Recognition of Western style musical genres using machine learning techniques

Expert Systems with Applications

Volumn 36, Issue 8, 2009, Pages 11378-11389

  Mostafa, Mohamed M ^a   Billor, Nedret ^b  

^a AUBURN UNIVERSITY   (United States)

^b College of Sciences and Mathematics ^*  (United States)

Author keywords

Cluster analysis; Music segmentation; Musical genres; Neural networks; Self organizing maps; Support vector machines

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; AVERAGE FREQUENCY; COMPLEX PATTERN; LINEAR DISCRIMINANT ANALYSIS; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; MAXIMUM FREQUENCY; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; MULTIDIMENSIONAL DATA; MUSIC GENRE; MUSIC SEGMENTATION; MUSICAL GENRE; MUSICAL GENRES; PERIODOGRAM; PROBABILISTIC NEURAL NETWORKS; STATISTICAL TECHNIQUES;

CLUSTER ANALYSIS; COMPUTER MUSIC; CONFORMAL MAPPING; DISCRIMINANT ANALYSIS; IMAGE RETRIEVAL; NETWORK LAYERS; ROBOT LEARNING; SELF ORGANIZING MAPS; SUPPORT VECTOR MACHINES;

LEARNING ALGORITHMS;

EID: 67349245920     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.03.050     Document Type: Article

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