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BOGDAN VLASENKO
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Name
Affiliation
Papers
BOGDAN VLASENKO
Otto-von-Guericker Universität (OVGU), Magdeburg
19
Collaborators
Citations
PageRank
24
235
12.72
Referers
Referees
References
422
365
287
Search Limit
100
422
Publications (19 rows)
Collaborators (24 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Fusion of Acoustic and Linguistic Information using Supervised Autoencoder for Improved Emotion Recognition
0
0.34
2021
Implementing Gender-Dependent Vowel-Level Analysis For Boosting Speech-Based Depression Recognition
1
0.34
2017
Annotators' Agreement And Spontaneous Emotion Classification Performance
3
0.38
2015
Location of an emotionally neutral region in valence-arousal space: Two-class vs. three-class cross corpora emotion recognition evaluations
1
0.36
2014
Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications
18
0.61
2014
Analysis of significant dialog events in realistic human–computer interaction
3
0.38
2014
Determining the Smallest Emotional Unit for Level of Arousal Classification
4
0.38
2013
Parameter Optimization Issues for Cross-corpora Emotion Classification
2
0.37
2013
Language Modeling of Nonverbal Vocalizations in Spontaneous Speech.
1
0.48
2012
The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech
8
0.57
2012
Vowels formants analysis allows straightforward detection of high arousal emotions
13
0.65
2011
Vowels Formants Analysis Allows Straightforward Detection Of High Arousal Acted And Spontaneous Emotions
16
0.66
2011
Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies
62
1.83
2010
Heading toward to the natural way of human-machine interaction: the nimitek project
7
0.54
2009
Processing Affected Speech Within Human Machine Interaction
12
0.60
2009
Balancing Spoken Content Adaptation And Unit Length In The Recognition Of Emotion And Interest
14
0.74
2008
Combining Speech Recognition And Acoustic Word Emotion Models For Robust Text-Independent Emotion Recognition
16
0.79
2008
On the Influence of Phonetic Content Variation for Acoustic Emotion Recognition
3
0.53
2008
Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing
51
2.19
2007
1
