ISCA Archive Interspeech 2013
ISCA Archive Interspeech 2013

Characteristic contours of syllabic-level units in laughter

Jieun Oh, Eunjoon Cho, Malcolm Slaney

Trying to automatically detect laughter and other nonlinguistic events in speech raises a fundamental question: Is it appropriate to simply adopt acoustic features that have traditionally been used for analyzing linguistic events? Thus we take a step back and propose syllabic-level features that may show a contrast between laughter and speech in their intensity-, pitch-, and timbral-contours and rhythmic patterns. We motivate and define our features and evaluate their effectiveness in correctly classifying laughter from speech. Inclusion of our features in the baseline feature set for the Social Signals Sub-Challenge of the Computational Paralinguistics Challenge yielded an improvement of 2.4% in Unweighted Average Area Under the Curve (UAAUC). But beyond objective metrics, analyzing laughter at a phonetically meaningful level has allowed us to examine the characteristic contours of laughter and to recognize the importance of the shape of its intensity envelope.


doi: 10.21437/Interspeech.2013-58

Cite as: Oh, J., Cho, E., Slaney, M. (2013) Characteristic contours of syllabic-level units in laughter. Proc. Interspeech 2013, 158-162, doi: 10.21437/Interspeech.2013-58

@inproceedings{oh13_interspeech,
  author={Jieun Oh and Eunjoon Cho and Malcolm Slaney},
  title={{Characteristic contours of syllabic-level units in laughter}},
  year=2013,
  booktitle={Proc. Interspeech 2013},
  pages={158--162},
  doi={10.21437/Interspeech.2013-58}
}