论文信息 - NOVELTY DETECTION FOR SPECTRAL SIMILARITY OF SONGS

NOVELTY DETECTION FOR SPECTRAL SIMILARITY OF SONGS

We are introducing novelty detection, i.e. the automatic identification of new or unknown data not covered by the training data, to the field of music information retrieval. Two methods for novelty detection are evaluated within the context of genre classification based on spectral similarity. Both the method based solely on the similarity information and the one also utilizing genre label information perform equally well.

[1] Beth Logan,et al. A music similarity function based on signal analysis , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

[2] Beth Logan,et al. Mel Frequency Cepstral Coefficients for Music Modeling , 2000, ISMIR.

[3] Christopher M. Bishop,et al. Novelty detection and neural network validation , 1994 .

[4] Sameer Singh,et al. Novelty detection: a review - part 1: statistical approaches , 2003, Signal Process..

[5] David J. C. MacKay,et al. The Evidence Framework Applied to Classification Networks , 1992, Neural Computation.

[6] Martin E. Hellman,et al. The Nearest Neighbor Classification Rule with a Reject Option , 1970, IEEE Trans. Syst. Sci. Cybern..

[7] Robert P. W. Duin,et al. Outlier Detection Using Classifier Instability , 1998, SSPR/SPR.

[8] C. Metz. Basic principles of ROC analysis. , 1978, Seminars in nuclear medicine.

[9] François Pachet,et al. Improving Timbre Similarity : How high’s the sky ? , 2004 .

[10] Elias Pampalk. A Matlab Toolbox to Compute Music Similarity from Audio , 2004, ISMIR.

[11] François Pachet,et al. Music Similarity Measures: What's the use? , 2002, ISMIR.

[12] Sameer Singh,et al. Novelty detection: a review - part 2: : neural network based approaches , 2003, Signal Process..

[13] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..