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.
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Vogt et al. (2009) studied this question.