Building a recognition system of speech emotion and emotional states

Xiaoyan Feng, Junzo Watada

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルProceedings - 2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013
    出版社IEEE Computer Society
    ページ253-258
    ページ数6
    ISBN(印刷版)9781479931842
    DOI
    出版ステータスPublished - 2013
    イベント2013 2nd International Conference on Robot, Vision and Signal Processing, RVSP 2013 - Kitakyushu
    継続期間: 2013 12月 102013 12月 12

    Other

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

    ASJC Scopus subject areas

    • 人工知能
    • 信号処理

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