Exploring the benefits of discretization of acoustic features for speech emotion recognition
Thurid Vogt, Elisabeth André · 2009
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.