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Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines
(Springer International Publishing Ag, 2016)
One of the challenges in speech emotion recognition is robust and speaker-independent emotion recognition. In this paper, we take a cascaded normalization approach, combining linear speaker level, non-linear value level ...
Modeling short-term and long-term dependencies of the speech signal for paralinguistic emotion classification
(St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 2019)
Recently, Speech Emotion Recognition (SER) has become an important research topic of affective computing. It is a difficult problem, where some of the greatest challenges lie in the feature selection and representation ...
BOUN-NKU in mediaeval 2017 emotional impact of movies task
(CEUR-WS, 2017)
In this paper, we present our approach for the Emotional Impact of Movies task of Mediaeval 2017 Challenge, involving multimodal fusion for predicting arousal and valence for movie clips. In our system, we have two pipelines. ...
Predicting depression and emotions in the cross-roads of cultures, para-linguistics, and non-linguistics
(Association for Computing Machinery, Inc, 2019)
Cross-language, cross-cultural emotion recognition and accurate prediction of affective disorders are two of the major challenges in affective computing today. In this work, we compare several systems for Detecting Depression ...