Fuzzy Rule Based System Ensemble for Music Genre Classification
Automatic music retrieval processes rely on classification and tagging systems. Among the tags usually employed for classifying music, genre is a prominent one. This paper presents an ensemble of classifiers that uses a hybrid genetic fuzzy approach. By using a set of Fuzzy Rule Based Systems automatically tuned by means of a Genetic Algorithm, and structured in two layers, the system is capable of correctly classifying classical and jazz samples randomly chosen from a wide set of authors and styles.
The ensemble is built on top of a previously developed method that profits from non-precise information by using Fuzzy Systems. The inherently ambiguous information frequently related to music genre is properly managed by a Fuzzy Rule Based System that focuses on random samples extracted from the audio to be analyzed. A set of these Fuzzy Rule Based Systems are then applied simultaneously to a number of samples, and the final system is in charge of processing the partial information obtained by each of the Fuzzy Rule Based System.
The experimental setup and results take into account harmonic principles and their relationship with the specific genre considered. The system is capable of providing good classification accuracy by using an extremely narrow set of features.
KeywordsFuzzy Rule Test Step Classical Music Training Step Music Genre
Unable to display preview. Download preview PDF.
- 7.Daniel, F.P., Cazaly, D.: A taxonomy of musical genres. In: Proc. Content-Based Multimedia Information Access, RIAO (2000)Google Scholar
- 8.Dannenberg, R., Foote, J., Tzanetakis, G., Weare, C.: Panel: new directions in music information retrieval. In: Proc. Int. Computer Music Conference (2001)Google Scholar
- 9.Fernández, F., Chávez, F.: On the application of Fuzzy Rule-Based Systems to Musical Genre Classification. In: 1st Workshop in Evolutionary Music. IEEE CEC, New Orleans, EE.UU, pp. 25–31 (2011)Google Scholar
- 10.Fernández, F., Chávez, F., Alcalá, R., Herrera, F.: Musical Genre Classification by means of Fuzzy Rule-Based Systems: A preliminary approach. In: IEEE Congress on Evolutionary Computation, IEEE CEC, New Orleans, EE.UU, pp. 2571–2577 (2011)Google Scholar
- 13.Laroche, J.: Estimating tempo, swing and beat locations in audio recordings. In: 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics, pp. 135–138 (2001)Google Scholar
- 14.Li, G., Khokhar, A.A.: Content-based indexing and retrieval of audio data using wavelets. In: IEEE International Conference on Multimedia and Expo (II), pp. 885–888 (2000)Google Scholar
- 15.Li, T., Ogihara, M.: Music Genre Classification with taxonomy. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005), pp. 197–200 (2005)Google Scholar
- 17.Silla, C.N., Koerich, A.L., Kaestner, C.A.A.: Feature selection in automatic music genre classification. In: International Symposium on Multimedia, pp. 39–44 (2008)Google Scholar
- 21.Wold, E., Blum, T., Keislar, D., Wheaten, J.: Content-based classification, search, and retrieval of audio. IEEE MultimediaGoogle Scholar