Music data mining li, ogihara tzanetakis 2011 07 12

, 172 Wavlist.com, 85 Web 1.0, 220 Web 2.0, 220 Webster’s, 175 Wedin, L., 142 Weinsberg, U., 241 Weka, 186, 190, 191 West, B.J., 181 360 West, K., 300 Whitman, B., 230, 239 Wicentowski, R., 277 Widmer, G., 227 Wieczorkowska, A.A., 122, 123, 125 Wikipedia, 225 Wilkinson, J., 211 Window, 47 Blackman, 47 Hamming, 47, 59, 102 Hann, 47 rectangular, 47 texture, 53, 54, 56 WLP, see Warped linear prediction Wold, E., 20 Woos, D., 277 WordNet, 156 WordNet-Affect, 156 WRS, see Relevance Scoring, Weighted Wundt Curve, 307 Wundt, W.M., 142, 307 Xiao, L., 19 Xu, C., 27 Yang, D., 147, 151, 152 Yang, Y.-H., 23, 157, 175 Yazdani, M., 277 YIN pitch extraction method, 65 Yoshii, K., 121 You, W., 28 Z-score, 268 Zadel, M., 235, 236 Zalonis, T., 168 Zanzibar, 225 Zero Crossing Rate, 315 Zhang, H.-J., 150 Zipf, G.K., 171, 178 Zipf’s law, see power law Zipf’s law, 171, 178, 181 Zipfian proportion, 181 Index This page intentionally left blank Computer Science The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters With a focus on data classification, it then describes a computational approach inspired by human auditory perception and examines instrument recognition, the effects of music on moods and emotions, and the connections between power laws and music aesthetics Given the importance of social aspects in understanding music, the text addresses the use of the Web and peer-to-peer networks for both music data mining and evaluating music mining tasks and algorithms It also discusses indexing with tags and explains how data can be collected using online human computation games The final chapters offer a balanced exploration of hit song science as well as a look at symbolic musicology and data mining K11597 Li, Ogihara, and Tzanetakis The multifaceted nature of music information often requires algorithms and systems using sophisticated signal processing and machine-learning techniques to better extract useful information An excellent introduction to the field, this volume presents state-ofthe-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections Music Data Mining Chapman & Hall/CRC Data Mining and Knowledge Discovery Series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series Music Data Mining EDITED BY Tao Li Mitsunori Ogihara George Tzanetakis ... researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing The book first covers music data mining tasks... state-ofthe-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections Music Data Mining Chapman & Hall/CRC Data Mining and Knowledge... exploration of hit song science as well as a look at symbolic musicology and data mining K11597 Li, Ogihara, and Tzanetakis The multifaceted nature of music information often requires algorithms and systems