Content-Based Audio Classification Using Support Vector Machines and Independent Component Analysis

@article{Wang2006ContentBasedAC,
  title={Content-Based Audio Classification Using Support Vector Machines and Independent Component Analysis},
  author={Jia-Ching Wang and Jhing-Fa Wang and Cai-Bei Lin and Kun-Ting Jian and Wai-He Kuok},
  journal={18th International Conference on Pattern Recognition (ICPR'06)},
  year={2006},
  volume={4},
  pages={157-160}
}
In this paper, we present a new audio classification system. First, a frame-based multiclass support vector machine (SVM) for audio classification is proposed. The accuracy rate has significant improvements over conventional file-based SVM audio classifier. In feature selection, this study transforms the log powers of the critical-band filters based on independent component analysis (ICA). This new audio feature is combined with mel-frequency cepstral coefficients (MFCCs) and five perceptual… CONTINUE READING
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