The lack of publicly available annotated databases is one of the major barriers to research advances on emotional information processing. In this contribution we present a recentl...
Michael Grimm, Kristian Kroschel, Shrikanth Naraya...
We present a data-mining experiment on feature selection for automatic emotion recognition. Starting from more than 1000 features derived from pitch, energy and MFCC time series, ...
Change in a speaker's emotion is a fundamental component in human communication. Automatic recognition of spontaneous emotion would significantly impact human-computer interac...
Zhihong Zeng, Yun Fu, Glenn I. Roisman, Zhen Wen, ...
The paper deals with the recording and the evaluation of a multi modal (audio/video) database of spontaneous emotions. Firstly, motivation for this work is given and different rec...
Rok Gajsek, Vitomir Struc, Bostjan Vesnicer, Anja ...
This paper investigates the automatic recognition of emotion from spoken words by vector space modeling vs. string kernels which have not been investigated in this respect, yet. A...