustic models that are stored locally in local databases on user computers and that are modified and passed across a network to a global database on a speech recognition server, which in turn distributes the modifications across the network to computers of other clustered similar users. But Kanevsky does not disclose anything about prompting one of those users based upon that user’s experience level to assist that user in delivering speech commands to a speech recognition system. Therefore, it is unclear what, if anything, the cited portions of Kanevsky have to do with the additional subject matter of claims 10 and 20. App. Br. 9. The Examiner then fails to respond to Appellants’ arguments. The Response to Arguments section of the Examiner’s Answer makes no mention of independent claims 10 and 20, whatsoever, much less include any response to the above arguments or provide any further clarification or insight into how the Examiner may be interpreting either the claim language or Kanevsky’s disclosure. Ans. 8. Appeal 2011-009728 Application 11/554,001 9 Analysis Kanevsky states in the Background of Invention section of the Specification that “[t]he present invention is related to speech recognition” and explains that “[a]utomatic speech recognition (ASR) systems for voice dictation and the like use any of several well[-]known approaches to for [sic] word recognition.” Kanevsky, col. 1, ll. 25-33 (emphasis added). Kanevsky further states as users issue commands, dictate letters, etc., a corresponding local acoustic model on each corresponding user’s system, e.g., PDA 104, recognizes the particular user’s speech. If the user corrects the results of the recognition, the corrections are stored locally in a local database and used to adjust and refine the local acoustic model. Kanevsky, col. 6, ll. 16-23 (emphasis added). Kanevsky’s references to voice dictation and the dictation of letters indicates that the ASR’s resultant output may be in a printed or displayed format (e.g., on a computer monitor or the like). Kanevsky’s disclosure that the user is capable of reviewing and correcting these output results further indicates that the resultant output reasonably can be interpreted as constituting prompts for correction. That is, we find no reason that would preclude the “prompting . . . to assist the user in delivering speech commands to the system” of claim 10 from reading on such computer displays or other outputs of draft text that a user can observe. Furthermore, we have already explained in the preceding analysis of the claim 1 rejection why the text displayed on the screen can be deemed to be a result of the user’s determined experience level. As such, Appellants have failed to demonstrate that Kanevsky does not disclose all of the limitations of independent claim 10. Accordingly, we Appeal 2011-009728 Application 11/554,001 10 will sustain the Examiner’s rejection of that claim, as well as claims 11-20 which were not separately argued. CONCLUSIONS Appellants have not shown that the Examiner erred in rejecting claims 1-20 under 35 U.S.C. §102. Because the Examiner failed to adequately explain how Kanevsky was being applied in the claim rejections, we conclude Appellants did not have reasonable notice of the thrust of the rejection’s bases, as set forth in the present Opinion. We therefore designate the rejection of claims 1-20 as new grounds of rejection pursuant to our authority under 37 C.F.R. § 41.50(b). DECISION The Examiner’s decision rejecting claims 1-20 is affirmed. This decision contains new grounds of rejection pursuant to 37 C.F.R. § 41.50(b). This regulation states that “[a] new ground of rejection pursuant to this paragraph shall not be considered final for judicial review.” Furthermore, 37 C.F.R. § 41.50(b) also provides that Appellants, WITHIN TWO MONTHS FROM THE DATE OF THE DECISION, must exercise one of the following two options with respect to the new grounds of rejection to avoid termination of the appeal as to the rejected claims: (1) Reopen prosecution. Submit an appropriate amendment of the claims so rejected or new evidence relating to the claims so rejected, or both, and have the matter reconsidered by the examiner, in which event the proceeding will be remanded to the examiner. . . . Appeal 2011-009728 Application 11/554,001 11 (2) Request rehearing. Request that the proceeding be reheard under § 41.52 by the Board upon the same record. . . . In further regard to the affirmed rejection, 37 C.F.R. § 41.52(a)(1) provides that “Appellant may file a single request for rehearing within two months of the date of the original decision of the Board.” Should Appellants elect to prosecute further before the Examiner pursuant to 37 C.F.R. § 41.50(b)(1), in order to preserve the right to seek review under 35 U.S.C. §§ 141 or 145 with respect to the affirmed rejection, the effective date of the affirmance is deferred until conclusion of the prosecution before the Examiner unless, as a mere incident to the limited prosecution, the affirmed rejection is overcome. If Appellants elect prosecution before the Examiner and this does not result in allowance of the application, abandonment, or a second appeal, this case should be returned to the Patent Trial and Appeal Board for final action on the affirmed rejection, including any timely request for rehearing thereof. No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § 1.136(a)(1). See 37 C.F.R. § 1.136(a)(1)(iv) (2010). AFFIRMED 37 C.F.R. § 41.50(b) msc Copy with citationCopy as parenthetical citation