{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:23:52Z","timestamp":1760243032585,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2015,6,4]],"date-time":"2015-06-04T00:00:00Z","timestamp":1433376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>With the increase in the number of music files on various devices, it can be difficult to locate a desired file, especially when the title of the song or the name of the singer is not known. We propose a new query-by-singing\/humming (QbSH) system that can find music files that match what the user is singing or humming. This research is novel in the following three ways: first, the Fourier descriptor (FD) method is proposed as the first classifier; it transforms the humming or music waveform into the frequency domain. Second, quantized dynamic time warping (QDTW) using symmetrical search space and quantized linear scaling (QLS) are used as the second and third classifiers, respectively, which increase the accuracy of the QbSH system compared to the conventional DTW and LS methods. Third, five classifiers, which include the three already mentioned along with the conventional DTW using symmetrical search space and LS methods, are combined using score level fusion, which further enhances performance. Experimental results with the 2009 MIR-QbSH corpus and the AFA MIDI 100 databases show that the proposed method outperforms those using a single classifier and other fusion methods.<\/jats:p>","DOI":"10.3390\/sym7020994","type":"journal-article","created":{"date-parts":[[2015,6,4]],"date-time":"2015-06-04T11:54:59Z","timestamp":1433418899000},"page":"994-1016","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-Classifier Based on a Query-by-Singing\/Humming System"],"prefix":"10.3390","volume":"7","author":[{"given":"Gi","family":"Nam","sequence":"first","affiliation":[{"name":"Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-Dong 3-ga,  Jung-gu, Seoul 100-715, Korea"}]},{"given":"Kang","family":"Park","sequence":"additional","affiliation":[{"name":"Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-Dong 3-ga,  Jung-gu, Seoul 100-715, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2015,6,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1109\/TCE.2010.5439139","article-title":"Sub-fingerprint masking for a robust audio fingerprinting system in a real-noise environment for portable consumer devices","volume":"56","author":"Son","year":"2010","journal-title":"IEEE Trans. Consum. Electron."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"917","DOI":"10.1109\/TCE.2006.1706489","article-title":"An integrated music recommendation system","volume":"52","author":"Zhu","year":"2006","journal-title":"IEEE Trans. Consum. Electron."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1002\/dac.1187","article-title":"A new query-by-humming system based on the score level fusion of two classifiers","volume":"25","author":"Nam","year":"2012","journal-title":"Int. J. Commun. Syst."},{"key":"ref_4","first-page":"1","article-title":"Intelligent query by humming system based on score level fusion of multiple classifiers","volume":"21","author":"Nam","year":"2011","journal-title":"EURASIP J. Adv. Signal Process."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1109\/TCE.2011.5955213","article-title":"Robust query-by-singing\/humming system against background noise environments","volume":"57","author":"Kim","year":"2011","journal-title":"IEEE Trans. Consum. Electron."},{"key":"ref_6","unstructured":"Wu, X., Li, M., Liu, J., Yang, J., and Yan, Y. (2006, January 13\u201316). A top-down approach to melody match in pitch contour for query by humming. Singapore, Singapore."},{"key":"ref_7","unstructured":"Ryynanen, M., and Klapuri, A. (April, January 31). Query by humming of MIDI and audio using locality sensitive hashing. Las Vegas, NV, USA."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Ghias, A., Logan, J., Chamberlin, D., and Smith, B.C. (1995, January 5\u20139). Query by humming: Musical information retrieval in an audio database. San Francisco, CA, USA.","DOI":"10.1145\/217279.215273"},{"key":"ref_9","unstructured":"Jang, J.-S.R., and Gao, M.-Y. (2000, January 11\u201312). A query-by-singing system based on dynamic programming. Hsinchu, Taiwan."},{"key":"ref_10","unstructured":"Typke, R., Giannopoulos, P., Veltkamp, R.C., Wiering, F., and Oostrum, R.V. (2003, January 27\u201330). Using transportation distances for measuring melodic similarity. Baltimore, MD, USA."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"McNab, R.J., Smith, L.A., Witten, I.H., Henderson, C.L., and Cunningham, S.J. (1996, January 20\u201323). Toward the digital music library: Tune retrieval from acoustic input. Bethesda, MD, USA.","DOI":"10.1145\/226931.226934"},{"key":"ref_12","first-page":"4","article-title":"The New Zealand digital library melody index","volume":"3","author":"McNab","year":"1997","journal-title":"D-Lib Mag."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Blackburn, S., and DeRoure, D. (1998, January 13\u201316). A tool for content based navigation of music. Bristol, UK.","DOI":"10.1145\/290747.290802"},{"key":"ref_14","first-page":"231","article-title":"Themefinder: A web-based melodic search tool","volume":"11","author":"Kornstadt","year":"1998","journal-title":"Comput. Musicol."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Wang, L., Huang, S., Hu, S., Liang, J., and Xu, B. (2008, January 22\u201326). Improving searching speed and accuracy of query by humming system based on three methods: Feature fusion, candidates set reduction and multiple similarity measurement rescoring. Brisbane, Australia.","DOI":"10.21437\/Interspeech.2008-526"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Li, J., Han, J., Shi, Z., and Li, J. (2010, January 16\u201318). An efficient approach to humming transcription for query-by-humming system. Yantai, Shandong, China.","DOI":"10.1109\/CISP.2010.5646801"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"467","DOI":"10.2478\/aoa-2014-0050","article-title":"Follow that tune\u2014Adaptive approach to DTW-based query-by-humming system","volume":"39","author":"Stasiak","year":"2014","journal-title":"Arch. Acoust."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/TASSP.1975.1162641","article-title":"Minimum prediction residual principle applied to speech recognition","volume":"23","author":"Itakura","year":"1975","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1109\/TSA.2003.811544","article-title":"Noise spectrum estimation in adverse environments: Improved minima controlled recursive averaging","volume":"11","author":"Cohen","year":"2003","journal-title":"IEEE Trans. Speech Audio Process."},{"key":"ref_20","unstructured":"Cho, Y.D., Kim, M.Y., and Kim, S.R. (1998, January 15). A spectrally mixed excitation (SMX) vocoder with robust parameter determination. Seattle, WA, USA."},{"key":"ref_21","unstructured":"Gonzalez, R.C., and Woods, R.E. (2002). Digital Image Processing, Prentice Hall."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1049\/iet-cvi.2009.0081","article-title":"Multimodal biometric method based on vein and geometry of a single finger","volume":"4","author":"Kang","year":"2010","journal-title":"IET Comput. Vis."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2115","DOI":"10.1016\/S0167-8655(03)00079-5","article-title":"Information fusion in biometrics","volume":"24","author":"Ross","year":"2003","journal-title":"Pattern Recognit. Lett."},{"key":"ref_24","unstructured":"Wang, C.-C., Jang, J.-S.R., and Wang, W. (2010, January 9\u201313). An improved query by singing\/humming system using melody and lyrics information. Utrecht, The Netherlands."},{"key":"ref_25","unstructured":"Salamon, J., and Rohrmeier, M. (2009, January 26\u201330). A quantitative evaluation of a two stage retrieval approach for a melodic query by example system. Kobe, Japan."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Nam, G.P., and Park, K.R. (2015). Fast query-by-singing\/humming system that combines linear scaling and quantized dynamic time warping algorithm. Int. J. Distrib. Sens. Netw., in press.","DOI":"10.1155\/2015\/176091"},{"key":"ref_27","unstructured":"Available online: http:\/\/www.esac-data.org.\/."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/7\/2\/994\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:47:28Z","timestamp":1760215648000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/7\/2\/994"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,4]]},"references-count":27,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2015,6]]}},"alternative-id":["sym7020994"],"URL":"https:\/\/doi.org\/10.3390\/sym7020994","relation":{},"ISSN":["2073-8994"],"issn-type":[{"type":"electronic","value":"2073-8994"}],"subject":[],"published":{"date-parts":[[2015,6,4]]}}}