ISCA Archive MAVEBA 2005
ISCA Archive MAVEBA 2005

Complexity analysis of normal and deaf infant cry acoustic waves

Kathiresan Manickam, Haizhou Li

This work describes the complexity found in the normal and the deaf crying acoustic waves. Using approximate entropy, in a single figure, the complexity of the auto-covariance of the signal is computed. Thus, using this complexity value, we are able to discriminate the normal and the deaf infants crying domains with (P<<0.01).

Index Terms. Infant Cry, Complexity, deaf infant


Cite as: Manickam, K., Li, H. (2005) Complexity analysis of normal and deaf infant cry acoustic waves. Proc. Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2005), 105-108

@inproceedings{manickam05_maveba,
  author={Kathiresan Manickam and Haizhou Li},
  title={{Complexity analysis of normal and deaf infant cry acoustic waves}},
  year=2005,
  booktitle={Proc. Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2005)},
  pages={105--108}
}