Audio signal segmentation and classification using fuzzy c-means clustering

@article{Nitanda2006AudioSS,
  title={Audio signal segmentation and classification using fuzzy c-means clustering},
  author={Naoki Nitanda and Miki Haseyama and Hideo Kitajima},
  journal={Systems and Computers in Japan},
  year={2006},
  volume={37},
  pages={23-34}
}
This paper proposes an audio signal segmentation and classification method using fuzzy c-means clustering. Recently, high performance of the audio signal segmentation and classification is required for audio-visual indexing because of the popular use of the Internet, higher bandwidth access to the network, widespread of digital recording and storage; and several methods have been proposed. They segment the audio signal at boundaries between two different audio signals, which are called audio… CONTINUE READING

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