Audio segmentation by feature-space clustering using linear discriminant analysis and dynamic programming

@inproceedings{Goodwin2003AudioSB,
  title={Audio segmentation by feature-space clustering using linear discriminant analysis and dynamic programming},
  author={Michael M. Goodwin and Jean Laroche},
  year={2003}
}
We consider the problem of segmenting an audio signal into characteristic regions based on feature-set similarities. In the proposed method, a feature-space representation of the signal is generated; then, sequences of feature-space samples are aggregated into clusters corresponding to distinct signal regions. The clustering of feature sets is improved via linear discriminant analysis (LDA); dynamic programming (DP) is used to derive optimal cluster boundaries. The method avoids the heuristics… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 15 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-8 OF 8 REFERENCES

Demo of audio segmentation by clustering

  • M. Goodwin
  • www.atc.creative.com/users/mgoodwin/segment.html.
1 Excerpt

Similar Papers

Loading similar papers…