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» Automatic Musical Genre Classification of Audio Signals
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ICPR
2010
IEEE
13 years 9 months ago
Selection of Training Instances for Music Genre Classification
In this paper we present a method for the selection of training instances based on the classification accuracy of a SVM classifier. The instances consist of feature vectors repres...
Miguel Lopes, Fabien Gouyon, Alessandro Koerich, L...
ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Musical Signal Type Discrimination based on Large Open Feature Sets
Automatic discrimination of musical signal types as speech, singing, music, genres or drumbeats within audio streams is of great importance e.g. for radio broadcast stream segment...
Björn Schuller, Frank Wallhoff, Dejan Arsic, ...
ICASSP
2009
IEEE
14 years 1 days ago
Cultural style based music classification of audio signals
Music classification based on cultural style is useful for music analysis and has potential applications in retrieval and recommendation systems. In this paper, we present the fir...
Yuxiang Liu, Qiaoliang Xiang, Ye Wang, Lianhong Ca...
IJCNN
2007
IEEE
13 years 11 months ago
A Neural Network based Audio Content Classification
— The emergence of digital music in the Internet calls for a reliable real-time tool to analyze and properly categorize them for the users. To incorporate content or genre querie...
Vikramjit Mitra, Chia-Jiu Wang
ICMCS
2008
IEEE
122views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Music genre classification using novel features and a weighted voting method
This paper proposes a novel music genre classification system based on two novel features and a weighted voting method. The proposed features, modulation spectral flatness measu...
Dalwon Jang, Minho Jin, Chang D. Yoo