博碩士論文 etd-0627116-132348 詳細資訊


[回到前頁查詢結果 | 重新搜尋]

姓名 張家瑄(Chia-Hsuan Chang) 電子郵件信箱 E-mail 資料不公開
畢業系所 資訊管理學系研究所(Information Management)
畢業學位 碩士(Master) 畢業時期 104學年第2學期
論文名稱(中) 衡量網路吉他和弦譜之研究
論文名稱(英) A Study on Measuring Online Guitar Chord Tabs
檔案
  • etd-0627116-132348.pdf
  • 本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
    請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
    論文使用權限

    紙本論文:3 年後公開 (2019-07-27 公開)

    電子論文:使用者自訂權限:校內 3 年後、校外 3 年後公開

    論文語文/頁數 英文/60
    統計 本論文已被瀏覽 5098 次,被下載 0 次
    摘要(中) 由於近年來提供吉他譜的相關網站和電子資料庫增多,且網站內使用者所上傳譜的格式、調性與歌曲結構並不一致,如此一來造成同首歌但有許多不同的版本,雖然大部分網站能有星等來讓使用者評量譜的品質,但利用評等紀錄無法適用在冷門和不流行的歌曲上面,為了解決此現象並減少人力檢查的耗費,本篇論文將利用譜內的和弦序列與原曲的和弦序列計算相似程度,利用此相似度指標,對於 346首歌中挑選出來的 1633張譜做關聯性分析。在實驗中發現,星等與相似度指標有顯著正相關(大於0.3),此結果須將欲比較的兩序列轉為同個調性,而我們也發現動態時間規劃演算法能適應於兩和弦序列時間上與速度上不同的比較,相較於其他和弦相似計算方法更能有效計算兩段和弦序列的相似程度。本論文所提出的相似度指標能自動地反映出與原曲的相似性,能協助確認和弦的品質以及建立將音樂訊息納入考量的推薦系統。
    摘要(英) Due to the explosion of music tabs sharing websites, user can upload chord tabs with different key, structure, and format. As a result, there could be many tabs versions associated with one song, causing confusions to the users when it comes to choosing a tab. In order to solve this problem and ease labor cost to check, in this research we develop a similarity index that measures the similarity between a chord tab and its tonal progression of the original song, which may serve as the quality indicator of the tab. The proposed index requires the processing of chord tab, followed by Dynamic Time Warping(DTW) for computing the similarity between two chord sequences. Our experiment involves 1,633 chord tabs of 346 songs. We find that the proposed index values of chord tabs have positive correlation with the rank given by users (above 0.3) when comparing two chord sequences on the same key. We also find dynamic time warping (DTW) outperforms other similarity calculation methods, since DTW can compare two sequence varied in time and speed. The proposed similarity index can be used in determining the qualities of tabs as well as building chord tab recommendation system.
    關鍵字(中)
  • 品質分析
  • 吉他譜
  • 相似度指標
  • 動態時間規劃
  • 和弦序列
  • 關鍵字(英)
  • quality analysis
  • chord tab
  • similarity index
  • chord sequence
  • Dynamic Time Warping
  • 論文目次 Chapter 1 Introduction + 1
    1.1 Background + 1
    1.2 Motivation + 2
    Chapter 2 Literature Review + 4
    2.1 Chord Sequence + 4
    2.2 Music Similarity Measurement + 7
    2.3 Other Tab Analysis Researches + 12
    Chapter 3 The Approach + 14
    3.1 System Architecture of the Approach + 14
    3.2 Datasets + 15
    3.2.1 Crawler for Ultimate Chord tabs + 15
    3.2.2 NNLS/Chordino package + 16
    3.3 Pre-Processing of Chord Sequences + 17
    3.3.1 Reduction of Chord Vocabularies + 17
    3.3.2 Find Global Key of Each Song + 19
    3.3.3 Key Smoothing + 21
    3.4 Similarity Function + 22
    3.4.1 Chord Likeness Function + 22
    3.4.2 Dynamic Time Warping with Cost Function + 23
    3.4.3 Chord Sequence Similarity + 26
    Chapter 4 Experiment + 27
    4.1 Our Experiment Dataset + 27
    4.2 Evaluate Correlation + 29
    4.2.1 Correlation Test for USPOP2002 + 29
    4.2.2 Correlation Test for Extent Data + 31
    4.2.3 Investigate into Kendall Tau-b analysis + 31
    4.3 Comparing with Other System + 33
    Chapter 5 Conclusion + 36
    References + 38
    參考文獻 1. Berenzweig, A., Logan, B., Ellis, D. P. W., & Whitman, B. (2003). A large-scale evalutation of acoustic and subjective music similarity measures. Proceedings of International Symposium on Music Information Retrieval, 33(2002), 99–105.
    2. Bogdanov, D., Wack, N., Gómez, E., Gulati, S., Herrera, P., Mayor, O., … Serra, X. (2013). ESSENTIA: An audio analysis library for music information retrieval. Proceedings of the International Conference on Music Information Retrieval (ISMIR), 493–498.
    3. Burgoyne, J. A., Wild, J., & Fujinaga, I. (2011). An Expert Ground-Truth Set for Audio Chord Recognition and Music Analysis. 12th International Society for Music Information Retrieval Conference, (ISMIR), 633–638.
    4. Cheng, H. T., Yang, Y. H., Lin, Y. C., Liao, I. Bin, & Chen, H. H. (2008). Automatic chord recognition for music classification and retrieval. 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings, 1505–1508. http://doi.org/10.1109/ICME.2008.4607732
    5. Cheng, H., Yang, Y., Lin, Y., Liao, I., & Chen, H. H. (2008). AUTOMATIC CHORD RECOGNITION FOR MUSIC CLASSIFICATION AND RETRIEVAL. 2008 IEEE International Conference on Multimedia and Expo, 1–4. http://doi.org/10.1109/ICME.2008.4607732
    6. de Haas, W. B., Magalhaes, J. P., Veltkamp, R. C., & Wiering, F. (2011). HarmTrace: improving harmonic similarity estimation using functional harmony analysis. 12th International Society for Music Information Retrieval Conference (ISMIR 2011), (Ismir), 67–72.
    7. De Haas, W. B., Robine, M., Hanna, P., Veltkamp, R. C., & Wiering, F. (2011). Comparing approaches to the similarity of musical chord sequences. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6684 LNCS, 242–258. http://doi.org/10.1007/978-3-642-23126-1_16
    8. Downie, J. S. (2003). Music Information Retrieval. Annual Review of Information Science and Technology, 37(Chapter 7), 295–340. http://doi.org/10.1002/aris.1440370108
    9. Haas, W. De. (2008). Tonal pitch step distance: A similarity measure for chord progressions. Proceedings of the International Conference on Music Information Retrieval (ISMIR), (February 2016), 51–56.
    10. Haas, W. B., Wiering, F., & Veltkamp, R. C. (2013). A geometrical distance measure for determining the similarity of musical harmony. International Journal of Multimedia Information Retrieval, 2(3), 189–202. http://doi.org/10.1007/s13735-013-0036-6
    11. Hanna, P., Ferraro, P., Robine, M., Hanna, P., Ferraro, P., Robine, M., … Robine, M. (2007). On Optimizing the Editing Algorithms for Evaluating Similarity Between Monophonic Musical Sequences. Journal of New Music Research, 36, 267–279.
    12. Hanna, P., Robine, M., & Rocher, T. (2009). An alignment based system for chord sequence retrieval. Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries, 101–104. http://doi.org/10.1145/1555400.1555417
    13. Harte, C. (2010). Towards automatic extraction of harmony information from music signals, (August).
    14. Harte, C., Sandler, M., Abdallah, S., & Gómez, E. (2005). Symbolic representation of musical chords: A proposed syntax for text annotations. Proc ISMIR, 56, 66–71.
    15. Katayose, H., Imai, M., & Inokuchi, S. (1988). Sentiment extraction in music. [1988 Proceedings] 9th International Conference on Pattern Recognition, 1083–1087. http://doi.org/10.1109/ICPR.1988.28447
    16. Macrae, R., & Dixon, S. (2011). Guitar tab mining, analysis and ranking. 12th International Society for Music Information Retrieval Conference (ISMIR 2011), (Ismir), 453–458.
    17. Mauch, M., & Dixon, S. (2010). Simultaneous estimation of chords and musical context from audio. IEEE Transactions on Audio, Speech and Language Processing, 18(6), 1280–1289. http://doi.org/10.1109/TASL.2009.2032947
    18. Mcvicar, M., Santos-rodríguez, R., Ni, Y., & Bie, T. De. (2014). Automatic Chord Estimation from Audio : A Review of the State of the Art, 22(2), 556–575.
    19. Robine, M., Hanna, P., & Ferraro, P. (2007). Music Similarity: Improvements of Edit-based Algorithms by Considering Music Theory. Proceedings of the International Workshop on Workshop on Multimedia Information Retrieval - MIR ’07, (February), 135. http://doi.org/10.1145/1290082.1290103
    20. Sakoe, H. (1978). Dynamic programming algorithm optimization for spoken word recognition. Ieee Transactions on Acoustics, Speech, and Signal Processing, 26(1), 43–49.
    21. Wongsaroj, C., Prompoon, N., & Surarerks, A. (2014). A music similarity measure based on chord progression and song segmentation analysis. 2014 Fourth International Conference on Digital Information and Communication Technology and Its Applications (DICTAP), 158–163. http://doi.org/10.1109/DICTAP.2014.6821675
    口試委員
  • 魏志平 - 召集委員
  • 康藝晃 - 委員
  • 黃三益 - 指導教授
  • 口試日期 2016-07-08 繳交日期 2016-07-27

    [回到前頁查詢結果 | 重新搜尋]


    如有任何問題請與論文審查小組聯繫