Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission
Reexamination Certificate
2002-07-12
2008-11-11
Hudspeth, David R. (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
For storage or transmission
C704S207000, C704S270000
Reexamination Certificate
active
07451079
ABSTRACT:
Emotion recognition is performed by extracting a set comprising at least one feature derived from a signal, and processing the set of extracted feature(s) to detect an emotion therefrom. The voice signal is low pass filtered prior to extracting therefrom at least one feature of the set. The cut-off frequency for the low pass filtering is typically centered around 250 Hz. The features are e.g. statistical quantities extracted from sampling a signal of the intensity or pitch of the voice signal.
REFERENCES:
patent: 3855416 (1974-12-01), Fuller
patent: 4142067 (1979-02-01), Williamson
patent: 4441202 (1984-04-01), Tong et al.
patent: 4532930 (1985-08-01), Crosby et al.
patent: 5918222 (1999-06-01), Fukui et al.
patent: 6006188 (1999-12-01), Bogdashevsky et al.
patent: 6101463 (2000-08-01), Lee et al.
patent: 6358055 (2002-03-01), Rothenberg
patent: 6577998 (2003-06-01), Yamamoto
patent: 6697457 (2004-02-01), Petrushin
patent: 7065490 (2006-06-01), Asano et al.
patent: 2003/0023444 (2003-01-01), St. John
patent: 2003/0033145 (2003-02-01), Petrushin
Kim, H. Lee, J. Sung, M. Kim, K. Park, K. “Pitch Detection with Average Magnitude Difference Function Using Adaptive Threshold Algorithm for Estimating Shimmer and Jitter” Proceedings of the 20th Annual International Conference of IEEE Engineering in Medicine and Biology, vol. 6, pp. 3162-3164 1998.
Database Biosis ′Online! Biosciences Information Service, Philadelphia, PA, US; 1986, Van Bezooijen R et al: “The Effects of Low-Pass Filtering and Random Splicing on the Perception of Speech” XP002289963 Database accession No. PREV198783009008 * abstract * & Journal of Psycholinguistic Research, vol. 15, No. 5, 1986, pp. 403-418, ISSN: 0090-6905.
Gudrun Klasmeyer: “An Automatic Description Tool for Time Contours and Long-Term Average Voice Features in Large Emotional Speech Databases” ISCA Workshop on Speech and Emotion, Sep. 5, 2000,-Sep. 7, 2000 pp. 1-6, XP007005767 Belfast.
K.R. Scherer, T. Johnstone, J. Sangsue: “L'état émotionnel du locuteur: facteur néligé mais non négligeable pour la technologie de la parole” Actes Des XXIIIÈMES Journees D'etudes sur la Parole, 1998, pp. 1-9, XP002289960 Martigny, Switzerland.
Sinead McGilloway, Roddy Cowie, Ellen Douglas-Cowie, Stan Gielen, Machiel Westerdijk, Sybert Stroeve: “Approaching Automatic Recognition of Emotion from Voice: a Rough Benchmark” ISCA Workshop on Speech and Emotion, Proceedings Online, Sep. 5, 2000 pp. 1-8, XP002289961 Belfast Retrieved from the Internet: URL:http://www.qub.ac.uk/en/tsca/proceedings/pdfs/mcilloway.pdf> retrieved on Jul. 23, 2004.
McNally Richard J et al: “The voice of emotional memory: Content-filtered speech in panic disorder, social phobia, and major depressive disorder” Behaviour Research and Therapy, vol. 39, No. 11, Nov. 2001, pp. 1329-1337, XP002289962 ISSN: 0005-7967.
Hudspeth David R.
Oblon & Spivak, McClelland, Maier & Neustadt P.C.
Sked Matthew J.
Sony France S.A.
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