Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing. - Bogdan Vlasenko; Björn W. Schuller; Andreas Wendemuth; Gerhard Rigoll (ACII, 2007)

Comparing one and two-stage acoustic modeling in the recognition of emotion in speech. - Björn W. Schuller; Bogdan Vlasenko; Ricardo Minguez; Gerhard Rigoll; Andreas Wendemuth (ASRU, 2007)

Combining frame and turn-level information for robust recognition of emotions within speech. - Bogdan Vlasenko; Björn W. Schuller; Andreas Wendemuth; Gerhard Rigoll (INTERSPEECH, 2007)

Combining speech recognition and acoustic word emotion models for robust text-independent emotion recognition. - Björn W. Schuller; Bogdan Vlasenko; Dejan Arsic; Gerhard Rigoll; Andreas Wendemuth (ICME, 2008)

Balancing spoken content adaptation and unit length in the recognition of emotion and interest. - Bogdan Vlasenko; Björn W. Schuller; Kinfe Tadesse Mengistu; Gerhard Rigoll; Andreas Wendemuth (INTERSPEECH, 2008)

On the Influence of Phonetic Content Variation for Acoustic Emotion Recognition. - Bogdan Vlasenko; Björn W. Schuller; Andreas Wendemuth; Gerhard Rigoll (PIT, 2008)

Acoustic emotion recognition: A benchmark comparison of performances. - Björn W. Schuller; Bogdan Vlasenko; Florian Eyben; Gerhard Rigoll; Andreas Wendemuth (ASRU, 2009)

Heading toward to the natural way of human-machine interaction: the nimitek project. - Bogdan Vlasenko; Andreas Wendemuth (ICME, 2009)

Processing affected speech within human machine interaction. - Bogdan Vlasenko; Andreas Wendemuth (INTERSPEECH, 2009)

Determining optimal features for emotion recognition from speech by applying an evolutionary algorithm. - David Philippou-Hübner; Bogdan Vlasenko; Tobias Grosser; Andreas Wendemuth (INTERSPEECH, 2010)

Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies. - Björn W. Schuller; Bogdan Vlasenko; Florian Eyben; Martin Wöllmer; André Stuhlsatz; Andreas Wendemuth; Gerhard Rigoll (IEEE Trans. Affect. Comput., 2010)

Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins. - Ingo Siegert; Ronald Böck; Bogdan Vlasenko; David Philippou-Hübner; Andreas Wendemuth (ICME, 2011)

Vowels formants analysis allows straightforward detection of high arousal emotions. - Bogdan Vlasenko; David Philippou-Hübner; Dmytro Prylipko; Ronald Böck; Ingo Siegert; Andreas Wendemuth (ICME, 2011)

Vowels Formants Analysis Allows Straightforward Detection of High Arousal Acted and Spontaneous Emotions. - Bogdan Vlasenko; Dmytro Prylipko; David Philippou-Hübner; Andreas Wendemuth (INTERSPEECH, 2011)

Emotion recognition within spoken dialog systems. - Bogdan Vlasenko (2011)

The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech. - David Philippou-Hübner; Bogdan Vlasenko; Ronald Böck; Andreas Wendemuth (ICME Workshops, 2012)

Language Modeling of Nonverbal Vocalizations in Spontaneous Speech. - Dmytro Prylipko; Bogdan Vlasenko; Andreas Stolcke; Andreas Wendemuth (TSD, 2012)

Parameter Optimization Issues for Cross-corpora Emotion Classification. - Bogdan Vlasenko; David Philippou-Hübner; Andreas Wendemuth (ACII, 2013)

Determining the Smallest Emotional Unit for Level of Arousal Classification. - Bogdan Vlasenko; Andreas Wendemuth (ACII, 2013)

Location of an emotionally neutral region in valence-arousal space: Two-class vs. three-class cross corpora emotion recognition evaluations. - Bogdan Vlasenko; Andreas Wendemuth (ICME, 2014)

Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications. - Bogdan Vlasenko; Dmytro Prylipko; Ronald Böck; Andreas Wendemuth (Comput. Speech Lang., 2014)

Analysis of significant dialog events in realistic human-computer interaction. - Dmytro Prylipko; Dietmar F. Rösner; Ingo Siegert; Stephan Günther; Rafael Friesen; Matthias Haase; Bogdan Vlasenko; Andreas Wendemuth (J. Multimodal User Interfaces, 2014)

Cross-corpus acoustic emotion recognition: Variances and strategies (Extended abstract). - Björn W. Schuller; Bogdan Vlasenko; Florian Eyben; Martin Wöllmer; André Stuhlsatz; Andreas Wendemuth; Gerhard Rigoll (ACII, 2015)

Exploring dataset similarities using PCA-based feature selection. - Ingo Siegert; Ronald Böck; Andreas Wendemuth; Bogdan Vlasenko (ACII, 2015)

Overlapping speech, utterance duration and affective content in HHI and HCI - An comparison. - Ingo Siegert; Ronald Böck; Andreas Wendemuth; Bogdan Vlasenko; Kerstin Ohnemus (CogInfoCom, 2015)

Annotators' agreement and spontaneous emotion classification performance. - Bogdan Vlasenko; Andreas Wendemuth (INTERSPEECH, 2015)

Tendencies regarding the effect of emotional intensity in inter corpus phoneme-level speech emotion modelling. - Bogdan Vlasenko; Björn W. Schuller; Andreas Wendemuth (MLSP, 2016)

Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features. - Nicholas Cummins; Bogdan Vlasenko; Hesam Sagha; Björn W. Schuller (AIME, 2017)

Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition. - Bogdan Vlasenko; Hesam Sagha; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2017)

Emotion Recognition from Speech. - Andreas Wendemuth; Bogdan Vlasenko; Ingo Siegert; Ronald Böck; Friedhelm Schwenker; Günther Palm (Companion Technology, 2017)

Implementing Fusion Techniques for the Classification of Paralinguistic Information. - Bogdan Vlasenko; Jilt Sebastian; Pavan Kumar D. S.; Mathew Magimai-Doss (INTERSPEECH, 2018)

Learning Voice Source Related Information for Depression Detection. - S. Pavankumar Dubagunta; Bogdan Vlasenko; Mathew Magimai-Doss (ICASSP, 2019)

Fusion of Acoustic and Linguistic Information using Supervised Autoencoder for Improved Emotion Recognition. - Bogdan Vlasenko; RaviShankar Prasad; Mathew Magimai-Doss (MuSe @ ACM Multimedia, 2021)

Modeling of Pre-Trained Neural Network Embeddings Learned From Raw Waveform for COVID-19 Infection Detection. - Zohreh Mostaani; RaviShankar Prasad; Bogdan Vlasenko; Mathew Magimai-Doss (ICASSP, 2022)

Comparing Biosignal and Acoustic feature Representation for Continuous Emotion Recognition. - Sarthak Yadav; Tilak Purohit; Zohreh Mostaani; Bogdan Vlasenko; Mathew Magimai-Doss (MuSe @ ACM Multimedia, 2022)

Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track. - Tilak Purohit; Imen Ben Mahmoud; Bogdan Vlasenko; Mathew Magimai-Doss (CoRR, 2022)

Towards Learning Emotion Information from Short Segments of Speech. - Tilak Purohit; Sarthak Yadav; Bogdan Vlasenko; S. Pavankumar Dubagunta; Mathew Magimai-Doss (ICASSP, 2023)

Implicit phonetic information modeling for speech emotion recognition. - Tilak Purohit; Bogdan Vlasenko; Mathew Magimai-Doss (INTERSPEECH, 2023)

Comparing data-Driven and Handcrafted Features for Dimensional Emotion Recognition. - Bogdan Vlasenko; Sargam Vyas; Mathew Magimai-Doss (ICASSP, 2024)

Cross-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 (INTERSPEECH, 2024)

Exploring 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 (ICASSP Workshops, 2025)