Building a recognition system of speech emotion and emotional states

Xiaoyan Feng, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    To make a decision in companies or public organizations, the priority ordering plays an essential. For example, their discussion is essential for stakeholder to achieve mutual consensus,. In the discussion, the difference among consensus building processes can affect the last conclusion. Therefore, it is necessary for analysis to find critical remarks reaching the consensus ("focus remark"). However, it is a basis to confirm the gfocus remark" that the consensus building process can understand exactly from the disagreement state consent and detailed exposition parties. The consensus discussion is very helpful to promote interaction by the speech. The paper addresses the design of recognition system and results are achieved by means of MFCC (Mel Frequency Campestral Coefficients) and HMM (Hidden Markov Model). Results in recognition of six emotion patterns obtained 86.8% recognition rate. According to the relation of emotional states and emotions we analyzed the support more objectively.

    Original languageEnglish
    Title of host publicationProceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013
    PublisherIEEE Computer Society
    Pages253-258
    Number of pages6
    ISBN (Print)9781479931842
    DOIs
    Publication statusPublished - 2013
    Event2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013 - Kitakyushu
    Duration: 2013 Dec 102013 Dec 12

    Other

    Other2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013
    CityKitakyushu
    Period13/12/1013/12/12

    Fingerprint

    Hidden Markov models
    Industry

    Keywords

    • Emotion recognition
    • HMM
    • MFCC
    • Praat
    • Speech
    • Support states

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Signal Processing

    Cite this

    Feng, X., & Watada, J. (2013). Building a recognition system of speech emotion and emotional states. In Proceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013 (pp. 253-258). [6830024] IEEE Computer Society. https://doi.org/10.1109/RVSP.2013.64

    Building a recognition system of speech emotion and emotional states. / Feng, Xiaoyan; Watada, Junzo.

    Proceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013. IEEE Computer Society, 2013. p. 253-258 6830024.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Feng, X & Watada, J 2013, Building a recognition system of speech emotion and emotional states. in Proceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013., 6830024, IEEE Computer Society, pp. 253-258, 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013, Kitakyushu, 13/12/10. https://doi.org/10.1109/RVSP.2013.64
    Feng X, Watada J. Building a recognition system of speech emotion and emotional states. In Proceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013. IEEE Computer Society. 2013. p. 253-258. 6830024 https://doi.org/10.1109/RVSP.2013.64
    Feng, Xiaoyan ; Watada, Junzo. / Building a recognition system of speech emotion and emotional states. Proceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013. IEEE Computer Society, 2013. pp. 253-258
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