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Bogdan Vlasenko

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

24

Venues

5

Active years

2007–2025

Best venue rank

A

Where they publish

Papers

24 indexed papers, newest first.

YearVenueTitleAuthors
2025ICASSPExploring the Complexity of Parkinson's Patient Speech for Depression Detection task: A Qualitative Analysis.Barbara Ruvolo, Tilak Purohit, Bogdan Vlasenko, Juan Rafael Orozco-Arroyave, Mathew Magimai-Doss
2025InterspeechMultimodal Prosody Modeling: A Use Case for Multilingual Sentence Mode Prediction.Bogdan Vlasenko, Mathew Magimai-Doss
2024ICASSPComparing data-Driven and Handcrafted Features for Dimensional Emotion Recognition.Bogdan Vlasenko, Sargam Vyas, Mathew Magimai-Doss
2024InterspeechCross-transfer Knowledge between Speech and Text Encoders to Evaluate Customer Satisfaction.Luis Felipe Parra-Gallego, Tilak Purohit, Bogdan Vlasenko, Juan Rafael Orozco-Arroyave, Mathew Magimai-Doss
2023ICASSPTowards Learning Emotion Information from Short Segments of Speech.Tilak Purohit, Sarthak Yadav, Bogdan Vlasenko, S. Pavankumar Dubagunta, Mathew Magimai-Doss
2023InterspeechImplicit phonetic information modeling for speech emotion recognition.Tilak Purohit, Bogdan Vlasenko, Mathew Magimai-Doss
2022ICASSPModeling of Pre-Trained Neural Network Embeddings Learned From Raw Waveform for COVID-19 Infection Detection.Zohreh Mostaani, RaviShankar Prasad, Bogdan Vlasenko, Mathew Magimai-Doss
2019ICASSPLearning Voice Source Related Information for Depression Detection.S. Pavankumar Dubagunta, Bogdan Vlasenko, Mathew Magimai-Doss
2018InterspeechImplementing Fusion Techniques for the Classification of Paralinguistic Information.Bogdan Vlasenko, Jilt Sebastian, Pavan Kumar D. S., Mathew Magimai-Doss
2017AIMEEnhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features.Nicholas Cummins, Bogdan Vlasenko, Hesam Sagha, Bjrn W. Schuller
2017InterspeechImplementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition.Bogdan Vlasenko, Hesam Sagha, Nicholas Cummins, Bjrn W. Schuller
2015ACIICross-corpus acoustic emotion recognition: Variances and strategies (Extended abstract).Bjrn W. Schuller, Bogdan Vlasenko, Florian Eyben, Martin Wllmer, Andr Stuhlsatz, Andreas Wendemuth, Gerhard Rigoll
2015ACIIExploring dataset similarities using PCA-based feature selection.Ingo Siegert, Ronald Bck, Andreas Wendemuth, Bogdan Vlasenko
2015InterspeechAnnotators' agreement and spontaneous emotion classification performance.Bogdan Vlasenko, Andreas Wendemuth
2013ACIIParameter Optimization Issues for Cross-corpora Emotion Classification.Bogdan Vlasenko, David Philippou-Hbner, Andreas Wendemuth
2013ACIIDetermining the Smallest Emotional Unit for Level of Arousal Classification.Bogdan Vlasenko, Andreas Wendemuth
2011InterspeechVowels Formants Analysis Allows Straightforward Detection of High Arousal Acted and Spontaneous Emotions.Bogdan Vlasenko, Dmytro Prylipko, David Philippou-Hbner, Andreas Wendemuth
2010InterspeechDetermining optimal features for emotion recognition from speech by applying an evolutionary algorithm.David Philippou-Hbner, Bogdan Vlasenko, Tobias Grosser, Andreas Wendemuth
2009ASRUAcoustic emotion recognition: A benchmark comparison of performances.Bjrn W. Schuller, Bogdan Vlasenko, Florian Eyben, Gerhard Rigoll, Andreas Wendemuth
2009InterspeechProcessing affected speech within human machine interaction.Bogdan Vlasenko, Andreas Wendemuth
2008InterspeechBalancing spoken content adaptation and unit length in the recognition of emotion and interest.Bogdan Vlasenko, Bjrn W. Schuller, Kinfe Tadesse Mengistu, Gerhard Rigoll, Andreas Wendemuth
2007ACIIFrame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing.Bogdan Vlasenko, Bjrn W. Schuller, Andreas Wendemuth, Gerhard Rigoll
2007ASRUComparing one and two-stage acoustic modeling in the recognition of emotion in speech.Bjrn W. Schuller, Bogdan Vlasenko, Ricardo Minguez, Gerhard Rigoll, Andreas Wendemuth
2007InterspeechCombining frame and turn-level information for robust recognition of emotions within speech.Bogdan Vlasenko, Bjrn W. Schuller, Andreas Wendemuth, Gerhard Rigoll