{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T04:04:10Z","timestamp":1746158650570,"version":"3.40.4"},"publisher-location":"New Delhi","reference-count":28,"publisher":"Springer India","isbn-type":[{"type":"print","value":"9788132216643"},{"type":"electronic","value":"9788132216650"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-81-322-1665-0_26","type":"book-chapter","created":{"date-parts":[[2013,12,17]],"date-time":"2013-12-17T10:47:18Z","timestamp":1387277238000},"page":"267-276","source":"Crossref","is-referenced-by-count":0,"title":["Genre-Based Classification of Song Using Perceptual Features"],"prefix":"10.1007","author":[{"given":"Arijit","family":"Ghosal","sequence":"first","affiliation":[]},{"given":"Rudrasis","family":"Chakraborty","sequence":"additional","affiliation":[]},{"given":"Bibhas Chandra","family":"Dhara","sequence":"additional","affiliation":[]},{"given":"Sanjoy Kumar","family":"Saha","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"26_CR1","unstructured":"Scaringella, N., Zoia, G.: On the modeling of time information for automatic genre recognition systems in audio signals. In: Proceedings of the 6th International Symposium on Music Information Retrieval, London, UK (2005)"},{"key":"26_CR2","unstructured":"Ghosal, A., Chakraborty, R., Dhara, B.C., Saha, S.K.: Music classification based on MFCC variants and amplitude variation pattern: a hierarchical approach. Int. J. Sig. Process. Image Process. Pattern Recogn. 5(1) (2012)"},{"key":"26_CR3","unstructured":"West, K., Cox, S.: Features and classifiers for the automatic classification of musical audio signals. In: International Symposium on Music Information Retrieval (2004)"},{"issue":"1","key":"26_CR4","first-page":"1","volume":"1","author":"JJ Aucouturier","year":"2004","unstructured":"Aucouturier, J.J., Pachet, F.: Improving timbre similarity: how highs the sky? J. Negative Results Speech Audio Sci. 1(1), 1 (2004)","journal-title":"J. Negative Results Speech Audio Sci."},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Logan, B., Salomon, A.: A music similarity function based on signal analysis. In: ICME 2001, Tokyo, Japan (2001)","DOI":"10.1109\/ICME.2001.1237829"},{"issue":"5","key":"26_CR6","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1109\/TSA.2002.800560","volume":"10","author":"G Tzanetakis","year":"2002","unstructured":"Tzanetakis, G., Cook, P.: Musical genre classification of audio signals. IEEE Trans. Speech Audio Process. 10(5), 293\u2013302 (2002)","journal-title":"IEEE Trans. Speech Audio Process."},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Whitman, B., Flake, G., Lawrence, S.: Artist detection in music with minnow match. In: IEEE Workshop on Neural Networks for Signal Processing, pp. 559\u2013568. Falmouth, Massachusetts, 10\u201312 September 2001","DOI":"10.1109\/NNSP.2001.943160"},{"key":"26_CR8","unstructured":"Xu, C., Maddage, N.C., Shao, X., Cao, F., Tian, Q.: Musical genre classification using support vector machines. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (2003)"},{"key":"26_CR9","volume-title":"Advances in Neural Information Processing Systems 16","author":"PJ Moreno","year":"2004","unstructured":"Moreno, P.J., Ho, P.P., Vasconcelos, N.: A kullback-leibler divergence based kernel for SVM classification in multimedia applications. In: Thrun, S., Saul, L., Scholkopf, B. (eds.) Advances in Neural Information Processing Systems 16. MIT Press, Cambridge (2004)"},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Solatu, H., Schultz, T., Westphal, M., Waibel, A.: Recognition of music types. In: IEEE Conference on Acoustics, Speech and Signal Processing, pp. 1137\u20131140 (1998)","DOI":"10.1109\/ICASSP.1998.675470"},{"key":"26_CR11","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1121\/1.421129","volume":"103","author":"E Scheirer","year":"1998","unstructured":"Scheirer, E.: Tempo and beat analysis of acoustic musical signals. J. Acoust. Soc. Am. 103, 588 (1998)","journal-title":"J. Acoust. Soc. Am."},{"key":"26_CR12","unstructured":"Laroche, J.: Estimating tempo, swing and beat locations in audio recordings. In: Workshop on Application of Signal Processing to Audio and Acoustics (WASPAA) (2001)"},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Foote, J.T., Uchihashi, S., The beat spectrum: a new approach to rhythmic analysis. In: IEEE International Conference on Multimedia and Expo (ICME) (2001)","DOI":"10.1109\/ICME.2001.1237863"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Lin, C.R., Liu, N.H., wu, Y.H., Chen, A.L.P.: Music classification using significant repeating patterns. In: LNCS, vol. 2973, pp. 506\u2013518 (2004)","DOI":"10.1007\/978-3-540-24571-1_47"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Lo, Y.L., Lin, Y.C.: Content-based music classification. In: International Conference on Computer Science and Information Technology, vol. 2, pp. 112\u2013116 (2010)","DOI":"10.1109\/ICCSIT.2010.5563642"},{"key":"26_CR16","unstructured":"Grimaldi, M., Cunningham, P., Kokaram, A.: An evaluation of alternative feature selection strategies and ensemble techniques for classifying music. In: Workshop on Multimedia Discovery and Mining (2003)"},{"key":"26_CR17","unstructured":"Jiang, D.N., Lu, L., Zhang, H.J., Tao, J.H., Cai, L.H.: Music type classification by spectral contrast feature. In: IEEE International Conference on Multimedia and Expo (ICME) (2002)"},{"key":"26_CR18","unstructured":"Lidy, T., Rauber, A.: Evaluation of feature extractors and psycho-acoustic transformations for music genre classification. In: Proceedings of the 6th International Symposium on Music Information Retrieval, London, UK (2005)"},{"key":"26_CR19","doi-asserted-by":"crossref","unstructured":"Lee, C.H., Lin, H.S., Chou, C.H., Shih, J.L.: Modulation spectral analysis of static and transitional information of cepstral and spectral features for music genre classification. In: International Conference on Intelligent Hiding and Multimedia Signal Processing, pp. 1030\u20131033 (2009)","DOI":"10.1109\/IIH-MSP.2009.256"},{"key":"26_CR20","doi-asserted-by":"crossref","unstructured":"Zhen, C., Xu, J.: Multi-modal music genre classification approach. In: International Conference on Computer Science and Information Technology, vol. 8, pp. 398\u2013402 (2010)","DOI":"10.1109\/ICCSIT.2010.5564489"},{"key":"26_CR21","doi-asserted-by":"crossref","unstructured":"Garcia, D.G., Garcia, J.A., Hernandez, F.D., Maria, F.D.: Music genre classification using temporal structure of songs. In: IEEE International Workshop on Machine Learning for Signal Processing, pp. 266\u2013271 (2010)","DOI":"10.1109\/MLSP.2010.5589240"},{"key":"26_CR22","doi-asserted-by":"crossref","unstructured":"Simsekli, U.: Automatic music genre classification using bass lines. In: International Conference on Pattern Recognition, pp. 4137\u20134140 (2010)","DOI":"10.1109\/ICPR.2010.1006"},{"key":"26_CR23","unstructured":"Costa, Y.M.G., Oliveira, L.S., Koreich, A.L., Gouyon, F.: Music genre recognition using spectrograms. In: International Conference on Systems, Signal and Image Processing, pp. 1\u20134 (2011)"},{"key":"26_CR24","doi-asserted-by":"crossref","unstructured":"Ren, J.M., Chen, Z.S., Jang, J.S.R.: On the use of sequential patterns mining as temporal features for music genre classification. In: IEEE Conference on Acoustics, Speech and Signal Processing, pp. 2294\u20132297 (2010)","DOI":"10.1109\/ICASSP.2010.5495955"},{"key":"26_CR25","unstructured":"Peeters, G.: A large set of audio features for sound description (similarity and classification). CUIDADO project, CUIDADO I.S.T. Project Report (2004)"},{"key":"26_CR26","unstructured":"West, K., Cox, S.: Finding an optimal segmentation for audio genre classification. In: Proceedings of the 6th International Symposium on Music Information Retrieval, London, UK (2005)"},{"key":"26_CR27","unstructured":"M\u00fcller, M., Ewert, S.: Chroma toolbox: MATLAB implementations for extracting variants of chroma-based audio features. In: Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR), Miami, USA (2011)"},{"key":"26_CR28","unstructured":"Grosche, P., M\u00fcller, M.: Tempogram toolbox: MATLAB tempo and pulse analysis of music recordings. In: 12th International Conference on Music Information Retrieval (ISMIR, late-breaking contribution), Miami, USA (2011)"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Computing, Networking, and Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-81-322-1665-0_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T06:20:00Z","timestamp":1746080400000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-81-322-1665-0_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9788132216643","9788132216650"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-81-322-1665-0_26","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2014]]}}}