A sequential metric-based audio segmentation method via the Bayesian information criterion.

@inproceedings{Cheng2003ASM,
  title={A sequential metric-based audio segmentation method via the Bayesian information criterion.},
  author={Shih-Sian Cheng and Hsin-Min Wang},
  booktitle={INTERSPEECH},
  year={2003}
}
In this paper, we propose a sequential metric-based audio segmentation method that has the advantage of low computation cost of metric-based methods and the advantage of high accuracy of model-selection-based methods. There are two major differences between our method and the conventional metricbased methods:(1) Each changing point has multiple chances to be detected by different pairs of windows, rather than only once by its neighboring acoustic information.(2) By introducing the Bayesian… CONTINUE READING
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