Systems and methods for determining and using interaction...

Data processing: speech signal processing – linguistics – language – Speech signal processing – Application

Reexamination Certificate

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C704S275000

Reexamination Certificate

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07415414

ABSTRACT:
Techniques are provided for determining and using interaction models. Discourse functions, prosodic features and turn information are determined from the speech information in a training corpus. Statistics, decision trees, rules and/or various other methods are used to determine a predictive interaction model based on the discourse functions, the prosodic features and the turn information. Predictive interaction models are optionally determined for individual users, genres, languages and/or other characteristics of the speech information. The predictive interaction model is useable to predict turns in a dialogue based on the discourse functions and prosodic features identified in the speech information. Speech information is presented and/or received based on the predictive interaction model.

REFERENCES:
patent: 5751907 (1998-05-01), Moebius et al.
patent: 5790978 (1998-08-01), Olive et al.
patent: 2004/0049391 (2004-03-01), Polanyi et al.
patent: 2005/0086592 (2005-04-01), Polanyi et al.
patent: 2005/0171926 (2005-08-01), Thione
patent: 2005/0182625 (2005-08-01), Azara et al.
patent: 2005/0187772 (2005-08-01), Azara et al.
Jurafsky et al.; Automatic Detection of Discourse Structure for Speech Recogntion and Understansing; Automatic Speech Recognition and Understanding, 1997. Proceedings., 1997 on Dec. 14-17, 1997 pp. 88-95.
Levow, G., “Prosodic Cues to Discourse Segment Boundaries in Human-Computer Dialogue”, in 5th SIGdial Workshop on Discourse and Dialogue Boston, Apr. 30 and May 1, 2004.
Lascarides, A. and Oberlander, J., “Temporal Coherence and Defeasible Knowledge”, Theoretical Linguistics, 19.1, pp. 1-35, Walter de Gruyter, Berlin, New York, 1993.
“CHATR: A Generic Speech Synthesis System”, Dec. 25, 1997, downloaded from http://feast.atr.jp/chatr/manual/index.html Mar. 16, 2006.
“HCRC Project: ID4S Intonation in Dialogue for Speech Recognition”, downloaded from http://www.hcrc.ed.ac.uk/Site/IDS4.html Jun. 2, 2004.
Nuance Say Anything Grammars product description, downloaded from http://cafe.bevocal.com/docs/grammar/sayanthing.html Jun. 2, 2004.
Ljolje, A., “The AT&T LVCSR-2001 System”, May 3, 2001, downloaded from ftp://jaguar.ncsl.nist.gov/evaluations/hub5/may01/pres/att—lvcsr.pdf Mar. 16, 2006.
DARPA Communicator Project: Robust Recognition and Dialog Tracking for Interactive Information Access, Mar. 2003, downloaded from http://ssll.ee.washington.edu/projects/communicator.html Mar. 15, 2006.
Ayers, G.M., 1992. “Discourse functions of pitch range in spontaneous and read speech.” Presented at the Linguistic Society of America Annual Meeting.
Brown, G. and Kenworthy, J. 1980 Questions of Intonation, Baltimore, University Park Press, p. 21-122.
Kamp, H. 1981. “A Theory of of Truth and Semantic Representation.” in J.A.G. Groenendijk, T. Jannssen, and M. Stokhof (eds.) Formal Methods in the Study of Language. Amesterdam: Mathematisch Centrum, 277-322.
Ladd, D.R. 1983, “Phonological Features of Intonation Peaks”, Language, 59:721-759.
Ladd, D.R. 1998. “Declination Reset and the Hierarchical Organization of Utterances” Journal of the Acoustical Society of America, 84(2):530-544.
Mariani, J.; Proubeck, P., 1999 “Language Technologies Evaluation in the European Framework”, Proceedings of the DARPA Broadcast News Worksop, Washington: Morgan Kaufman Publishers, pp. 237-242.
Nakatani, C.; Hirschberg, J.; and Grosz, 1995. “Discourse Structure in Spoken Language: Studies on Speech Corpora.” In Working Notes of the AAAI-95 Spring Symposium in Palo Alto, CA in Empirical Methods in Discourse Interpretation. pp. 106-112.
Polanyi, L.; and Sch, R., 1984. “A syntactic approach to discourse semantics.” Proceedings of the 10th International Conference on Computational Linguistics, Stanford, CA 413-419.
Silverman, K.; Beckman, M.; Pierrehumbert, J.; Ostendorf, M.; Wightman, C.; Price, P.; and Hirschberg, J. 1992. “ToBI: A standard scheme for labeling prosody.” In Proceedings of ICSLP. Banff: International Conference on Spoken Language Processing.
Terken, J. 1984. “The distribution of pitch accents in instructions as a function of discourse structure.” Language and Speech, 27:269-289.
Black A.; Taylor, P.: CHATR: a generic speech synthesis system in Proceedings of COLING74, II p. 83-986, Kyoto, 1994.
Haller, S. Fossum, T.: “The Association Between Subject Matter and Discourse Segmentation”, In The Proceedings of the Florida AI Research Symposium, Key West, FL, May 2001.
Long, S. ; Kooper, R.;Abowd, G.; Atkeson, C., “Rapid Prototyping of Mobile Context-Aware Applications: the CyberGuide Case Study”, in the Proceedings of the 2nd ACM International Conferenece on Mobile Computing and Networking (MobiCom'96), pp. 97-107, Nov. 10-12, 1996.
Shriberg., E.; Stolke, A.; Hakkani-Tur, Dilek; Tur, Gokhan, “Prosody-Based Automatic Segmentation of Speech Utterances into Sentences and Topics” in Speech Communication, 2000, 32, 1-2, Sept, pp. 127-154.
Stolcke., A.; Schriberg, E.; Bates, R.; Coccaro N.; Jurafsky, D.; Martin, R.; Meteer, M.; Ries, K.; Taylor, P.; Van Ess-Dykema, C., “Dialog Act Modeling for Conversational Speech” in Applying Machine Learning to Discourse Processing. Papers from the 1998 AAAI Spring Symposium, Technical Report SS-98-01 (J. Chu-Carroll et al. eds.) Stanford CA pp. 98-105, AAAI Press, Menlo Park CA. 1998.
Wrede, B.; Schriberg, E., “Spotting ‘HotSpots’ in Meetings: Human Judgments and Prosdic Cues” in Proc. Eurospeech, Geneva, 2003.

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