Bogdan Vlasenko

43 papers A 17B 6C 2Misc 4Journal 4Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Exploring the Complexity of Parkinson's Patient Speech for Depression Detection task: A Qualitative Analysis. ICASSP Workshops Barbara Ruvolo, Tilak Purohit, Bogdan Vlasenko, Juan Rafael Orozco-Arroyave, Mathew Magimai-Doss
2025	A	`conf`	Multimodal Prosody Modeling: A Use Case for Multilingual Sentence Mode Prediction. INTERSPEECH Bogdan Vlasenko, Mathew Magimai-Doss
2024	Misc	`conf`	Comparing data-Driven and Handcrafted Features for Dimensional Emotion Recognition. ICASSP Bogdan Vlasenko, Sargam Vyas, Mathew Magimai-Doss
2024	A	`conf`	Cross-transfer Knowledge between Speech and Text Encoders to Evaluate Customer Satisfaction. INTERSPEECH Luis Felipe Parra-Gallego, Tilak Purohit, Bogdan Vlasenko, Juan Rafael Orozco-Arroyave, Mathew Magimai-Doss
2023	A	`conf`	Implicit phonetic information modeling for speech emotion recognition. INTERSPEECH Tilak Purohit, Bogdan Vlasenko, Mathew Magimai-Doss
2023	Misc	`conf`	Towards Learning Emotion Information from Short Segments of Speech. ICASSP Tilak Purohit, Sarthak Yadav, Bogdan Vlasenko, S. Pavankumar Dubagunta, Mathew Magimai-Doss
2022	—	`conf`	Comparing Biosignal and Acoustic feature Representation for Continuous Emotion Recognition. MuSe @ ACM Multimedia Sarthak Yadav, Tilak Purohit, Zohreh Mostaani, Bogdan Vlasenko, Mathew Magimai-Doss
2022	J	`jnl`	Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track. CoRR Tilak Purohit, Imen Ben Mahmoud, Bogdan Vlasenko, Mathew Magimai-Doss
2022	Misc	`conf`	Modeling of Pre-Trained Neural Network Embeddings Learned From Raw Waveform for COVID-19 Infection Detection. ICASSP Zohreh Mostaani, RaviShankar Prasad, Bogdan Vlasenko, Mathew Magimai-Doss
2021	—	`conf`	Fusion of Acoustic and Linguistic Information using Supervised Autoencoder for Improved Emotion Recognition. MuSe @ ACM Multimedia Bogdan Vlasenko, RaviShankar Prasad, Mathew Magimai-Doss
2019	Misc	`conf`	Learning Voice Source Related Information for Depression Detection. ICASSP S. Pavankumar Dubagunta, Bogdan Vlasenko, Mathew Magimai-Doss
2018	A	`conf`	Implementing Fusion Techniques for the Classification of Paralinguistic Information. INTERSPEECH Bogdan Vlasenko, Jilt Sebastian, Pavan Kumar D. S., Mathew Magimai-Doss
2017	—	`ch.`	Emotion Recognition from Speech. Companion Technology Andreas Wendemuth, Bogdan Vlasenko, Ingo Siegert, Ronald Böck, Friedhelm Schwenker, Günther Palm
2017	B	`conf`	Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features. AIME Nicholas Cummins, Bogdan Vlasenko, Hesam Sagha, Björn W. Schuller
2017	A	`conf`	Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition. INTERSPEECH Bogdan Vlasenko, Hesam Sagha, Nicholas Cummins, Björn W. Schuller
2016	—	`conf`	Tendencies regarding the effect of emotional intensity in inter corpus phoneme-level speech emotion modelling. MLSP Bogdan Vlasenko, Björn W. Schuller, Andreas Wendemuth
2015	A	`conf`	Annotators' agreement and spontaneous emotion classification performance. INTERSPEECH Bogdan Vlasenko, Andreas Wendemuth
2015	B	`conf`	Cross-corpus acoustic emotion recognition: Variances and strategies (Extended abstract). ACII Björn W. Schuller, Bogdan Vlasenko, Florian Eyben, Martin Wöllmer, André Stuhlsatz, Andreas Wendemuth, Gerhard Rigoll
2015	B	`conf`	Exploring dataset similarities using PCA-based feature selection. ACII Ingo Siegert, Ronald Böck, Andreas Wendemuth, Bogdan Vlasenko
2015	—	`conf`	Overlapping speech, utterance duration and affective content in HHI and HCI - An comparison. CogInfoCom Ingo Siegert, Ronald Böck, Andreas Wendemuth, Bogdan Vlasenko, Kerstin Ohnemus
2014	J	`jnl`	Analysis of significant dialog events in realistic human-computer interaction. J. Multimodal User Interfaces Dmytro Prylipko, Dietmar F. Rösner, Ingo Siegert, Stephan Günther, Rafael Friesen, Matthias Haase, Bogdan Vlasenko, Andreas Wendemuth
2014	A	`conf`	Location of an emotionally neutral region in valence-arousal space: Two-class vs. three-class cross corpora emotion recognition evaluations. ICME Bogdan Vlasenko, Andreas Wendemuth
2014	J	`jnl`	Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications. Comput. Speech Lang. Bogdan Vlasenko, Dmytro Prylipko, Ronald Böck, Andreas Wendemuth
2013	B	`conf`	Determining the Smallest Emotional Unit for Level of Arousal Classification. ACII Bogdan Vlasenko, Andreas Wendemuth
2013	B	`conf`	Parameter Optimization Issues for Cross-corpora Emotion Classification. ACII Bogdan Vlasenko, David Philippou-Hübner, Andreas Wendemuth
2012	—	`conf`	Language Modeling of Nonverbal Vocalizations in Spontaneous Speech. TSD Dmytro Prylipko, Bogdan Vlasenko, Andreas Stolcke, Andreas Wendemuth
2012	—	`conf`	The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech. ICME Workshops David Philippou-Hübner, Bogdan Vlasenko, Ronald Böck, Andreas Wendemuth
2012	A	`conf`	The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech. ICME David Philippou-Hübner, Bogdan Vlasenko, Ronald Böck, Andreas Wendemuth
2011	A	`conf`	Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins. ICME Ingo Siegert, Ronald Böck, Bogdan Vlasenko, David Philippou-Hübner, Andreas Wendemuth
2011	—	`—`	Emotion recognition within spoken dialog systems. Bogdan Vlasenko
2011	A	`conf`	Vowels Formants Analysis Allows Straightforward Detection of High Arousal Acted and Spontaneous Emotions. INTERSPEECH Bogdan Vlasenko, Dmytro Prylipko, David Philippou-Hübner, Andreas Wendemuth
2011	A	`conf`	Vowels formants analysis allows straightforward detection of high arousal emotions. ICME Bogdan Vlasenko, David Philippou-Hübner, Dmytro Prylipko, Ronald Böck, Ingo Siegert, Andreas Wendemuth
2010	J	`jnl`	Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies. IEEE Trans. Affect. Comput. Björn W. Schuller, Bogdan Vlasenko, Florian Eyben, Martin Wöllmer, André Stuhlsatz, Andreas Wendemuth, Gerhard Rigoll
2010	A	`conf`	Determining optimal features for emotion recognition from speech by applying an evolutionary algorithm. INTERSPEECH David Philippou-Hübner, Bogdan Vlasenko, Tobias Grosser, Andreas Wendemuth
2009	C	`conf`	Acoustic emotion recognition: A benchmark comparison of performances. ASRU Björn W. Schuller, Bogdan Vlasenko, Florian Eyben, Gerhard Rigoll, Andreas Wendemuth
2009	A	`conf`	Heading toward to the natural way of human-machine interaction: the nimitek project. ICME Bogdan Vlasenko, Andreas Wendemuth
2009	A	`conf`	Processing affected speech within human machine interaction. INTERSPEECH Bogdan Vlasenko, Andreas Wendemuth
2008	A	`conf`	Balancing spoken content adaptation and unit length in the recognition of emotion and interest. INTERSPEECH Bogdan Vlasenko, Björn W. Schuller, Kinfe Tadesse Mengistu, Gerhard Rigoll, Andreas Wendemuth
2008	A	`conf`	Combining speech recognition and acoustic word emotion models for robust text-independent emotion recognition. ICME Björn W. Schuller, Bogdan Vlasenko, Dejan Arsic, Gerhard Rigoll, Andreas Wendemuth
2008	—	`conf`	On the Influence of Phonetic Content Variation for Acoustic Emotion Recognition. PIT Bogdan Vlasenko, Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll
2007	A	`conf`	Combining frame and turn-level information for robust recognition of emotions within speech. INTERSPEECH Bogdan Vlasenko, Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll
2007	C	`conf`	Comparing one and two-stage acoustic modeling in the recognition of emotion in speech. ASRU Björn W. Schuller, Bogdan Vlasenko, Ricardo Minguez, Gerhard Rigoll, Andreas Wendemuth
2007	B	`conf`	Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing. ACII Bogdan Vlasenko, Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll