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ICPR
2010
IEEE
13 years 12 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...
ICASSP
2011
IEEE
12 years 11 months ago
Automatic Language Identification in music videos with low level audio and visual features
Automatic Language Identification (LID) in music has received significantly less attention than LID in speech. Here, we study the problem of LID in music videos uploaded on YouT...
Vijay Chandrasekhar, Mehmet Emre Sargin, David A. ...
ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
14 years 1 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, ...
ICPR
2008
IEEE
14 years 2 months ago
Adaptive context recognition based on audio signal
Auditory data provide many contextual cues about the crucial content of environments around. The goal of audio based context recognition is to equip the sensing devices with class...
Zhi Zeng, Xin Li, Xiaohong Ma, Qiang Ji
ISMIR
2004
Springer
110views Music» more  ISMIR 2004»
14 years 29 days ago
Automatic Detection Of Vocal Segments In Popular Songs
This paper presents a technique for the automatic classification of vocal and non-vocal regions in an acoustic musical signal. The proposed technique uses acoustic features which ...
Tin Lay Nwe, Ye Wang