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Perceptual audio features for emotion detection
Mehmet Cenk Sezgin
,
Bilge Gunsel
*
, Gunes Karabulut Kurt
*
Corresponding author for this work
Department of Electronics and Communication Engineering
Istanbul Technical University
Research output
:
Contribution to journal
›
Article
›
peer-review
69
Citations (Scopus)
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Keyphrases
Emotion Detection
100%
Perceptual Audio Features
100%
Emotional Differences
100%
Emotion Recognition
66%
Majority Voting
66%
Recognition Rate
33%
Audio
33%
Perceptual Audio Quality Assessment
33%
Emo-DB
33%
Munich
33%
Valence
33%
Automatic Emotion Recognition
33%
Critical Band
33%
Acoustic Features
33%
Ratio Measures
33%
Partial Loudness
33%
Perceptual Quality Metric
33%
Temporal Envelope
33%
Reference Concept
33%
Voting Decision
33%
Outer Ear Model
33%
Affect Recognition
33%
Generalized Discriminant Analysis
33%
Hidden Markov Model Toolkit
33%
Perceptual Bandwidth
33%
Art System
33%
Perceptual Loudness
33%
Middle Ear Model
33%
Perceptual Mask
33%
Computer Science
Emotion Detection
100%
Majority Voting
100%
Recognition Rate
50%
Open Source
50%
Perceptual Quality
50%
Generalized Discriminant Analysis
50%
Acoustic Feature
50%