ISCA Archive Interspeech 2008
ISCA Archive Interspeech 2008

A vowel based approach for acted emotion recognition

Fabien Ringeval, Mohamed Chetouani

This paper is devoted to the description of a new approach for emotion recognition. Our contribution is based on both the extraction and the characterization of phonemic units such as vowels and consonants, which are provided by a pseudo-phonetic speech segmentation phase combined with a vowel detector. Concerning the emotion recognition task, we explore acoustic and prosodic features from these pseudo-phonetic segments (vowels and consonants), and we compare this approach with traditional voiced and unvoiced segments. The classification is realized by the well-known k-nn classifier (k nearest neighbors) from two different emotional speech databases: Berlin (German) and Aholab (Basque).

doi: 10.21437/Interspeech.2008-685

Cite as: Ringeval, F., Chetouani, M. (2008) A vowel based approach for acted emotion recognition. Proc. Interspeech 2008, 2763-2766, doi: 10.21437/Interspeech.2008-685

  author={Fabien Ringeval and Mohamed Chetouani},
  title={{A vowel based approach for acted emotion recognition}},
  booktitle={Proc. Interspeech 2008},