Fast Learning Of Biased Patterns In Neural Networks. - Andreas Wendemuth; David Sherrington (Int. J. Neural Syst., 1993)

Storage Capacity Bounds in Multilayer Neural Networks. - Andreas Wendemuth (Int. J. Neural Syst., 1994)

Optimisation in neural networks. - Andreas Wendemuth (1994)

Stabilities in optimal cluster separation networks. - Andreas Wendemuth (Neural Networks, 1995)

Combination of confidence measures in isolated word recognition. - J. G. A. Dolfing; Andreas Wendemuth (ICSLP, 1998)

Advances in confidence measures for large vocabulary. - Andreas Wendemuth; Georg Rose; Hans J. G. A. Dolfing (ICASSP, 1999)

Optimal training parameters in multilayer feedforward networks. - Andreas Wendemuth; Michael Gerke 001 (IJCNN, 1999)

The philips/RWTH system for transcription of broadcast news. - Peter Beyerlein; Xavier L. Aubert; Reinhold Haeb-Umbach; Matthew Harris; Dietrich Klakow; Andreas Wendemuth; Sirko Molau; Michael Pitz; Achim Sixtus (EUROSPEECH, 1999)

Modeling uncertainty of data observation. - Andreas Wendemuth (ICASSP, 2001)

Large vocabulary continuous speech recognition of Broadcast News - The Philips/RWTH approach. - Peter Beyerlein; Xavier L. Aubert; Reinhold Haeb-Umbach; Matthew Harris; Dietrich Klakow; Andreas Wendemuth; Sirko Molau; Hermann Ney; Michael Pitz; Achim Sixtus (Speech Commun., 2002)

Improved robustness of automatic speech recognition using a new class definition in linear discriminant analysis. - Martin Schafföner; Marcel Katz; Sven E. Krüger; Andreas Wendemuth (INTERSPEECH, 2003)

Grundlagen der digitalen Signalverarbeitung - ein mathematischer Zugang. - Andreas Wendemuth (Springer, 2005)

Speech recognition with support vector machines in a hybrid system. - Sven E. Krüger; Martin Schafföner; Marcel Katz; Edin Andelic; Andreas Wendemuth (INTERSPEECH, 2005)

Limited Training Data Robust Speech Recognition Using Kernel-Based Acoustic Models. - Martin Schafföner; Sven E. Krüger; Edin Andelic; Marcel Katz; Andreas Wendemuth (ICASSP (1), 2006)

Mixture of Support Vector Machines for HMM based Speech Recognition. - Sven E. Krüger; Martin Schafföner; Marcel Katz; Edin Andelic; Andreas Wendemuth (ICPR (4), 2006)

Speaker Identification and Verification Using Support Vector Machines and Sparse Kernel Logistic Regression. - Marcel Katz; Sven E. Krüger; Martin Schafföner; Edin Andelic; Andreas Wendemuth (IWICPAS, 2006)

Sparse Kernel Logistic Regression using Incremental Feature Selection for Text-Independent Speaker Identification. - Marcel Katz; Martin Schafföner; Edin Andelic; Sven E. Krüger; Andreas Wendemuth (Odyssey, 2006)

Kernel Least-Squares Models Using Updates of the Pseudoinverse. - Edin Andelic; Martin Schafföner; Marcel Katz; Sven E. Krüger; Andreas Wendemuth (Neural Comput., 2006)

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)

Updates for Nonlinear Discriminants. - Edin Andelic; Martin Schafföner; Marcel Katz; Sven E. Krüger; Andreas Wendemuth (IJCAI, 2007)

Dynamics of Temporal Difference Learning. - Andreas Wendemuth (IJCAI, 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)

Score calibrating for speaker recognition based on support vector machines and gaussian mixture models. - Marcel Katz; Martin Schafföner; Sven E. Krüger; Andreas Wendemuth (SIP, 2007)

Memory-Effcient Orthogonal Least Squares Kernel Density Estimation using Enhanced Empirical Cumulative Distribution Functions. - Martin Schafföner; Edin Andelic; Marcel Katz; Sven E. Krüger; Andreas Wendemuth (AISTATS, 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)

Making the Lipschitz Classifier Practical via Semi-infinite Programming. - André Stuhlsatz; Hans-Günter Meier; Andreas Wendemuth (ICMLA, 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)

Neurobiologically Inspired, Multimodal Intention Recognition for Technical Communication Systems (NIMITEK). - Andreas Wendemuth; Jochen Braun; Bernd Michaelis; Frank W. Ohl; Dietmar F. Rösner; Henning Scheich; Ralf Warnemünde (PIT, 2008)

Hierarchical HMM-based semantic concept labeling model. - Kinfe Tadesse Mengistu; Mirko Hannemann; Tobias Baum; Andreas Wendemuth (SLT, 2008)

Accent and Channel Adaptation for Use in a Telephone-Based Spoken Dialog System. - Kinfe Tadesse Mengistu; Andreas Wendemuth (TSD, 2008)

Maximum Margin Classification on Convex Euclidean Metric Spaces. - André Stuhlsatz; Hans-Günter Meier; Andreas Wendemuth (Computer Recognition Systems 2, 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)

Implicit Sequence Learning - A Case Study with a 4-2-4 Encoder Simple Recurrent Network. - Stefan Glüge; Ronald Böck; Andreas Wendemuth (IJCCI (ICFC-ICNC), 2010)

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

A Simple Recurrent Network for Implicit Learning of Temporal Sequences. - Stefan Glüge; Oussama H. Hamid; Andreas Wendemuth (Cogn. Comput., 2010)

Von kognitiven technischen Systemen zu Companion-Systemen. - Susanne Biundo; Andreas Wendemuth (Künstliche Intell., 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)

ikannotate - A Tool for Labelling, Transcription, and Annotation of Emotionally Coloured Speech. - Ronald Böck; Ingo Siegert; Matthias Haase; Julia Lange; Andreas Wendemuth (ACII (1), 2011)

Modeling Users' Mood State to Improve Human-Machine-Interaction. - Ingo Siegert; Ronald Böck; Andreas Wendemuth (COST 2102 Training School, 2011)

Workshop: Companion-Systeme und Mensch-Companion-Interaktion. - Susanne Biundo; Dietmar F. Rösner; Harald C. Traue; Andreas Wendemuth (GI-Jahrestagung, 2011)

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)

Segmented-Memory Recurrent Neural Networks versus Hidden Markov Models in Emotion Recognition from Speech. - Stefan Glüge; Ronald Böck; Andreas Wendemuth (IJCCI (NCTA), 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)

A Markov Model of Conditional Associative Learning in a Cognitive Behavioural Scenario. - Stefan Glüge; Oussama H. Hamid; Jochen Braun; Andreas Wendemuth (IWINAC (1), 2011)

Zanzibar OpenIVR: An Open-Source Framework for Development of Spoken Dialog Systems. - Dmytro Prylipko; Dirk Schnelle-Walka; Spencer Lord; Andreas Wendemuth (TSD, 2011)

Intraindividual and interindividual multimodal emotion analyses in Human-Machine-Interaction. - Ronald Böck; Stefan Glüge; Andreas Wendemuth; Kerstin Limbrecht; Steffen Walter 001; David Hrabal; Harald C. Traue (CogSIMA, 2012)

Fine-tuning HMMS for nonverbal vocalizations in spontaneous speech: A multicorpus perspective. - Dmytro Prylipko; Björn W. Schuller; Andreas Wendemuth (ICASSP, 2012)

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

Extension of Backpropagation through Time for Segmented-memory Recurrent Neural Networks. - Stefan Glüge; Ronald Böck; Andreas Wendemuth (IJCCI, 2012)

Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus. - Jörg Frommer; Bernd Michaelis; Dietmar F. Rösner; Andreas Wendemuth; Rafael Friesen; Matthias Haase; Manuela Kunze; Rico Andrich; Julia Lange; Axel Panning; Ingo Siegert (LREC, 2012)

Fusion of Fragmentary Classifier Decisions for Affective State Recognition. - Gerald Krell; Michael Glodek; Axel Panning; Ingo Siegert; Bernd Michaelis; Andreas Wendemuth; Friedhelm Schwenker (MPRSS, 2012)

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

Majority Decisions in Overlapping Committees and Asymptotic Size of Dichotomies. - Andreas Wendemuth; Italo Simonelli (SIAM J. Discret. Math., 2012)

Annotation and Classification of Changes of Involvement in Group Conversation. - Ronald Böck; Stefan Glüge; Ingo Siegert; Andreas Wendemuth (ACII, 2013)

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)

Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions. - Ingo Siegert; Michael Glodek; Axel Panning; Gerald Krell; Friedhelm Schwenker; Ayoub Al-Hamadi; Andreas Wendemuth (CYBCONF, 2013)

Auto-encoder pre-training of segmented-memory recurrent neural networks. - Stefan Glüge; Ronald Böck; Andreas Wendemuth (ESANN, 2013)

Human Behaviour in HCI: Complex Emotion Detection through Sparse Speech Features. - Ingo Siegert; Kim Hartmann; David Philippou-Hübner; Andreas Wendemuth (HBU, 2013)

Audio-Based Pre-classification for Semi-automatic Facial Expression Coding. - Ronald Böck; Kerstin Limbrecht-Ecklundt; Ingo Siegert; Steffen Walter 001; Andreas Wendemuth (HCI (5), 2013)

The Influence of Context Knowledge for Multi-modal Affective Annotation. - Ingo Siegert; Ronald Böck; Andreas Wendemuth (HCI (5), 2013)

Emotion Detection in HCI: From Speech Features to Emotion Space. - Kim Hartmann; Ingo Siegert; David Philippou-Hübner; Andreas Wendemuth (IFAC HMS, 2013)

Dempster-Shafer Theory with Smoothness. - Ronald Böck; Stefan Glüge; Andreas Wendemuth (IUKM, 2013)

Solving Number Series with Simple Recurrent Networks. - Stefan Glüge; Andreas Wendemuth (IWINAC (1), 2013)

Investigating the Form-Function-Relation of the Discourse Particle "hm" in a Naturalistic Human-Computer Interaction. - Ingo Siegert; Dmytro Prylipko; Kim Hartmann; Ronald Böck; Andreas Wendemuth (WIRN, 2013)

Discourse Particles and User Characteristics in Naturalistic Human-Computer Interaction. - Ingo Siegert; Matthias Haase; Dmytro Prylipko; Andreas Wendemuth (HCI (2), 2014)

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)

Application of image processing methods to filled pauses detection from spontaneous speech. - Dmytro Prylipko; Olga Egorow; Ingo Siegert; Andreas Wendemuth (INTERSPEECH, 2014)

Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech. - Ingo Siegert; David Philippou-Hübner; Kim Hartmann; Ronald Böck; Andreas Wendemuth (Cogn. Comput., 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)

Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error. - Stefan Glüge; Ronald Böck; Günther Palm; Andreas Wendemuth (Neurocomputing, 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)

Inter-rater reliability for emotion annotation in human-computer interaction: comparison and methodological improvements. - Ingo Siegert; Ronald Böck; 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)

NaLMC: A Database on Non-acted and Acted Emotional Sequences in HCI. - Kim Hartmann; Julia Krüger; Jörg Frommer; Andreas Wendemuth (ICMI, 2015)

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

Combined Linear and Nonlinear Residual Echo Suppression Using a Deficient Distortion Model - A Proof of Concept. - Ingo Schalk-Schupp; Friedrich Faubel; Markus Buck; Andreas Wendemuth (ITG Symposium on Speech Communication, 2016)

Emotion Intelligibility within Codec-Compressed and Reduced Bandwidth Speech. - Ingo Siegert; Alicia Flores Lotz; Michael Maruschke; Oliver Jokisch; Andreas Wendemuth (ITG Symposium on Speech Communication, 2016)

Classification of Functional-Meanings of Non-isolated Discourse Particles in Human-Human-Interaction. - Alicia Flores Lotz; Ingo Siegert; Andreas Wendemuth (HCI (1), 2016)

Discourse Particles in Human-Human and Human-Computer Interaction - Analysis and Evaluation. - Ingo Siegert; Julia Krüger; Matthias Haase; Alicia Flores Lotz; Stephan Günther; Jörg Frommer; Dietmar F. Rösner; Andreas Wendemuth (HCI (1), 2016)

Developing recording and synchronous handling of ten modalities in affective human machine interactions. - Andreas Wendemuth (ERM4CT@ICMI, 2016)

Approximation of a nonlinear distortion function for combined linear and nonlinear residual echo suppression. - Ingo Schalk-Schupp; Friedrich Faubel; Markus Buck; Andreas Wendemuth (IWAENC, 2016)

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

Companion-Technology for Cognitive Technical Systems. - Susanne Biundo; Andreas Wendemuth (Künstliche Intell., 2016)

Recognition of emotional speech with convolutional neural networks by means of spectral estimates. - Norman Weißkirchen; Ronald Böck; Andreas Wendemuth (ACII Workshops, 2017)

Accelerating manual annotation of filled pauses by automatic pre-selection. - Olga Egorow; Alicia Flores Lotz; Ingo Siegert; Ronald Böck; Julia Krüger; Andreas Wendemuth (ICCT, 2017)

Comparative Study on Normalisation in Emotion Recognition from Speech. - Ronald Böck; Olga Egorow; Ingo Siegert; Andreas Wendemuth (IHCI, 2017)

Emotional Features for Speech Overlaps Classification. - Olga Egorow; Andreas Wendemuth (INTERSPEECH, 2017)

Towards a Sensor Failure-Dependent Performance Adaptation Using the Validity Concept. - Juliane Höbel; Georg Jäger; Sebastian Zug; Andreas Wendemuth (SAFECOMP, 2017)

Improving Speech-Based Emotion Recognition by Using Psychoacoustic Modeling and Analysis-by-Synthesis. - Ingo Siegert; Alicia Flores Lotz; Olga Egorow; Andreas Wendemuth (SPECOM, 2017)

An Introduction to Companion-Technology. - Susanne Biundo; Andreas Wendemuth (Companion Technology, 2017)

Modeling Aspects in Human-Computer Interaction: Adaptivity, User Characteristics and Evaluation. - Tatiana Gossen; Ingo Siegert; Andreas Nürnberger; Kim Hartmann; Michael Kotzyba; Andreas Wendemuth (Companion Technology, 2017)

Companion-Systems: A Reference Architecture. - Thilo Hörnle; Michael Tornow; Frank Honold; Reinhard Schwegler; Ralph Heinemann; Susanne Biundo; Andreas Wendemuth (Companion Technology, 2017)

The LAST MINUTE Corpus as a Research Resource: From Signal Processing to Behavioral Analyses in User-Companion Interactions. - Dietmar F. Rösner; Jörg Frommer; Andreas Wendemuth; Thomas Bauer; Stephan Günther; Matthias Haase; Ingo Siegert (Companion Technology, 2017)

Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems. - Friedhelm Schwenker; Ronald Böck; Martin Schels; Sascha Meudt; Ingo Siegert; Michael Glodek; Markus Kächele; Miriam Schmidt-Wack; Patrick Thiam; Andreas Wendemuth; Gerald Krell (Companion Technology, 2017)

Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System. - Ingo Siegert; Felix Schüssel; Miriam Schmidt; Stephan Reuter; Sascha Meudt; Georg Layher; Gerald Krell; Thilo Hörnle; Sebastian Handrich; Ayoub Al-Hamadi; Klaus Dietmayer; Heiko Neumann; et al. (Companion Technology, 2017)

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

Recognizing Behavioral Factors while Driving: A Real-World Multimodal Corpus to Monitor the Driver's Affective State. - Alicia Flores Lotz; Klas Ihme; Audrey Charnoz; Pantelis Maroudis; Ivan Dmitriev; Andreas Wendemuth (LREC, 2018)

Significance of Feature Differences in the Distinction of Mental-Load. - Norman Weißkirchen; Ronald Böck; Andreas Wendemuth; Andreas Nürnberger (SMC, 2018)

Intention-Based Anticipatory Interactive Systems. - Andreas Wendemuth; Ronald Böck; Andreas Nürnberger; Ayoub Al-Hamadi; André Brechmann; Frank W. Ohl (SMC, 2018)

Improving Emotion Recognition Performance by Random-Forest-Based Feature Selection. - Olga Egorow; Ingo Siegert; Andreas Wendemuth (SPECOM, 2018)

Using a PCA-based dataset similarity measure to improve cross-corpus emotion recognition. - Ingo Siegert; Ronald Böck; Andreas Wendemuth (Comput. Speech Lang., 2018)

Employing Bottleneck and Convolutional Features for Speech-Based Physical Load Detection on Limited Data Amounts. - Olga Egorow; Tarik Mrech; Norman Weißkirchen; Andreas Wendemuth (INTERSPEECH, 2019)

Towards cognitive systems for assisted cooperative processes of goal finding and strategy change. - Andreas Wendemuth; Stefan Kopp (SMC, 2019)

Anticipating the User: Acoustic Disposition Recognition in Intelligent Interactions. - Ronald Böck; Olga Egorow; Juliane Höbel-Müller; Alicia Flores Requardt; Ingo Siegert; Andreas Wendemuth (Innovations in Big Data Mining and Embedded Knowledge, 2019)

Towards True Artificial Peers. - Norman Weißkirchen; Ronald Böck; Andreas Wendemuth (ICHMS, 2020)

Utilizing Computer Vision Algorithms to Detect and Describe Local Features in Images for Emotion Recognition from Speech. - Norman Weißkirchen; Mainampati Vasudeva Reddy; Andreas Wendemuth; Ingo Siegert (ICHMS, 2020)

Recognition Performance of Selected Speech Recognition APIs - A Longitudinal Study. - Ingo Siegert; Yamini Sinha; Oliver Jokisch; Andreas Wendemuth (SPECOM, 2020)

Admitting the addressee detection faultiness of voice assistants to improve the activation performance using a continuous learning framework. - Ingo Siegert; Norman Weißkirchen; Julia Krüger; Oleg Akhtiamov; Andreas Wendemuth (Cogn. Syst. Res., 2021)

Acoustic-Based Automatic Addressee Detection for Technical Systems: A Review. - Ingo Siegert; Norman Weißkirchen; Andreas Wendemuth (Frontiers Comput. Sci., 2022)

On Emotions as Features for Speech Overlaps Classification. - Olga Egorow; Andreas Wendemuth (IEEE Trans. Affect. Comput., 2022)

Multiparty Dialogic Processes of Goal and Strategy Formation in Hybrid Teams. - Andreas Wendemuth; Stefan Kopp (CHIRA (1), 2023)

Goal and Strategy Evolution in Man-Machine Teams Through Dialogic Processes. - Andreas Wendemuth (CogSIMA, 2025)