ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

On the relevance of high-level features for speaker independent emotion recognition of spontaneous speech

Marko Lugger, Bin Yang

In this paper we study the relevance of so called high-level speech features for the application of speaker independent emotion recognition. After we give a brief definition of high-level features, we discuss for which standard feature groups high-level features are conceivable. Two groups of high-level features are proposed within this paper: a feature set for the parametrization of phonation called voice quality parameters and a second feature set deduced from music theory called harmony features. Harmony features give information about the frequency interval and chord content of the pitch data of a spoken utterance. Finally, we study the gain in classification rate by combining the proposed high-level features with the standard low-level features. We show that both high-level feature sets improve the speaker independent classification performance for spontaneous emotional speech.


doi: 10.21437/Interspeech.2009-483

Cite as: Lugger, M., Yang, B. (2009) On the relevance of high-level features for speaker independent emotion recognition of spontaneous speech. Proc. Interspeech 2009, 1995-1998, doi: 10.21437/Interspeech.2009-483

@inproceedings{lugger09_interspeech,
  author={Marko Lugger and Bin Yang},
  title={{On the relevance of high-level features for speaker independent emotion recognition of spontaneous speech}},
  year=2009,
  booktitle={Proc. Interspeech 2009},
  pages={1995--1998},
  doi={10.21437/Interspeech.2009-483}
}