國家衛生研究院 NHRI:Item 3990099045/11494
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 12145/12927 (94%)
造訪人次 : 858781      線上人數 : 779
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋
    主頁 ‧ 登入 ‧ 上傳 ‧ 說明 ‧ 關於NHRI ‧ 管理 到手機版


    請使用永久網址來引用或連結此文件: http://ir.nhri.org.tw/handle/3990099045/11494


    題名: Integrating perceivers neural-perceptual responses using a deep voting fusion network for automatic vocal emotion decoding
    作者: Hsieh, WT;Yang, HC;Wu, YT;Tsai, FS;Kuo, LW;Lee, CC
    貢獻者: Institute of Biomedical Engineering and Nanomedicine
    摘要: Understanding neuro-perceptual mechanism of vocal emotion perception continues to be an important research direction not only in advancing scientific knowledge but also in inspiring more robust affective computing technologies. The large variabilities in the manifested fMRI signals among subjects has been shown to be due to the effect of individual difference, i.e., inter-subject variability. However, relatively few works have developed modeling techniques in task of automatic neuro-perceptual decoding to handle such idiosyncrasies. In our work, we propose a novel computation method of deep voting fusion neural network architecture by learning an adjusted weight matrix applied at the fusion layer. The framework achieves an unweighted average recall of 53.10% in a four-class vocal emotion states decoding task, i.e., a relative improvement of 8.9% over a two-stage SVM decision-level fusion. Our framework demonstrates its effectiveness in handling individual differences. Further analysis is conducted to study the properties of the learned adjusted weight matrix as a function of emotion classification accuracy.
    日期: 2018-09-10
    關聯: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2018 Sep 10;2018-April:1015-1019.
    Link to: http://dx.doi.org/10.1109/ICASSP.2018.8462352
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000446384601042
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85054205985
    顯示於類別:[郭立威] 會議論文/會議摘要

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    SCP85054205985.pdf561KbAdobe PDF265檢視/開啟


    在NHRI中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋