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Towards Real-time Speech Emotion Recognition for Affective E-Learning
Kiavash Bahreini
, Rob Nadolski
, Wim Westera
Research output
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Contribution to journal
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Article
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Academic
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peer-review
156
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Keyphrases
Electronic Learning
100%
Microphone
100%
Speech Emotion Recognition
100%
Learning Improvement
75%
Emotional State
75%
Emotion Classification
75%
Webcam
75%
Voice Emotion Recognition
75%
Software Artifacts
75%
Vocal Intonation
50%
Overall Accuracy
50%
Adaptive Learning
25%
Learning Settings
25%
Computer Use
25%
Facial Expression
25%
Learning Approaches
25%
Learner Behavior
25%
Computer Task
25%
Vocal Expression
25%
Feedback-based
25%
Expert Finding
25%
Real-time Emotion Recognition
25%
Online Feedback
25%
Vocal Emotion Recognition
25%
Real-time Capturing
25%
Facial Emotion Recognition
25%
Computer Science
Emotional State
100%
Speech Emotion Recognition
100%
Electronic Learning
100%
Facial Expression
33%
Learning Approach
33%
Vocal Expression
33%
Recognition Result
33%
Facial Emotion Recognition
33%
Psychology
Webcam
100%
Facial Expression
33%