We present a contribution to the Open Performance subchallenge of the INTERSPEECH 2009 Emotion Challenge. We evaluate the feature extraction and classifier of EmoVoice, our framework for real-time emotion recognition from voice on the challenge database and achieve competitive results. Furthermore, we explore the benefits of discretizing numeric acoustic features and find it beneficial in a multi-class task.
Cite as: Vogt, T., André, E. (2009) Exploring the benefits of discretization of acoustic features for speech emotion recognition. Proc. Interspeech 2009, 328-331, doi: 10.21437/Interspeech.2009-107
@inproceedings{vogt09_interspeech,
author={Thurid Vogt and Elisabeth André},
title={{Exploring the benefits of discretization of acoustic features for speech emotion recognition}},
year=2009,
booktitle={Proc. Interspeech 2009},
pages={328--331},
doi={10.21437/Interspeech.2009-107}
}