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Audio classification is an important tool used in audio retrieval and other audio processing application areas. In this paper, five kinds of audio data including speech, symphony, jazz, light music and concerto are studied. Audio features are extracted by audio analysis, and formed into different feature sets. The performance on applying Support Vector Machine, Fisher Kernel Classifier and Potential...
This paper proposes a SVM-based method to deal with the problem of detecting audio events(cheering and applause) by audio analysis. In our framework, a sliding window is first used to pre-segment the audio stream into short segments by moving from start to the end. Second, various kinds of audio features are extracted to represent different audio sounds in each segment. Third, SVM(super vector machine)...
Audio classification is very important in audio indexing, analysis and content-based video retrieval. In this paper, we have proposed a clip-based support vector machine (SVM) approach to classify audio signals into six classes, which are pure speech, music, silence, environmental sound, speech with music and speech with environmental sound. The classification results are then used to partition a...
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