{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T11:47:11Z","timestamp":1725882431184},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319557496"},{"type":"electronic","value":"9783319557502"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-55750-2_21","type":"book-chapter","created":{"date-parts":[[2017,3,21]],"date-time":"2017-03-21T06:57:24Z","timestamp":1490079444000},"page":"304-320","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Generalisation Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples"],"prefix":"10.1007","author":[{"given":"Igor","family":"Vatolkin","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,22]]},"reference":[{"key":"21_CR1","unstructured":"Abdoli, S.: Iranian traditional music dastgah classification. In: Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR), pp. 275\u2013280 (2011)"},{"key":"21_CR2","unstructured":"Agarwal, P., Karnick, H., Raj, B.: A comparative study of Indian and western music forms. In: Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR), pp. 29\u201334 (2013)"},{"key":"21_CR3","unstructured":"Benetos, E., Holzapfel, A.: Automatic transcription of Turkish makam music. In: Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR), pp. 355\u2013360 (2013)"},{"issue":"3","key":"21_CR4","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1121\/1.1342075","volume":"109","author":"JC Brown","year":"2001","unstructured":"Brown, J.C., Houix, O., Mcadams, S.: Feature dependence in the automatic identification of musical woodwind instruments. J. Acoust. Soc. Am. 109(3), 1064\u20131072 (2001)","journal-title":"J. Acoust. Soc. Am."},{"issue":"2","key":"21_CR5","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1142\/S0219720005001004","volume":"3","author":"CHQ Ding","year":"2005","unstructured":"Ding, C.H.Q., Peng, H.: Minimum redundancy feature selection from microarray gene expression data. J. Bioinform. Comput. Biol. 3(2), 185\u2013205 (2005)","journal-title":"J. Bioinform. Comput. Biol."},{"issue":"3","key":"21_CR6","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1080\/09298215.2011.602195","volume":"40","author":"T Eerola","year":"2011","unstructured":"Eerola, T.: Are the emotions expressed in music genre-specific? An audio-based evaluation of datasets spanning classical, film, pop and mixed genres. J. New Music Res. 40(3), 349\u2013366 (2011)","journal-title":"J. New Music Res."},{"issue":"3","key":"21_CR7","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1525\/mp.2008.25.3.253","volume":"25","author":"T Eerola","year":"2008","unstructured":"Eerola, T., Ferrer, R.: Instrument library (MUMS) revised. Music Percept. 25(3), 253\u2013255 (2008)","journal-title":"Music Percept."},{"key":"21_CR8","unstructured":"Eggink, J., Brown, G.J.: Instrument recognition in accompanied sonatas and concertos. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 217\u2013220 (2004)"},{"key":"21_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/978-3-540-31880-4_5","volume-title":"Evolutionary Multi-Criterion Optimization","author":"M Emmerich","year":"2005","unstructured":"Emmerich, M., Beume, N., Naujoks, B.: An EMO algorithm using the hypervolume measure as selection criterion. In: Coello Coello, C.A., Hern\u00e1ndez Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, vol. 3410, pp. 62\u201376. Springer, Heidelberg (2005). doi:10.1007\/978-3-540-31880-4_5"},{"key":"21_CR10","unstructured":"Eronen, A.J., Klapuri, A.: Musical instrument recognition using cepstral coefficients and temporal features. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 753\u2013756 (2000)"},{"issue":"1","key":"21_CR11","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1109\/TSA.2005.860351","volume":"14","author":"S Essid","year":"2006","unstructured":"Essid, S., Richard, G., David, B.: Instrument recognition in polyphonic music based on automatic taxonomies. IEEE Trans. Audio Speech Lang. Process. 14(1), 68\u201380 (2006)","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"21_CR12","unstructured":"Fuhrmann, F.: Automatic musical instrument recognition from polyphonic music audio signals. Ph.D. thesis, Universitat Pompeu Fabra (2012)"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Gaikwad, S., Chitre, A.V., Dandawate, Y.H.: Classification of Indian classical instruments using spectral and principal component analysis based cepstrum features. In: Proceedings of the 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies (ICESC), pp. 276\u2013279 (2014)","DOI":"10.1109\/ICESC.2014.52"},{"key":"21_CR14","unstructured":"Goto, M., Hashiguchi, H., Nishimura, T., Oka, R.: RWC music database: Music genre database and musical instrument sound database. In: Proceedings of the 4th International Conference on Music Information Retrieval (ISMIR), pp. 229\u2013230 (2003)"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Gunasekaran, S., Revathy, K.: Fractal dimension analysis of audio signals for Indian musical instrument recognition. In: Proceedings of the International Conference on Audio, Language and Image Processing (ICALIP), pp. 257\u2013261 (2008)","DOI":"10.1109\/ICALIP.2008.4590238"},{"key":"21_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-35488-8","volume-title":"Feature Extraction: Foundations and Applications","author":"I Guyon","year":"2006","unstructured":"Guyon, I., Nikravesh, M., Gunn, S., Zadeh, L.A.: Feature Extraction: Foundations and Applications. Springer, Heidelberg (2006)"},{"key":"21_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning","author":"T Hastie","year":"2009","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. Springer, New York (2009)"},{"key":"21_CR18","unstructured":"Heittola, T., Klapuri, A., Virtanen, T.: Musical instrument recognition in polyphonic audio using source-filter model for sound separation. In: Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR), pp. 327\u2013332 (2009)"},{"key":"21_CR19","unstructured":"Koduri, G.K., Miron, M., Serr\u00e0, J., Serra, X.: Computational approaches for the understanding of melody in carnatic music. In: Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR), pp. 263\u2013268 (2011)"},{"key":"21_CR20","unstructured":"Lartillot, O., Toiviainen, P.: MIR in Matlab (II): A toolbox for musical feature extraction from audio. In: Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR), pp. 127\u2013130 (2007)"},{"key":"21_CR21","doi-asserted-by":"crossref","unstructured":"Lashari, S.A., Ibrahim, R., Senan, N.: Soft set theory for automatic classification of traditional pakistani musical instruments sounds. In: Proceedings of the International Conference on Computer Information Science (ICCIS), pp. 94\u201399 (2012)","DOI":"10.1109\/ICCISci.2012.6297219"},{"issue":"4","key":"21_CR22","doi-asserted-by":"publisher","first-page":"1032","DOI":"10.1016\/j.sigpro.2009.09.014","volume":"90","author":"T Lidy","year":"2010","unstructured":"Lidy, T., Silla Jr., C.N., Cornelis, O., Gouyon, F., Rauber, A., Kaestner, C.A.A., Koerich, A.L.: On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-Western and ethnic music collections. Signal Process. 90(4), 1032\u20131048 (2010)","journal-title":"Signal Process."},{"key":"21_CR23","unstructured":"Livshin, A., Rodet, X.: The significance of the non-harmonic \u201cnoise\u201d versis the harmonic series for musical instrument recognition. In: Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR), pp. 95\u2013100 (2006)"},{"key":"21_CR24","unstructured":"McEnnis, D., McKay, C., Fujinaga, I.: jAudio: Additions and improvements. In: Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR), pp. 385\u2013386 (2006)"},{"issue":"2\u20133","key":"21_CR25","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/s10994-005-5824-7","volume":"58","author":"I Mierswa","year":"2005","unstructured":"Mierswa, I., Morik, K.: Automatic feature extraction for classifying audio data. Mach. Learn. J. 58(2\u20133), 127\u2013149 (2005)","journal-title":"Mach. Learn. J."},{"key":"21_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74048-3","volume-title":"Information Retrieval for Music and Motion","author":"M M\u00fcller","year":"2007","unstructured":"M\u00fcller, M.: Information Retrieval for Music and Motion. Springer, Heidelberg (2007)"},{"key":"21_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 Society for Music Information Retrieval Conference (ISMIR), pp. 215\u2013220 (2011)"},{"issue":"6","key":"21_CR28","doi-asserted-by":"publisher","first-page":"4785","DOI":"10.1121\/1.4707535","volume":"131","author":"M Newton","year":"2012","unstructured":"Newton, M., Smith, L.: A neurally inspired musical instrument classification system based upon the sound onset. J. Acoust. Soc. Am. 131(6), 4785\u20134798 (2012)","journal-title":"J. Acoust. Soc. Am."},{"key":"21_CR29","unstructured":"Sandrock, T.: Multi-label feature selection with application to musical instrument recognition. Ph.D. thesis, Stellenbosch University (2013)"},{"key":"21_CR30","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1080\/09298215.2013.879902","volume":"43","author":"A Srinivasamurthy","year":"2014","unstructured":"Srinivasamurthy, A., Holzapfel, A., Serra, X.: In search of automatic rhythm analysis methods for Turkish and Indian art music. J. New Music Res. 43, 94\u2013114 (2014)","journal-title":"J. New Music Res."},{"key":"21_CR31","doi-asserted-by":"crossref","unstructured":"Sturm, B.: Evaluating music emotion recognition: Lessons from music genre recognition? In: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), pp. 1\u20136 (2013)","DOI":"10.1109\/ICMEW.2013.6618342"},{"issue":"5","key":"21_CR32","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."},{"issue":"12","key":"21_CR33","first-page":"2027","volume":"16","author":"I Vatolkin","year":"2012","unstructured":"Vatolkin, I., Preu\u00df, M., Rudolph, G., Eichhoff, M., Weihs, C.: Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures. Soft Comput. Fusion Found. Methodologies Appl. 16(12), 2027\u20132047 (2012)","journal-title":"Soft Comput. Fusion Found. Methodologies Appl."},{"key":"21_CR34","unstructured":"Vatolkin, I., Rudolph, G., Weihs, C.: Evaluation of album effect for feature selection in music genre recognition. In: Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR), pp. 169\u2013175 (2015)"},{"key":"21_CR35","doi-asserted-by":"crossref","unstructured":"Zitzler, E., Thiele, L.: Multiobjective optimization using evolutionary algorithms - A comparative case study. In: Proceedings of the 5th International Conference on Parallel Problem Solving from Nature (PPSN), pp. 292\u2013304 (1998)","DOI":"10.1007\/BFb0056872"}],"container-title":["Lecture Notes in Computer Science","Computational Intelligence in Music, Sound, Art and Design"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-55750-2_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T11:13:49Z","timestamp":1710242029000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-55750-2_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319557496","9783319557502"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-55750-2_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"22 March 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}