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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鄭士康 | |
| dc.contributor.author | Chuan-Yau Chan | en |
| dc.contributor.author | 陳傳祐 | zh_TW |
| dc.date.accessioned | 2021-06-07T18:02:13Z | - |
| dc.date.copyright | 2012-08-09 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-08-03 | |
| dc.identifier.citation | [1] T. Ahonen and K. Lemstr‥om. Identifying cover songs using normalized compression
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A chroma-based tempo-insensitive distance measure for cover song identification using the 2d autocorrelation. MIREX extended abstract, 2008. [20] H. Kantz, T. Schreiber, and R.S. Mackay. Nonlinear time series analysis, volume 2000. Cambridge university press Cambridge, 1997. [21] S. Kim and S. Narayanan. Dynamic chroma feature vectors with applications to cover song identification. In Multimedia Signal Processing, 2008 IEEE 10th Workshop on, pages 984–987. Ieee, 2008. [22] M. Lagrange and J. Serra. Unsupervised accuracy improvement for cover song detection using spectral connectivity network. In Proc. of the Int. Soc. for Music Information Retrieval Conf.(ISMIR), pages 595–600, 2010. [23] C. Larkin et al. The encyclopedia of popular music. Macmillan, 1998. [24] M. Marolt. A mid-level representation for melody-based retrieval in audio collections. Multimedia, IEEE Transactions on, 10(8):1617–1625, 2008. [25] K. Mosser. “cover songs”: Ambiguity, multivalence, polysemy. 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Serra, M. Zanin, C. Laurier, and M. Sordo. Unsupervised detection of cover song sets: Accuracy improvement and original identification. In International Society for Music Information Retrieval Conference. Citeseer, 2009. [38] X. Serra. Musical sound modeling with sinusoids plus noise. Musical signal processing, pages 91–122, 1997. [39] W.H. Tsai, H.M. Yu, and H.M. Wang. A query-by-example technique for retrieving cover versions of popular songs with similar melodies. In Int. Symp. on Music Information Retrieval (ISMIR), pages 183–190. Citeseer, 2005. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/16131 | - |
| dc.description.abstract | 辨認翻唱歌曲對人類來說是一件輕而易舉的事情。然而對電腦來說，有效率又準確的辨認翻唱歌曲並不是一件簡單的事情。一首歌曲可以用各種不同的方式來翻唱，例如：重新混音編曲，現場演奏，或是純樂器演奏版本等等，而這些版本和原唱版本之間又有各種不同的聲音特性的差異。本論文中討論了各種不同的Chromagram在翻唱歌曲辨識系統中的效能，並提出了一個基於節拍同步和音色不變量之音色頻譜和交叉遞回圖分析的翻唱歌曲辨識系統。這個系統在covers80 資料集的八十首歌中成功的辨識出六十二首歌。 | zh_TW |
| dc.description.abstract | Identifying cover version of a song is easy and straightforward for human.
However, it still can not perform accurately by a computer. Every music recording can be covered in various ways, such as live performance, rearrangement, and instrumental...etc. Consequently, there are various musical variations between different cover versions and original version. According to the second hand song website, ”Yesterday” performed by ”The Beatles” has 233 covered versions. In this thesis, I attempt to explore the effectiveness of various chroma feature for cover song identification, and propose a modelfree system based on beat-synchronous time-invariant chromagram and cross recurrence plot analysis. Using the online available covers80 dataset, the numbers of correctly identification covers is 62 over 80 songs. The evaluation result also reveals that the enhancement of chroma feature will lead to dramatic performance gains. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-07T18:02:13Z (GMT). No. of bitstreams: 1 ntu-101-R99942099-1.pdf: 2531147 bytes, checksum: 81603b1900fff4482e152d0b82080a69 (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | Contents
致謝i 中文摘要ii Abstract iii 1 Introduction 1 1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Cover Songs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 MIREX 2011: Audio Cover Song Identification . . . . . . . . . . . . . . . 2 1.4 Organization of the thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2 Scientific Background 4 2.1 Musical Variations Between Cover Versions . . . . . . . . . . . . . . . . . 4 2.2 Survey of Related Works . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2.1 Melody-based Methods . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2.2 Harmonic-based Methods . . . . . . . . . . . . . . . . . . . . . . . 6 2.3 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3 Feature Extraction 8 3.1 Chromagram Calculation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3.1.1 Pitch Class Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.1.2 Harmonic Pitch Class Profile . . . . . . . . . . . . . . . . . . . . . 9 3.1.3 Chroma DCT-Reduced log Pitch (CRP) . . . . . . . . . . . . . . . 12 3.1.4 Tuning: Reference Frequency Determination . . . . . . . . . . . . 13 3.2 Tonal Centroid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.3 Beat Tracking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 4 Audio Cover Song Identification System 19 4.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 4.2 Pre-processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 4.2.1 Descriptor extraction . . . . . . . . . . . . . . . . . . . . . . . . . . 19 4.2.2 Transposition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4.2.3 Beat Averaging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4.2.4 Delay Coordinates Embedding . . . . . . . . . . . . . . . . . . . . 22 4.3 Cross Recurrence Plot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 4.4 Recurrence Plot Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 4.5 Score Normalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 5 Evaluation 28 5.1 Music Collection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 5.2 Evaluation Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 5.3 Evaluation Result . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 5.3.1 Feature selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 5.3.2 Effectiveness of GTM . . . . . . . . . . . . . . . . . . . . . . . . . 30 5.3.3 Effectiveness of score normalization . . . . . . . . . . . . . . . . . 31 5.3.4 Comparison with existing systems . . . . . . . . . . . . . . . . . . 31 6 Conclusions and future works 32 6.1 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 6.2 Future works . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Bibliography 34 Appendix A: CYC399 38 | |
| dc.language.iso | en | |
| dc.subject | 動態時間校正 | zh_TW |
| dc.subject | 時頻分析 | zh_TW |
| dc.subject | 音樂資訊檢索 | zh_TW |
| dc.subject | 翻唱歌曲辨識 | zh_TW |
| dc.subject | 音色頻譜 | zh_TW |
| dc.subject | Music Information Retrieval | en |
| dc.subject | Chromagram. | en |
| dc.subject | Time frequency analysis | en |
| dc.subject | Dynamic Time Warping | en |
| dc.subject | Cover song identification | en |
| dc.title | 基於節拍同步和音色不變量之音色頻譜和交叉遞回圖分析之翻唱歌曲辨識系統 | zh_TW |
| dc.title | Audio Cover Song Identification Based On Beat-Synchronous Timbre-Invariant Chromagram and Cross Recurrence Plot Analysis | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 王新民 | |
| dc.contributor.oralexamcommittee | 蔡偉和 | |
| dc.subject.keyword | 音樂資訊檢索,翻唱歌曲辨識,時頻分析,動態時間校正,音色頻譜, | zh_TW |
| dc.subject.keyword | Music Information Retrieval,Cover song identification,Dynamic Time Warping,Time frequency analysis,Chromagram., | en |
| dc.relation.page | 46 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2012-08-03 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位： | 電信工程學研究所 | |
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