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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 黃寶儀(Polly Huang) | |
dc.contributor.author | David Chawei Hsu | en |
dc.contributor.author | 許加緯 | zh_TW |
dc.date.accessioned | 2021-06-12T18:14:43Z | - |
dc.date.available | 2007-09-03 | |
dc.date.copyright | 2007-09-03 | |
dc.date.issued | 2007 | |
dc.date.submitted | 2007-08-30 | |
dc.identifier.citation | [1] M. M. Bradley and P. J. Lang. Affective norms for english words, 1999.
[2] P. Brossier. Automatic annotation of musical audio for interactive systems. PhD thesis, Centre for Digital music, Queen Mary University of London, 2006. [3] C. Fellbaum, editor. Wordnet: An Electronic Lexical Database. Bradford Books, March 1998. [4] K. Hevner. Experimental studies of the elements of expression in music. In American Journal of Psychology, 48 (1936), 246 268., 1936. [5] D. B. Lenat. CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM, 38(11):33--38, 1995. [6] T. Li and M. Ogihara. Detecting emotion in music, 2003. [7] H. Lieberman and H. Liu. Adaptive linking between text and photos using common sense reasoning, 2002. [8] H. Liu. Montylingua: An end-to-end natural language processor with common sense, 2004. web.media.mit.edu/ hugo/montylingua. [9] H. Liu, H. Lieberman, and T. Selker. A model of textual affect sensing using real-world knowledge. In Proceedings of the Seventh International Conference on Intelligent User Interfaces, pages 125--132, 2003., 2003. [10] H. Liu, T. Selker, and H. Lieberman. Visualizing the affective structure of a text document. In Proceedings of the Conference on Human Factors in Computing Systems, CHI 2003, April 5-10, 2003, Ft. Lauderdale, FL, USA. ACM 2003, pages 740--741, 2003. [11] H. Liu and P. Singh. Conceptnet: A practical commonsense reasoning toolkit. In BT Technology Journal, To Appear. Volume 22, forthcoming issue. Kluwer Academic Publishers, 2004. [12] A. Mehrabian. The pad comprehensive emotion (affect, feeling) tests, 1995. http://www.kaaj.com/psych/ scales/emotion.html. [13] O. Meyers. Mysoundtrack: A commonsense playlist generator, 2005. http://web.media.mit.edu/~meyers/mysoundtrack.pdf. [14] All music guide. http://www.allmusic.com/. [15] Musicovery : interactive webradio. http://www.musicovery.com. [16] Pandora - radio from the music genome project. http://www.pandora.com. [17] E. Shen, H. Lieberman, and F. Lam. What am i gonna wear?: Scenatio-oriented recommendation. In Proceedings of the International Conference on Intelligent User Interface, IUI 2007, Jan 28-31, 2007, Honolulu, Hawaii, USA, 2007. [18] P. Singh, T. Lin, E. Mueller, G. Lim, T. Perkins, and W. Zhu. Open mind common sense: Knowledge acquisition from the general public. In Proceedings of the First International Conference on Ontologies, Databases, and Applications of Semantics for Large Scale Information Systems. Lecture Notes in Computer Science (Volume 2519). Heidelberg: Springer-Verlag., 2002. [19] K. Sjolander. Snack sound toolkit, 1997. http://www.speech.kth.se/snack/. [20] P. J. Stone, D. C. Dunphy, M. S. Smith, and D. M. Ogilvie. The general inquirer - a computer approach to content analysis. In MIT Press, Cambridge, MA, 1966. http://www.wjh.harvard.edu/ inquirer/. [21] G. Tzanetakis and P. Cook. Marsyas: A framework for audio analysis, 2000. http://opihi.cs.uvic.ca/marsyas/. [22] A. J. N. van Breemen and C. Bartneck. An emotional interface for a music gathering application. In Intelligent User Interfaces, pages 307--309, 2003. http:// doi.acm.org/10.1145/604045.604107. [23] B. van de Laar. Emotion detection in music, a survey, 2006. [24] T. L. Wu and S. K. Jeng. Automatic emotion classification of musical segments. In 9th International Conference on Music Perception and Cognitio (ICPMC 2006), Bologna, Italy, 2006. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/27669 | - |
dc.description.abstract | 隨著音樂技術的發達,如今製作一首歌曲的門檻和難度已經非常低。也因此充斥在這個世界上的音樂變得玲郎滿目,要尋找一些自己想要聽的歌,常常無從找起。 一首歌曲包含有許多的資訊和感覺。所謂資訊包括聆聽者欣賞時的旋律、音訊;可閱讀的歌詞;一些背景資訊像是演奏者、歌名、專輯名稱、年份、音樂類型等,這些都可以說是一首歌所擁有的資訊。當然人與人之間所分享的知識也包括在其中。有人提供歌詞含意;有人分享心得;有人對歌曲下標籤;有人提供評分。這些也都是在做音樂分析上很重要的資源。
本論文延續了音樂分析的精神,專注於研究歌詞與歌曲背景對音樂情緒分析的影響,進而證明此資訊的重要性。這些資訊大部份以文字為主,因此本論文使用常識運算(Commonsense Computing)解決歌詞與歌曲背景的關鍵字擷取與情緒轉換的問題。並在論文最後實作iPlayr,一個提供基於情感及關鍵字搜尋的音樂平台。 再根據實驗結果,說明歌詞與歌曲背景的重要性。並在最後提出未來關於使用者與音樂可以有的互動與延伸。 | zh_TW |
dc.description.abstract | With the development of the music technique, producing a song becomes much more easier. Consequently, it makes the songs existing in this world become more and more or even uncountable. If the user wants to search some particular songs that fit the user's feeling, it would be a tough task. Each song contains lots of information and feelings. Generally, the content of the song such as the melody or the lyrics, or the context like artist name, title, album, genre, etc. are defined to be the essential elements and information of a song.
In this thesis, we focus on the textual and contextual analysis of music to verify their importance in music emotion analysis. We utilize Commonsense Computing to solve the emotion and keyword extraction problems. Based on these analyses, we build up an emotion-aware music platform, iPlayr, to demonstrate our ideas. Moreover, according to the evaluation results, we explain how these textual and contextual information affect the completeness and accuracy of music emotion analysis. | en |
dc.description.provenance | Made available in DSpace on 2021-06-12T18:14:43Z (GMT). No. of bitstreams: 1 ntu-96-R94921028-1.pdf: 1074901 bytes, checksum: bb2839ead2e09abe1d7a5d05d9b70448 (MD5) Previous issue date: 2007 | en |
dc.description.tableofcontents | Acknowledgments. . . . . . . . . . . . . . . . i
Abstract. . . . . . . . . . . . . . . . iii List of Figures. . . . . . . . . . . . . . . . ix List of Tables. . . . . . . . . . . . . . . . x Chapter 1 Introduction 1 1.1 Query by Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.1.1 Scenarios . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Problem Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Our Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.4 Thesis Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 Chapter 2 Related Work 5 2.1 Music Recommendation System . . . . . . . . . . . . . . . . . . . . .6 2.1.1 Web Radio . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.1.2 Social Music Platform . . . . . . . . . . . . . . . . . . . . . . . . . . .6 2.1.3 Emotion-aware Recommender . . . . . . . . . . . . . . . . . . . 7 2.2 Emotion Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.2.1 Paul Ekman's six universal facial emotions . . . . . . . . . . .7 2.2.2 Kate Hevner's Adjective Circle . . . . . . . . . . . . . . . . . . . . 8 2.2.3 Albert Mehrabian's PAD . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.3 Commonsense Computing . . . . . . . . . . . . . . . . . . . . . . . . 9 2.3.1 Cyc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.3.2 WordNet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.3.3 Open Mind Common Sense . . . . . . . . . . . . . . . . . . . . . . 10 2.3.4 ConceptNet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Chapter 3 Music Analysis 13 3.1 Textual Analyzer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.1.1 Phrase Extractor --- Structure Extraction . . . . . . . . . . . 13 3.1.2 Text-to-PAD Converter --- Emotion Extraction . . . . . . 14 3.1.3 Keyword Extraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . .18 3.2 Lyrics Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .19 3.3 Metadata Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3.4 Melody Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .21 3.4.1 Basic Acoustic Feature Extraction and Analysis . . . . . . . . .21 3.4.2 MelodyDB . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Chapter 4 Application 23 4.1 Prototype . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .23 4.2 How to Find the Matched Songs? . . . . . . . . . . . . . . . . . . . . 24 4.2.1 Based on User's Query . . . . . . . . . . . . . . . . . . . . . . . . . . .24 Chapter 5 Evaluation 27 5.1 Recommender Comparison . . . . . . . . . . . . . . . . . . . . . . . . .27 5.1.1 Setting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .27 5.1.2 Procedure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 5.1.3 Results and Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Chapter 6 Conclusion 31 6.1 Summary of Contribution . . . . . . . . . . . . . . . . . . . . . . . . . .31 6.2 What is Next? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .32 6.2.1 Explore Your Interest . . . . . . . . . . . . . . . . . . . . . . . . . . . .32 6.2.2 Share Your Knowledge . . . . . . . . . . . . . . . . . . . . . . . . . . .33 Bibliography 35 | |
dc.language.iso | en | |
dc.title | iPlayr - 情緒感知音樂平台 | zh_TW |
dc.title | iPlayr - an Emotion-aware Music Platform | en |
dc.type | Thesis | |
dc.date.schoolyear | 95-2 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 許永真(Jane Yung-jen Hsu) | |
dc.contributor.oralexamcommittee | 鄭士康(Shyh-Kang Jeng),陳淑惠(Sue-Huei Chen),張智星(Jyh-Shing Roger Jang) | |
dc.subject.keyword | 常識運算,情緒擷取,關鍵字擷取,歌詞,音樂資訊擷取,音樂推薦系統, | zh_TW |
dc.subject.keyword | commonsense computing,emotion extraction,keyword extraction,lyrics,music information retrieval,music recommendation system, | en |
dc.relation.page | 36 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2007-08-31 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
顯示於系所單位: | 電機工程學系 |
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