In this paper we discuss a method for extracting emotional state from the speech signal. We describe a methodology for obtaining emotive speech. and a method for identifying the emotion present in the signal. This method is based on analysis of the signal over sliding windows. and extracting a representative parameter set. A set of basic emotions is defined, and for each such emotion a reference point is computed. At each instant the distance of the measured parameter set from the reference points is calculated. and used to compute a fuzzy membership index for each emotion, which we term the "emotional index". Preliminary results are presented, which demonstrate the discriminative abilities of this method when applied to a number of speakers.
Cite as: Amir, N., Ron, S. (1998) Towards an automatic classification of emotions in speech. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0199, doi: 10.21437/ICSLP.1998-105
@inproceedings{amir98_icslp,
author={N. Amir and S. Ron},
title={{Towards an automatic classification of emotions in speech}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0199},
doi={10.21437/ICSLP.1998-105}
}