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» Emotion recognition using imperfect speech recognition
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ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Segment-based approach to the recognition of emotions in speech
A new framework for the context and speaker independent recognition of emotions from voice, based on a richer and more natural representation of the speech signal, is proposed. Th...
Mohammad T. Shami, Mohamed S. Kamel
WCE
2007
13 years 11 months ago
E-learning System Based on Neural Networks
—Although the current E-Learning systems have many merits, many of them only treat advanced information technology as simple communication tools, and release some learning conten...
Linfeng Zhang, Fei Yu, Yue Shen, Guiping Liao, Ken...
ICPR
2008
IEEE
14 years 4 months ago
A Hybrid PNN-GMM classification scheme for speech emotion recognition
With the increasing demand for spoken language interfaces in human-computer interactions, automatic recognition of emotional states from human speeches has become of increasing im...
Wee Ser, Ling Cen, Zhu Liang Yu
ICMCS
2006
IEEE
140views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Evolutionary Feature Generation in Speech Emotion Recognition
Feature sets are broadly discussed within speech emotion recognition by acoustic analysis. While popular filter and wrapper based search help to retrieve relevant ones, we feel th...
Björn Schuller, Stephan Reiter, Gerhard Rigol...
ICPR
2008
IEEE
14 years 11 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