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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/100461
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/100461


    Title: 吉他和弦把位音訊特徵萃取與辨識系統研究
    Guitar Chord Fret Position Audio Feature Extraction and Recognition System
    Authors: 莊淳中
    Chuang, Chun Chung
    Contributors: 蔡瑞煌
    Tsaih, Rua Huan
    莊淳中
    Chuang, Chun Chung
    Keywords: 音樂資訊檢索
    和弦辨識
    音級輪廓
    梅爾倒頻譜係數
    支撐向量機
    吉他
    Date: 2016
    Issue Date: 2016-08-22 10:45:00 (UTC+8)
    Abstract: 和弦在現代音樂當中扮演重要的角色,它能構成音樂的基礎並能表現多種變化性的聽覺感受。而吉他是一種適合作為演奏和弦的樂器,透過手指選擇在吉他指板上的音符並按壓琴弦,再配合撥弦或刷扣彈奏可以變化出許多不同的和弦。和弦辨識系統是結合音樂理論與電腦運算能力,將聲音訊號當中出現的和弦辨識出來,其已經在音樂資訊檢索領域有許多研究,也開發出許多的應用系統,以往的系統通常只辨識出和弦的名稱,但對於吉他演奏者來說,在吉他上面按壓和弦的把位,會造成音色與和聲的不同,因此本研究透過相關文獻整理,實作一個系統,觀察到音級輪廓與梅爾倒頻譜係數兩種音訊特徵,與支撐向量機監督式機器學習,能達到辨識吉他和弦把位,進而希望得到吉他音樂背後音色與和聲的高階音樂意涵。
    Reference: [1] Baniya, B. K., Ghimire, D. and Lee, J., "Automatic Music Genre Classification Using Timbral Texture and Rhythmic Content Features," ICACT TACT, (3:3), 2014
    [2] Bharucha, J., Krumhansl, C. L., "The representation of harmonic structure in music: Hierarchies of stability as a function of context", Cognition 13, pp. 63-102, 1983
    [3] Corrigall, K. A., and Schellenber., E. G., Handbook of psychology of emotions: Recent theoretical perspectives and novel empirical findings, Nova, Canada, pp. 299-326
    [4] Chien, H. C., Essentials of Guitar (4th ed.), OverTop Music, Taiwan, 2004 (Chinese version)
    [5] Casey, M. A., Veltkamp, R., Goto, M., Leman, M., Rhodes, C. and Slaney, M., "Content-Based Music Information Retrieval: Current Directions and Future Challenges,", Proc. of the IEEE (96:4), April 2008
    [6] Chuan, C. H., and Chew, E., "Audio onset detection using machine learning techniques: the effect and applicability of key and tempo information," Computer Science Department Technical Report, University of Southern California, 2008
    [7] Davis, S. B. and Mermelstein, P., "Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences," IEEE Transactions on ASSP, (28:4), pp. 357-366, 1980
    [8] Dosenbach, K., Fohl, W. and Meisel, A., "Identification of individual guitar sound by support vector machines," Proc. of the 11th Int. Conference on Digital Audio Effects, 2008
    [9] Dixon, S., "Onset Detection Revisited," Proc. of the 9th International Conference on Digital Audio Effects, 2006
    [10] Fujishima, T., "Real time chord recognition of musical sound: A system using common lisp music," ICMC, pp. 464-467, 1999.
    [11] Fohl, W., Turkalj, I., and Meisel A., "A Feature Relevance Study for Guitar Tone Classification," Proc. of the 13th ISMIR, 2013.
    [12] Gomez, E., Tonal description of music audio signals, Ph.D. thesis, UPF Barcelona, 2006.
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    [14] Lee, J. H., "Supervised Learning for Guitar Chord Voicing Identification Aided by the Use of MIDI Pickups", 2013.
    [15] Lee, K., and Slaney, M., "Automatic Chord Recognition from Audio Using an HMM with Supervised Learning," Proc. of the 7th ISMIR, 2006.
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    [19] Oudre, L., Grenier, Y., and Févotte, C., "Chord Recognition by Fitting Rescaled Chroma Vectors to Chord Templates," IEEE Transactions on Audio, Speech and Language Processing, (19:7), pp.2222-2233, 2011
    [20] Pan, S.W., Guitar Chord Encyclopedia (8th ed.), Vision Quest, Taiwan, 2013 (Chinese version)
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    [23] Sheh, A. and Ellis, D. P., "Chord segmentation and recognition using EM-trained hidden Markov models," ISMIR, 2003.
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    [25] scikit-learn, http://scikit-learn.org/
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    [28] Zhang, X., and Ras, Z., "Discriminant feature analysis for music timbre recognition," ECML/PKDD Third International Workshop on Mining Complex Data (MCD 2007), pp. 59-70
    Description: 碩士
    國立政治大學
    資訊管理學系
    103356018
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0103356018
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

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