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» Emotion Detection from Speech to Enrich Multimedia Content
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MM
2003
ACM
161views Multimedia» more  MM 2003»
13 years 10 months ago
Affective content detection using HMMs
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we per...
Hang-Bong Kang
ICPR
2008
IEEE
14 years 6 months ago
Multiple classifier applied on predicting microsleep from speech
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
Jarek Krajewski, Anton Batliner, Rainer Wieland
COST
2008
Springer
186views Multimedia» more  COST 2008»
13 years 7 months ago
Automatic Motherese Detection for Face-to-Face Interaction Analysis
This paper deals with emotional speech detection in home movies. In this study, we focus on infant-directed speech also called "motherese" which is characterized by highe...
Ammar Mahdhaoui, Mohamed Chetouani, Cong Zong, Raq...
IRCDL
2008
13 years 6 months ago
Using MPEG-7 for Automatic Annotation of Audiovisual Content in eLearning Digital Libraries
In this paper we present a prototype system to enrich audiovisual contents with annotations, which exploits existing technologies for automatic extraction of metadata (such as OCR...
Giuseppe Amato, Paolo Bolettieri, Franca Debole, F...
ITS
2010
Springer
176views Multimedia» more  ITS 2010»
13 years 7 months ago
A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning
We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners’...
Sidney K. D'Mello, Blair Lehman, Jeremiah Sullins,...