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Expert Systems with Applications, ISSN 0957-4174, 10/2016, Volume 60, pp. 190 - 210
Music is present in everyday life and used for a wide range of objectives. Musical databases have considerably increased in number and size over the past... 
Musical genres | Music descriptors | Symbolic music data | Classification algorithms | Music information retrieval
Journal Article
Journal Article
PLoS ONE, ISSN 1932-6203, 02/2018, Volume 13, Issue 2, p. e0191417
Journal Article
Signal Processing, ISSN 0165-1684, 2011, Volume 91, Issue 8, pp. 2154 - 2157
This paper presents a study on the performance of the higher-order moments for musical genre classification. Especially the skewness and the kurtosis of the... 
Kurtosis | Musical genre classification | Moment | Spectral contrast | Skewness | SIGNALS | ENGINEERING, ELECTRICAL & ELECTRONIC | Signal processing | Music | Classification
Journal Article
Journal of Applied Sciences, ISSN 1812-5654, 2015, Volume 15, Issue 2, pp. 289 - 294
Journal Article
Applied Mathematics and Information Sciences, ISSN 1935-0090, 11/2017, Volume 11, Issue 6, pp. 1703 - 1713
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2015, Volume 9384, pp. 420 - 430
Conference Proceeding
IEICE Transactions on Information and Systems, ISSN 0916-8532, 2011, Volume E94-D, Issue 6, pp. 1362 - 1365
This letter presents a new automatic musical genre classification method based on an informative song-level representation, in which the mutual information... 
musical genre classification | feature selection | mutual information | Feature selection | Mutual information | Musical genre classification | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, INFORMATION SYSTEMS
Journal Article
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), ISSN 1062-922X, 10/2012, pp. 2700 - 2705
This paper presents a dynamic ensemble selection method for music genre classification which employs two pools of diverse classifiers. The pools of classifiers... 
Accuracy | Databases | Music | ensemble selection | Feature extraction | Educational institutions | musical genre classification | Multiple signal classification | Informatics
Conference Proceeding
IEEE Transactions on Speech and Audio Processing, ISSN 1063-6676, 07/2002, Volume 10, Issue 5, pp. 293 - 302
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2013, Volume 8346, Issue 1, pp. 564 - 575
Conference Proceeding
IEEE Signal Processing Letters, ISSN 1070-9908, 08/2007, Volume 14, Issue 8, pp. 521 - 524
Musical genre classification is an essential tool for music information retrieval systems and it has potential to become a highly demanded application in... 
Inter-genre similarity (IGS) modeling | Mel-frequency cepstral coefficients (MFCC) | Musical genre classification | musical genre classification | inter-genre similarity (IGS) modeling | ENGINEERING, ELECTRICAL & ELECTRONIC | Classifiers | Similarity | Dynamics | Classification | Surface layer | Tools | Dynamical systems | Texture
Journal Article
Archives of Acoustics, ISSN 0137-5075, 03/2015, Volume 39, Issue 4, pp. 629 - 638
Journal Article
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2018, Volume 2018-, pp. 2661 - 2665
We present a feature engineering pipeline for the construction of musical signal characteristics, to be used for the design of a supervised model for musical... 
Training | information gain | autoencoder | feature extraction and selection | Pipelines | Music | Feature extraction | Musical signal | Task analysis | Mel frequency cepstral coefficient | Standards | genre classification | Genre classification | Information gain | Feature extraction and selection | Autoencoder
Conference Proceeding
IEEE Transactions on Audio, Speech, and Language Processing, ISSN 1558-7916, 05/2011, Volume 19, Issue 4, pp. 1003 - 1014
Journal Article
Journal of New Music Research, ISSN 0929-8215, 05/2018, Volume 47, Issue 3, pp. 191 - 205
Journal Article
Sādhanā, ISSN 0256-2499, 2/2019, Volume 44, Issue 2, pp. 1 - 9
This paper reports a new approach for clustering melodies in audio music collections of both western as well as Indian background and its application to genre... 
Engineering | support vector machine | mean centre clustering | musical genre classification | Engineering, general | Artificial neural network | pattern clustering method | ENGINEERING, MULTIDISCIPLINARY | CLASSIFIERS | Usage | Algorithms | Neural networks | Analysis
Journal Article
International Journal of Modern Physics C, ISSN 0129-1831, 11/2009, Volume 20, Issue 11, pp. 1697 - 1718
Accurately quantifying the goodness of music based on the seemingly subjective taste of the public is a multi-million industry. Recording companies can make... 
LDA | Hit song prediction | Musical genre classification | Neural networks | CART | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SIGNALS | CLASSIFICATION | musical genre classification | CULTURAL MARKET | PHYSICS, MATHEMATICAL | hit song prediction | AUDIO
Journal Article
2014 2nd International Conference on Information and Communication Technology (ICoICT), 05/2014, pp. 397 - 402
The rapid growth in audio processing has given much help in advancing the development of digital music. It encourages the creation of method for the genre... 
Training | Accuracy | Clouds | musical genre | Hidden Markov models | Classification | Rocks | Feature extraction | Testing | Hidden Markov Models | Learning | Algorithms | Butterworth filters | Digital | Mathematical models
Conference Proceeding
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