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...
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. ...
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...
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...
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 ...