Emotion recognition method and device

Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

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.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Emotion recognition method and device does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Emotion recognition method and device, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Emotion recognition method and device will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4037010

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.