Abstract
This paper presents a method of music tunes recognition based on adopted Hough transform. One can also find here experimental results showing the effectiveness of the presented solution. Perspectives of further work and quality improvements are also stated as a base for subsequent research.
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Antiquzzamann, M.: Coarse-to-Fine Search Technique do Detect Circles in Images. Int. J. Adv. Manuf. Technol. 15, 96–102 (1999)
Ballard, D.: Generalizing the Hough Transform to Detect Arbitrary Shapes. Pattern Recognition 13(2), 111–122 (1981)
Bożewicz, D., Pałko, T., Jeżewski, M., Łabaj, P., Kupka, T., Bernyś, M.: Telemedicine Framework for Follow-Up High Risk Pergnancy. In: Proc. 11th Int. Conf. Medical Informatics and Technology, pp. 236–240 (2006)
Cendrowska, D.: Strict Maximum Separability of Two Finite Sets: an Algorithmic Approach. Int. J. Appl. Math. Comput. Sci. 15(2), 295–304 (2005)
Dmochowska, H. (ed.): Concise statistical yearbook of Poland. Statistical Publishing Establishment (2007), http://www.stat.gov.pl
Hough, P.: Method and Means for Recognizing Complex Patterns, U.S. Patent No. 3,069,654 (1962)
Hrebień, M., Korbicz, J.: Human Identification Based on Fingerprint Local Features. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 796–803. Springer, Heidelberg (2006)
Hrebień, M., Steć, P., Nieczkowski, T., Obuchowicz, A.: Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images. Int. J. Appl. Math. Comput. Sci, Special Issue (accepted, 2007)
Hrebień, M., Korbicz, J., Obuchowicz, A.: Hough transform (1+1) Search Strategy and Watershed Algorithm in Segmentation of Cytological Images. In: Proc. 5th Int. Conf. Computer Recognition Systems, Adv. in Soft Comput., pp. 550–557. Springer, Berlin (2007)
Nair, P., Saunders, A.: Hough Transform Based Ellipse Detection Algorithm. Pattern Recognition Letters 17, 777–784 (1996)
Olson, C.: A General Method for Geometric Feature Matching and Model Extraction. Int. J. Comput. Vision 45(1), 39–54 (2001)
Ozimek, E.: Sound and its perception. Physical and psychoacoustic aspects. Polish Scientific Publishers PWN (2002) (in polish)
Prado, B.: Finding Structure in Audio for Music Information Retrieval. IEEE Signal Processing Magazine 23(3), 126–132 (2006)
Ratha, N., Karu, K., Chen, S., Jain, A.: A Real-time Matching System for Large Fingerprint Databases. IEEE Trans. Pattern Analysis and Machine Intelligence 28(8), 799–813 (1996)
Rutkowski, L.: Artificial intelligence methods and techniques. Polish Scientific Publishers PWN (2005) (in Polish)
Tadeusiewicz, R.: Speech signal. Transport and Communication Publishers, Warsaw (1988) (in Polish)
Toth, L., Kocsor, A., Csirik, J.: On Naive Bayes in Speech Recognition. Int. J. Appl. Math. Comput. Sci 15(2), 287–294 (2005)
Zadeh, L.: From Computing with Numbers to Computing with Words – From Manipulation of Measurements to Manipulation of Perceptions. Int. J. Appl. Math. Comput. Sci. 12(3), 307–324 (2002)
Zieliński, T.: Digital signal processing. From theory to practise. Transport and Communication Publishers, Warsaw (2005) (in Polish)
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Hrebień, M., Korbicz, J. (2008). Hough Transform in Music Tunes Recognition Systems. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_57
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DOI: https://doi.org/10.1007/978-3-540-69731-2_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69572-1
Online ISBN: 978-3-540-69731-2
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