ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Analysis of laugh signals for detecting in continuous speech

K. Sudheer Kumar, M. Sri Harish Reddy, K. Sri Rama Murty, B. Yegnanarayana

Laughter is a nonverbal vocalization that occurs often in speech communication. Since laughter is produced by the speech production mechanism, spectral analysis methods are used mostly for the study of laughter acoustics. In this paper the significance of excitation features for discriminating laughter and speech is discussed. New features describing the excitation characteristics are used to analyze the laugh signals. The features are based on instantaneous pitch and strength of excitation at epochs. An algorithm is developed based on these features to detect laughter regions in continuous speech. The results are illustrated by detecting laughter regions in a TV broadcast program.


doi: 10.21437/Interspeech.2009-473

Cite as: Sudheer Kumar, K., Sri Harish Reddy, M., Sri Rama Murty, K., Yegnanarayana, B. (2009) Analysis of laugh signals for detecting in continuous speech. Proc. Interspeech 2009, 1591-1594, doi: 10.21437/Interspeech.2009-473

@inproceedings{sudheerkumar09_interspeech,
  author={K. {Sudheer Kumar} and M. {Sri Harish Reddy} and K. {Sri Rama Murty} and B. Yegnanarayana},
  title={{Analysis of laugh signals for detecting in continuous speech}},
  year=2009,
  booktitle={Proc. Interspeech 2009},
  pages={1591--1594},
  doi={10.21437/Interspeech.2009-473}
}