Bogdan Vlasenko
According to our database1,
Bogdan Vlasenko
authored at least 37 papers
between 2007 and 2023.
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Bibliography
2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track.
CoRR, 2022
Comparing Biosignal and Acoustic feature Representation for Continuous Emotion Recognition.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022
Modeling of Pre-Trained Neural Network Embeddings Learned From Raw Waveform for COVID-19 Infection Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Fusion of Acoustic and Linguistic Information using Supervised Autoencoder for Improved Emotion Recognition.
Proceedings of the MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 2021
2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Proceedings of the Interspeech 2018, 2018
2017
Proceedings of the Companion Technology - A Paradigm Shift in Human-Technology Interaction, 2017
Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition.
Proceedings of the Interspeech 2017, 2017
Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features.
Proceedings of the Artificial Intelligence in Medicine, 2017
2016
Tendencies regarding the effect of emotional intensity in inter corpus phoneme-level speech emotion modelling.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
2015
Proceedings of the INTERSPEECH 2015, 2015
Overlapping speech, utterance duration and affective content in HHI and HCI - An comparison.
Proceedings of the 6th IEEE International Conference on Cognitive Infocommunications, 2015
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015
Cross-corpus acoustic emotion recognition: Variances and strategies (Extended abstract).
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015
2014
J. Multimodal User Interfaces, 2014
Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications.
Comput. Speech Lang., 2014
Location of an emotionally neutral region in valence-arousal space: Two-class vs. three-class cross corpora emotion recognition evaluations.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014
2013
Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013
Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013
2012
Proceedings of the Text, Speech and Dialogue - 15th International Conference, 2012
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012
2011
Vowels Formants Analysis Allows Straightforward Detection of High Arousal Acted and Spontaneous Emotions.
Proceedings of the INTERSPEECH 2011, 2011
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011
Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011
2010
IEEE Trans. Affect. Comput., 2010
Determining optimal features for emotion recognition from speech by applying an evolutionary algorithm.
Proceedings of the INTERSPEECH 2010, 2010
2009
Proceedings of the INTERSPEECH 2009, 2009
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009
2008
Proceedings of the Perception in Multimodal Dialogue Systems, 2008
Balancing spoken content adaptation and unit length in the recognition of emotion and interest.
Proceedings of the INTERSPEECH 2008, 2008
Combining speech recognition and acoustic word emotion models for robust text-independent emotion recognition.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
2007
Combining frame and turn-level information for robust recognition of emotions within speech.
Proceedings of the INTERSPEECH 2007, 2007
Comparing one and two-stage acoustic modeling in the recognition of emotion in speech.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007
Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing.
Proceedings of the Affective Computing and Intelligent Interaction, 2007