Classification of pathological voice signals using self-similarity based wavelet packet feature extraction and Davies-bouldin criterion

Hossein Khadivi Heris, Babak Seyed Aghazadeh, Mansour Nikkhah Bahrami. Classification of pathological voice signals using self-similarity based wavelet packet feature extraction and Davies-bouldin criterion. In Claudia Manfredi, editor, Fifth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2007, Florence, Italy, December 13-15, 2007. pages 85-88, Firenze University Press / ISCA, 2007. [doi]

@inproceedings{HerisAB07,
  title = {Classification of pathological voice signals using self-similarity based wavelet packet feature extraction and Davies-bouldin criterion},
  author = {Hossein Khadivi Heris and Babak Seyed Aghazadeh and Mansour Nikkhah Bahrami},
  year = {2007},
  url = {http://www.isca-speech.org/archive/maveba_2007/mv07_085.html},
  researchr = {https://researchr.org/publication/HerisAB07},
  cites = {0},
  citedby = {0},
  pages = {85-88},
  booktitle = {Fifth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2007, Florence, Italy, December 13-15, 2007},
  editor = {Claudia Manfredi},
  publisher = {Firenze University Press / ISCA},
  isbn = {978-88-8453-674-7},
}