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.
Bibliographic reference. Vogt, Thurid / André, Elisabeth (2009): "Exploring the benefits of discretization of acoustic features for speech emotion recognition", In INTERSPEECH-2009, 328-331.