All Issue

2016 Vol.35, Issue 2
31 March 2016. pp. 83-91
Abstract
References
1
1.Z. Fu, G. Lu, K.M. Ting, and D. Zhang, “A survey of audio-based music classification and annotation,” IEEE Trans. Multimedia 13, 303-319 (2011).
2
2.M. Casey, R. Veltkamp, M. Goto, M. Leman, C. Rhodes, and M. Slaney, “Content-based music information retrieval: current directions and future challenges,” Proceedings of the IEEE 96, 668-696 (2008).
3
3.J. Seo, “A robust audio fingerprinting method based on segmentation boundaries” (in Korean) J. Acoust. Soc. Kr. 31, 260-265 (2012).
4
4.C. Park, M. Park, S. Kim, and H. Kim, “Music identification using pitch histogram and MFCC-VQ dynamic pattern” (in Korean), J. Acoust. Soc. Kr. 24, 178-185 (2005).
5
5.G. Tzanetakis and P. Cook, “Musical genre classification of audio signals,” IEEE Trans. Speech and Audio Process. 10 , 293-302 (2002).
6
6.J. Seo, “A musical genre classification method based on the octave-band order statistics” (in Korean), J. Acoust. Soc. Kr. 33, 81-86 (2014).
7
7.B. Logan and A. Salomon, “A music similarity function based on signal analysis,” in Proc. ICME-2001, 745-748 (2001).
8
8.C. Cao and M. Li, “Thinkit’s submissions for MIREX2009 audio music classification and similarity tasks,” in Mirex abstracts of ISMIR-2009, (2009).
9
9.C. Charbuillet, D. Tardieu, and G. Peeters, “GMM supervector for content based music similarity,” in Proc. DAFx-11, 425-428 (2011).
10
10.J. Seo, “A music similarity function based on the centroid model,” IEICE Trans. Information and Systems 96, 1573- 1576 (2013).
11
11.D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, “Speaker verification using adapted Gaussian mixture models,” Digital Signal Processing 10, 19-41 (2000).
12
12.W. M. Campbell, D. E. Sturim, and D. A. Reynolds, “Support vector machines using GMM supervectors for speaker verification,” IEEE Signal Processing Letters 13, 308-311 (2006).
13
13.F. Liese and I. Vajda, “On divergences and informations in statistics and information theory,” IEEE Trans. Information Theory 52, 4394-4412 (2006).
14
14.L. Pardo, “Statistical inference based on divergence measures,” CRC press 2005.
15
15.M. Gil, F. Alajaji, and T. Linder, “Renyi divergence measures for commonly used univariate continuous distributions,” Information Sciences 249, 124-131 (2013).
16
16.A. Renyi, “On measures of entropy and information,” in Proc. Berkeley Symp. Probability Theory and Mathematical Statist., 547-561 (1961).
17
17.T. V. Erven and P. Harremoes, “Renyi divergence and Kullback-Leibler divergence,” IEEE Trans. Information Theory 60, 3797-3820 (2014).
18
18.V. Hautamaki, T. Kinnunen, I. Karkkainen, J. Saastamoinen, M. Tuononen, and P. Franti, “Maximum a posteriori adaptation of the centroid model for speaker verification,” IEEE Signal Process. Letters 15 , 162-165 (2008).
19
19.J. Seo, “A speaker change detection method based on a weighted distance measure over the centroid model,” IEICE Trans. Information and Systems 95, 1543-1546 (2012).
20
20.F. Alajaji, P. N. Chen, and Z. Rached, “Csiszar’s cutoff rates for the general hypothesis testing problem,” IEEE Trans. Information Theory 50, 663-678 (2004).
21
21.P. Harremoes, “Interpretations of Renyi entropies and divergences,” Physica A: Statistical Mechanics and its Applications 365, 57-62 (2006).
22
22.A. O. Hero, B. Ma, O. Michel, and J. Gorman, “Alpha- divergence for classification, indexing and retrieval,” Tech. rep., University of Michigan, (2001).
23
23.H. G. Kim, and D. Shin, “Speaker verification using SVM kernel with GMM-supervector based on the Mahalanobis distance” (in Korean), J. Acoust. Soc. Kr. 29, 216-221 (2010).
24
24.J. Lee, “How similar is too similar?: Exploring users’ perceptions of similarity in playlist evaluation,” in Proc. ISMIR, 109-114 (2011).
Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 35
  • No :2
  • Pages :83-91
  • Received Date : 2015-08-20
  • Revised Date : 2015-11-02
  • Accepted Date : 2015-12-18