Automatic Audio Genre Classification Based on Support Vector Machine

@article{Zhu2007AutomaticAG,
  title={Automatic Audio Genre Classification Based on Support Vector Machine},
  author={Yingying Zhu and Zhong Ming and Qiang Huang},
  journal={Third International Conference on Natural Computation (ICNC 2007)},
  year={2007},
  volume={1},
  pages={517-521}
}
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 video into homogeneous audio segments, which is used to analyze and retrieve its high-level content… CONTINUE READING

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