@inbook {IOPORT.05486803,
    author       = {Ringeval, Fabien and Chetouani, Mohamed},
    title        = {Exploiting a vowel based approach for acted emotion recognition.},
    year         = {2008},
    booktitle    = {Verbal and nonverbal features of human-human and human-machine interaction. COST Action 2102 international conference, Patras, Greece, October 29--31, 2007. Revised papers},
    isbn         = {978-3-540-70871-1},
    pages        = {243-254},
    publisher    = {Berlin: Springer},
    doi          = {10.1007/978-3-540-70872-8_19},
    abstract     = {Summary: This paper is dedicated to the description and the study of a new feature extraction approach for emotion recognition. Our contribution is based on 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. The segmentation algorithm is evaluated on both emotional (Berlin) and non-emotional (TIMIT, NTIMIT) databases. Concerning the emotion recognition task, we propose to extract MFCC acoustic features from these pseudo-phonetic segments (vowels, consonants) and we compare this approach with traditional voice and unvoiced segments. The classification is achieved by the well-known k-nn classifier (k nearest neighbors) on the Berlin corpus.},
    identifier   = {05486803},
}