Sciweavers

COST
2007
Springer

Exploiting a Vowel Based Approach for Acted Emotion Recognition

14 years 5 months ago
Exploiting a Vowel Based Approach for Acted Emotion Recognition
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.
Fabien Ringeval, Mohamed Chetouani
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where COST
Authors Fabien Ringeval, Mohamed Chetouani
Comments (0)