A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Vocal Emotion Recognition with Log-Gabor Filters
2015
Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge - AVEC '15
Vocal emotion recognition aims to identify the emotional states of speakers by analyzing their speech signal. This paper builds on the work of Ezzat, Bouvrie and Poggio [5] by performing a spectro-temporal analysis of affective vocalizations by decomposing the associated spectrogram with 2D Gabor filters. Based on the previous studies of the emotion expression in voices and the turn out display in spectrogram, we assumed that each vocal emotion has a unique spectro-temporal signature in terms
doi:10.1145/2808196.2811635
dblp:conf/mm/GuPL15
fatcat:rb6y3aejdzf4tmg7g3mdn2fgvq