A number of recent studies have attempted classification of emotional speech using various methods. In this paper we compare the performance of two algorithms: a classification algorithm based on euclidean distances, and a classification algorithm based on the use of neural networks. Both perform the classification using an identical feature set, on a database of emotional speech which has been validated through subjective listening tests.
Cite as: Amir, N., Kerret, O., Karlinski, D. (2001) Classifying emotions in speech: a comparison of methods. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 127-130, doi: 10.21437/Eurospeech.2001-44
@inproceedings{amir01_eurospeech,
author={Noam Amir and Ori Kerret and Dimitry Karlinski},
title={{Classifying emotions in speech: a comparison of methods}},
year=2001,
booktitle={Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001)},
pages={127--130},
doi={10.21437/Eurospeech.2001-44}
}