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    題名: 個人化情緒/情境音樂檢索系統
    Personalized Music Retrieval Based on Emotions / Situations
    作者: 李侃儒
    Li, Kan-Ru
    貢獻者: 陳良弼
    Chen, Arbee
    李侃儒
    Li, Kan-Ru
    關鍵詞: 音樂檢索
    情緒
    情境
    個人化
    音樂表示法
    音樂特徵自動調整重要性
    music retrieval
    emotion
    situation
    personalization
    music representation
    features re-weighting
    日期: 2005
    上傳時間: 2009-09-17 13:56:51 (UTC+8)
    摘要: 在本論文中我們提出了一種個人化情緒/情境音樂檢索方法。主要的概念為根據使用者的feedback來找出符合該使用者情緒/情境的音樂在features上所具備的特性,藉此達到個人化的效果。為了更明確表示出音樂的特性,我們利用統計features分布情況的方式來做為音樂的表示法。同時,定義了兩層features自動weighting的方法來決定每個feature在不同情緒/情境下的鑑別度。最後,我們將探討音樂特性與音色對不同的情緒/情境會造成什麼樣的影響,並試著分析音樂與情緒/情境間的關係。
    In this paper, an approach for personalized music retrieval based on emotions / situations is proposed. The main concept is to find out the properties of music that caused the user have emotions / situations responses via the user feedback. And using the user feedback will help us to establish a personalized music retrieval system based on emotions / situations. To represent the music properties clearly, we proposed a new method of music representation based on statistics. And we defined a two-phase features re-weighting method to find out the importance of features in different emotions / situations. At last, we will discuss the influence of music properties and timbre on different emotions / situations, and try to analyze the relationship between the emotions / situations.
    參考文獻: [1] 孟憲福主譯, 殷于涵審校(2004), S. Sadie and A. Latham原著, 劍橋音樂入門(The Cambridge Illustrated Guide of Music), 台北市:果實出版, 城邦文化發行.
    [2] D. Liu, L. Lu, and H.J. Zhang, 2003. “Automatic Mood Detection from Acoustic Music Data.” International Symposium on Music Information Retrieval.
    [3] Y. Feng, Y. Zhuang, and Y. Pan, 2003. “Music Information Retrieval by Detecting Mood via Computational Media Aesthetics,” IEEE/WIC International Conference on Web Intelligence, 235-241.
    [4] D. Yang and W.S. Lee, 2004. “Disambiguating Music Emotion Using Software Agents.” International Symposium on Music Information Retrieval, 218-223.
    [5] T. Li and M. Ogihara, 2003. “Detecting emotion in music,” International Symposium on Music Information Retrieval, 239-240.
    [6] 游恆山編譯(1990), Philip G. Zimbardo原著, 心理學, 台北市:五南圖書公司.
    [7] 王毓雅, 如何進行幼兒音樂教學~由幼兒音樂概念發展觀之, 國教新知第47卷第3期.
    [8] S. Khalfa, I. Peretz, B. Jean-Pierre, and R. Manon , 2002. “Event-related skin conductance responses to musical emotions in humans. ” Neuroscience Letters, 328, 145-149.
    [9] N. Gosselin, I. Peretz, M. Noulhiane, D. Hasboun, C. Beckett, M. Baulac, and S. Samson, 2005. “Impaired recognition of scary music following unilateral temporal lobe excision. ” Brain, 128, 628-640.
    [10] A. Chen, M. Chang, J. Chen, J. L. Hsu, C. H. Hsu, and Spot Y. S. Hua, 2000. “Query by Music Segments: An Efficient Approach for Song Retrieval.” Proceedings of the IEEE International Conference on Multimedia and Expro, 873-876.
    [11] C. C. Liu, J. L. Hsu, and A. Chen, 1999. “An Approximate String Matching Algorithm for Content-Based Music Data Retrieval,” Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 451-456.
    [12] J. Russell.“A circumplex model of affect, ” Journal of Personality and Social Psychology, 39, 1161-1178, 1980
    [13] 陳美如主譯, 洪小萍、石曉蓉編輯, 篠田知璋、加藤美知子主編, 日野原重明審訂, 標準音樂治療入門, 台北市:五南圖書公司.
    [14] 謝俊逢, 音樂療法-理論與方法, 台北市:大陸書局
    描述: 碩士
    國立政治大學
    資訊科學學系
    93753012
    94
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0093753012
    資料類型: thesis
    顯示於類別:[資訊科學系] 學位論文

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