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2020 – today
- 2023
[c91]Andreas Wendemuth, Stefan Kopp:
Multiparty Dialogic Processes of Goal and Strategy Formation in Hybrid Teams. CHIRA (1) 2023: 110-120- 2022
- [j19]Ingo Siegert, Norman Weißkirchen, Andreas Wendemuth:
Acoustic-Based Automatic Addressee Detection for Technical Systems: A Review. Frontiers Comput. Sci. 4 (2022) - [j18]Olga Egorow
, Andreas Wendemuth:
On Emotions as Features for Speech Overlaps Classification. IEEE Trans. Affect. Comput. 13(1): 175-186 (2022) - 2021
- [j17]Ingo Siegert, Norman Weißkirchen, Julia Krüger, Oleg Akhtiamov, Andreas Wendemuth:
Admitting the addressee detection faultiness of voice assistants to improve the activation performance using a continuous learning framework. Cogn. Syst. Res. 70: 65-79 (2021) - 2020
- [c90]Norman Weißkirchen, Ronald Böck, Andreas Wendemuth:
Towards True Artificial Peers. ICHMS 2020: 1-5 - [c89]Norman Weißkirchen, Mainampati Vasudeva Reddy, Andreas Wendemuth, Ingo Siegert:
Utilizing Computer Vision Algorithms to Detect and Describe Local Features in Images for Emotion Recognition from Speech. ICHMS 2020: 1-6 - [c88]Ingo Siegert, Yamini Sinha, Oliver Jokisch, Andreas Wendemuth:
Recognition Performance of Selected Speech Recognition APIs - A Longitudinal Study. SPECOM 2020: 520-529
2010 – 2019
- 2019
- [c87]Olga Egorow, Tarik Mrech, Norman Weißkirchen, Andreas Wendemuth:
Employing Bottleneck and Convolutional Features for Speech-Based Physical Load Detection on Limited Data Amounts. INTERSPEECH 2019: 1666-1670 - [c86]Andreas Wendemuth, Stefan Kopp:
Towards cognitive systems for assisted cooperative processes of goal finding and strategy change. SMC 2019: 4302-4307 - [p9]Ronald Böck, Olga Egorow, Juliane Höbel-Müller, Alicia Flores Requardt, Ingo Siegert, Andreas Wendemuth:
Anticipating the User: Acoustic Disposition Recognition in Intelligent Interactions. Innovations in Big Data Mining and Embedded Knowledge 2019: 203-233 - 2018
- [j16]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
Using a PCA-based dataset similarity measure to improve cross-corpus emotion recognition. Comput. Speech Lang. 51: 1-23 (2018) - [c85]Alicia Flores Lotz, Klas Ihme, Audrey Charnoz, Pantelis Maroudis, Ivan Dmitriev, Andreas Wendemuth:
Recognizing Behavioral Factors while Driving: A Real-World Multimodal Corpus to Monitor the Driver's Affective State. LREC 2018 - [c84]Andreas Wendemuth, Ronald Böck, Andreas Nürnberger, Ayoub Al-Hamadi, André Brechmann, Frank W. Ohl:
Intention-Based Anticipatory Interactive Systems. SMC 2018: 2583-2588 - [c83]Norman Weißkirchen, Ronald Böck, Andreas Wendemuth, Andreas Nürnberger:
Significance of Feature Differences in the Distinction of Mental-Load. SMC 2018: 2608-2613 - [c82]Olga Egorow, Ingo Siegert, Andreas Wendemuth:
Improving Emotion Recognition Performance by Random-Forest-Based Feature Selection. SPECOM 2018: 134-144 - 2017
- [c81]Norman Weißkirchen, Ronald Böck, Andreas Wendemuth:
Recognition of emotional speech with convolutional neural networks by means of spectral estimates. ACII Workshops 2017: 50-55 - [c80]Olga Egorow, Alicia Flores Lotz, Ingo Siegert, Ronald Böck, Julia Krüger, Andreas Wendemuth:
Accelerating manual annotation of filled pauses by automatic pre-selection. ICCT 2017: 1-6 - [c79]Ronald Böck, Olga Egorow, Ingo Siegert, Andreas Wendemuth:
Comparative Study on Normalisation in Emotion Recognition from Speech. IHCI 2017: 189-201 - [c78]Olga Egorow, Andreas Wendemuth:
Emotional Features for Speech Overlaps Classification. INTERSPEECH 2017: 2356-2360 - [c77]Juliane Höbel, Georg Jäger, Sebastian Zug, Andreas Wendemuth:
Towards a Sensor Failure-Dependent Performance Adaptation Using the Validity Concept. SAFECOMP 2017: 270-286 - [c76]Ingo Siegert, Alicia Flores Lotz, Olga Egorow, Andreas Wendemuth:
Improving Speech-Based Emotion Recognition by Using Psychoacoustic Modeling and Analysis-by-Synthesis. SPECOM 2017: 445-455 - [p8]Susanne Biundo, Andreas Wendemuth:
An Introduction to Companion-Technology. Companion Technology 2017: 1-15 - [p7]Tatiana Gossen, Ingo Siegert, Andreas Nürnberger, Kim Hartmann, Michael Kotzyba, Andreas Wendemuth:
Modeling Aspects in Human-Computer Interaction: Adaptivity, User Characteristics and Evaluation. Companion Technology 2017: 57-78 - [p6]Dietmar F. Rösner, Jörg Frommer, Andreas Wendemuth, Thomas Bauer, Stephan Günther, Matthias Haase, Ingo Siegert:
The LAST MINUTE Corpus as a Research Resource: From Signal Processing to Behavioral Analyses in User-Companion Interactions. Companion Technology 2017: 277-299 - [p5]Friedhelm Schwenker, Ronald Böck, Martin Schels, Sascha Meudt, Ingo Siegert, Michael Glodek, Markus Kächele, Miriam Schmidt-Wack, Patrick Thiam, Andreas Wendemuth, Gerald Krell:
Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems. Companion Technology 2017: 387-408 - [p4]Andreas Wendemuth, Bogdan Vlasenko, Ingo Siegert, Ronald Böck, Friedhelm Schwenker, Günther Palm:
Emotion Recognition from Speech. Companion Technology 2017: 409-428 - [p3]Thilo Hörnle, Michael Tornow, Frank Honold, Reinhard Schwegler, Ralph Heinemann, Susanne Biundo, Andreas Wendemuth:
Companion-Systems: A Reference Architecture. Companion Technology 2017: 449-469 - [p2]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, Günther Palm, Friedhelm Schwenker, Andreas Wendemuth:
Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System. Companion Technology 2017: 493-500 - [e2]Susanne Biundo, Andreas Wendemuth:
Companion Technology - A Paradigm Shift in Human-Technology Interaction. Cognitive Technologies, Springer 2017, ISBN 978-3-319-43664-7 [contents] - 2016
- [j15]Susanne Biundo, Andreas Wendemuth:
Companion-Technology for Cognitive Technical Systems. Künstliche Intell. 30(1): 71-75 (2016) - [c75]Ingo Schalk-Schupp, Friedrich Faubel, Markus Buck, Andreas Wendemuth:
Combined Linear and Nonlinear Residual Echo Suppression Using a Deficient Distortion Model - A Proof of Concept. ITG Symposium on Speech Communication 2016: 1-5 - [c74]Ingo Siegert, Alicia Flores Lotz, Michael Maruschke, Oliver Jokisch, Andreas Wendemuth:
Emotion Intelligibility within Codec-Compressed and Reduced Bandwidth Speech. ITG Symposium on Speech Communication 2016: 1-5 - [c73]Alicia Flores Lotz, Ingo Siegert, Andreas Wendemuth:
Classification of Functional-Meanings of Non-isolated Discourse Particles in Human-Human-Interaction. HCI (1) 2016: 53-64 - [c72]Ingo Siegert, Julia Krüger, Matthias Haase, Alicia Flores Lotz, Stephan Günther, Jörg Frommer, Dietmar F. Rösner, Andreas Wendemuth:
Discourse Particles in Human-Human and Human-Computer Interaction - Analysis and Evaluation. HCI (1) 2016: 105-117 - [c71]Andreas Wendemuth:
Developing recording and synchronous handling of ten modalities in affective human machine interactions. ERM4CT@ICMI 2016: 4:1-4:2 - [c70]Ingo Schalk-Schupp, Friedrich Faubel, Markus Buck, Andreas Wendemuth:
Approximation of a nonlinear distortion function for combined linear and nonlinear residual echo suppression. IWAENC 2016: 1-5 - [c69]Bogdan Vlasenko, Björn W. Schuller, Andreas Wendemuth:
Tendencies regarding the effect of emotional intensity in inter corpus phoneme-level speech emotion modelling. MLSP 2016: 1-6 - 2015
- [c68]Ingo Siegert, Ronald Böck, Andreas Wendemuth, Bogdan Vlasenko:
Exploring dataset similarities using PCA-based feature selection. ACII 2015: 387-393 - [c67]Björn W. Schuller, Bogdan Vlasenko, Florian Eyben, Martin Wöllmer, André Stuhlsatz, Andreas Wendemuth, Gerhard Rigoll:
Cross-corpus acoustic emotion recognition: Variances and strategies (Extended abstract). ACII 2015: 470-476 - [c66]Ingo Siegert, Ronald Böck, Andreas Wendemuth, Bogdan Vlasenko, Kerstin Ohnemus:
Overlapping speech, utterance duration and affective content in HHI and HCI - An comparison. CogInfoCom 2015: 83-88 - [c65]Kim Hartmann, Julia Krüger, Jörg Frommer, Andreas Wendemuth:
NaLMC: A Database on Non-acted and Acted Emotional Sequences in HCI. ICMI 2015: 199-202 - [c64]Bogdan Vlasenko, Andreas Wendemuth:
Annotators' agreement and spontaneous emotion classification performance. INTERSPEECH 2015: 1546-1550 - [e1]Susanne Biundo-Stephan, Andreas Wendemuth, Enrico Rukzio:
Proceedings of the 1st International Symposium on Companion-Technology (ISCT 2015), September 23rd-25th, Ulm University, Germany. Ulm University 2015 [contents] - 2014
- [j14]Ingo Siegert, David Philippou-Hübner, Kim Hartmann, Ronald Böck, Andreas Wendemuth:
Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech. Cogn. Comput. 6(4): 892-913 (2014) - [j13]Bogdan Vlasenko, Dmytro Prylipko, Ronald Böck, Andreas Wendemuth:
Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications. Comput. Speech Lang. 28(2): 483-500 (2014) - [j12]Stefan Glüge, Ronald Böck, Günther Palm, Andreas Wendemuth:
Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error. Neurocomputing 141: 54-64 (2014) - [j11]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
Inter-rater reliability for emotion annotation in human-computer interaction: comparison and methodological improvements. J. Multimodal User Interfaces 8(1): 17-28 (2014) - [j10]Dmytro Prylipko, Dietmar F. Rösner, Ingo Siegert, Stephan Günther, Rafael Friesen, Matthias Haase, Bogdan Vlasenko, Andreas Wendemuth:
Analysis of significant dialog events in realistic human-computer interaction. J. Multimodal User Interfaces 8(1): 75-86 (2014) - [c63]Ingo Siegert, Matthias Haase, Dmytro Prylipko, Andreas Wendemuth:
Discourse Particles and User Characteristics in Naturalistic Human-Computer Interaction. HCI (2) 2014: 492-501 - [c62]Bogdan Vlasenko, Andreas Wendemuth:
Location of an emotionally neutral region in valence-arousal space: Two-class vs. three-class cross corpora emotion recognition evaluations. ICME 2014: 1-6 - [c61]Dmytro Prylipko, Olga Egorow, Ingo Siegert, Andreas Wendemuth:
Application of image processing methods to filled pauses detection from spontaneous speech. INTERSPEECH 2014: 1816-1820 - 2013
- [c60]Bogdan Vlasenko, David Philippou-Hübner, Andreas Wendemuth:
Parameter Optimization Issues for Cross-corpora Emotion Classification. ACII 2013: 454-459 - [c59]Bogdan Vlasenko, Andreas Wendemuth:
Determining the Smallest Emotional Unit for Level of Arousal Classification. ACII 2013: 734-739 - [c58]Ronald Böck, Stefan Glüge, Ingo Siegert, Andreas Wendemuth:
Annotation and Classification of Changes of Involvement in Group Conversation. ACII 2013: 803-808 - [c57]Ingo Siegert, Michael Glodek, Axel Panning, Gerald Krell, Friedhelm Schwenker, Ayoub Al-Hamadi, Andreas Wendemuth:
Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions. CYBCONF 2013: 132-137 - [c56]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Auto-encoder pre-training of segmented-memory recurrent neural networks. ESANN 2013 - [c55]Ingo Siegert, Kim Hartmann, David Philippou-Hübner, Andreas Wendemuth:
Human Behaviour in HCI: Complex Emotion Detection through Sparse Speech Features. HBU 2013: 246-257 - [c54]Ronald Böck, Kerstin Limbrecht-Ecklundt, Ingo Siegert, Steffen Walter, Andreas Wendemuth:
Audio-Based Pre-classification for Semi-automatic Facial Expression Coding. HCI (5) 2013: 301-309 - [c53]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
The Influence of Context Knowledge for Multi-modal Affective Annotation. HCI (5) 2013: 381-390 - [c52]Kim Hartmann, Ingo Siegert, David Philippou-Hübner, Andreas Wendemuth:
Emotion Detection in HCI: From Speech Features to Emotion Space. IFAC HMS 2013: 288-295 - [c51]Ronald Böck, Stefan Glüge, Andreas Wendemuth:
Dempster-Shafer Theory with Smoothness. IUKM 2013: 13-22 - [c50]Stefan Glüge, Andreas Wendemuth:
Solving Number Series with Simple Recurrent Networks. IWINAC (1) 2013: 412-420 - [c49]Ingo Siegert, Dmytro Prylipko, Kim Hartmann, Ronald Böck, Andreas Wendemuth:
Investigating the Form-Function-Relation of the Discourse Particle "hm" in a Naturalistic Human-Computer Interaction. WIRN 2013: 387-394 - 2012
- [j9]Andreas Wendemuth, Italo Simonelli:
Majority Decisions in Overlapping Committees and Asymptotic Size of Dichotomies. SIAM J. Discret. Math. 26(4): 1537-1549 (2012) - [c48]Ronald Böck, Stefan Glüge, Andreas Wendemuth, Kerstin Limbrecht, Steffen Walter, David Hrabal, Harald C. Traue:
Intraindividual and interindividual multimodal emotion analyses in Human-Machine-Interaction. CogSIMA 2012: 59-64 - [c47]Dmytro Prylipko, Björn W. Schuller, Andreas Wendemuth:
Fine-tuning HMMS for nonverbal vocalizations in spontaneous speech: A multicorpus perspective. ICASSP 2012: 4625-4628 - [c46]David Philippou-Hübner, Bogdan Vlasenko, Ronald Böck, Andreas Wendemuth:
The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech. ICME 2012: 248-253 - [c45]David Philippou-Hübner, Bogdan Vlasenko, Ronald Böck, Andreas Wendemuth:
The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech. ICME Workshops 2012: 296-301 - [c44]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Extension of Backpropagation through Time for Segmented-memory Recurrent Neural Networks. IJCCI 2012: 451-456 - [c43]Jörg Frommer, Bernd Michaelis, Dietmar F. Rösner, Andreas Wendemuth, Rafael Friesen, Matthias Haase, Manuela Kunze, Rico Andrich, Julia Lange, Axel Panning, Ingo Siegert:
Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus. LREC 2012: 3064-3069 - [c42]Gerald Krell, Michael Glodek, Axel Panning, Ingo Siegert, Bernd Michaelis, Andreas Wendemuth, Friedhelm Schwenker:
Fusion of Fragmentary Classifier Decisions for Affective State Recognition. MPRSS 2012: 116-130 - [c41]Dmytro Prylipko, Bogdan Vlasenko, Andreas Stolcke, Andreas Wendemuth:
Language Modeling of Nonverbal Vocalizations in Spontaneous Speech. TSD 2012: 488-495 - 2011
- [c40]Ronald Böck, Ingo Siegert, Matthias Haase, Julia Lange, Andreas Wendemuth:
ikannotate - A Tool for Labelling, Transcription, and Annotation of Emotionally Coloured Speech. ACII (1) 2011: 25-34 - [c39]Andreas Wendemuth, Susanne Biundo:
A Companion Technology for Cognitive Technical Systems. COST 2102 Training School 2011: 89-103 - [c38]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
Modeling Users' Mood State to Improve Human-Machine-Interaction. COST 2102 Training School 2011: 273-279 - [c37]Susanne Biundo, Dietmar F. Rösner, Harald C. Traue, Andreas Wendemuth:
Workshop: Companion-Systeme und Mensch-Companion-Interaktion. GI-Jahrestagung 2011: 235 - [c36]Ingo Siegert, Ronald Böck, Bogdan Vlasenko, David Philippou-Hübner, Andreas Wendemuth:
Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins. ICME 2011: 1-6 - [c35]Bogdan Vlasenko, David Philippou-Hübner, Dmytro Prylipko, Ronald Böck, Ingo Siegert, Andreas Wendemuth:
Vowels formants analysis allows straightforward detection of high arousal emotions. ICME 2011: 1-6 - [c34]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Segmented-Memory Recurrent Neural Networks versus Hidden Markov Models in Emotion Recognition from Speech. IJCCI (NCTA) 2011: 308-315 - [c33]Bogdan Vlasenko, Dmytro Prylipko, David Philippou-Hübner, Andreas Wendemuth:
Vowels Formants Analysis Allows Straightforward Detection of High Arousal Acted and Spontaneous Emotions. INTERSPEECH 2011: 1577-1580 - [c32]Stefan Glüge, Oussama H. Hamid, Jochen Braun, Andreas Wendemuth:
A Markov Model of Conditional Associative Learning in a Cognitive Behavioural Scenario. IWINAC (1) 2011: 10-19 - [c31]Dmytro Prylipko, Dirk Schnelle-Walka, Spencer Lord, Andreas Wendemuth:
Zanzibar OpenIVR: An Open-Source Framework for Development of Spoken Dialog Systems. TSD 2011: 372-379 - 2010
- [j8]Stefan Glüge, Oussama H. Hamid, Andreas Wendemuth:
A Simple Recurrent Network for Implicit Learning of Temporal Sequences. Cogn. Comput. 2(4): 265-271 (2010) - [j7]Susanne Biundo, Andreas Wendemuth:
Von kognitiven technischen Systemen zu Companion-Systemen. Künstliche Intell. 24(4): 335-339 (2010) - [j6]Björn W. Schuller, Bogdan Vlasenko, Florian Eyben, Martin Wöllmer, André Stuhlsatz, Andreas Wendemuth, Gerhard Rigoll:
Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies. IEEE Trans. Affect. Comput. 1(2): 119-131 (2010) - [c30]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Implicit Sequence Learning - A Case Study with a 4-2-4 Encoder Simple Recurrent Network. IJCCI (ICFC-ICNC) 2010: 279-288 - [c29]David Philippou-Hübner, Bogdan Vlasenko, Tobias Grosser, Andreas Wendemuth:
Determining optimal features for emotion recognition from speech by applying an evolutionary algorithm. INTERSPEECH 2010: 2358-2361
2000 – 2009
- 2009
- [c28]Björn W. Schuller, Bogdan Vlasenko, Florian Eyben, Gerhard Rigoll, Andreas Wendemuth:
Acoustic emotion recognition: A benchmark comparison of performances. ASRU 2009: 552-557 - [c27]Bogdan Vlasenko, Andreas Wendemuth:
Heading toward to the natural way of human-machine interaction: the nimitek project. ICME 2009: 950-953 - [c26]Bogdan Vlasenko, Andreas Wendemuth:
Processing affected speech within human machine interaction. INTERSPEECH 2009: 2039-2042 - 2008
- [c25]Björn W. Schuller, Bogdan Vlasenko, Dejan Arsic, Gerhard Rigoll, Andreas Wendemuth:
Combining speech recognition and acoustic word emotion models for robust text-independent emotion recognition. ICME 2008: 1333-1336 - [c24]André Stuhlsatz, Hans-Günter Meier, Andreas Wendemuth:
Making the Lipschitz Classifier Practical via Semi-infinite Programming. ICMLA 2008: 40-47 - [c23]Bogdan Vlasenko, Björn W. Schuller, Kinfe Tadesse Mengistu, Gerhard Rigoll, Andreas Wendemuth:
Balancing spoken content adaptation and unit length in the recognition of emotion and interest. INTERSPEECH 2008: 805-808 - [c22]Andreas Wendemuth, Jochen Braun, Bernd Michaelis, Frank W. Ohl, Dietmar F. Rösner, Henning Scheich, Ralf Warnemünde:
Neurobiologically Inspired, Multimodal Intention Recognition for Technical Communication Systems (NIMITEK). PIT 2008: 141-144 - [c21]Bogdan Vlasenko, Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll:
On the Influence of Phonetic Content Variation for Acoustic Emotion Recognition. PIT 2008: 217-220 - [c20]Kinfe Tadesse Mengistu, Mirko Hannemann, Tobias Baum, Andreas Wendemuth:
Hierarchical HMM-based semantic concept labeling model. SLT 2008: 57-60 - [c19]Kinfe Tadesse Mengistu, Andreas Wendemuth:
Accent and Channel Adaptation for Use in a Telephone-Based Spoken Dialog System. TSD 2008: 403-410 - [p1]André Stuhlsatz, Hans-Günter Meier, Andreas Wendemuth:
Maximum Margin Classification on Convex Euclidean Metric Spaces. Computer Recognition Systems 2 2008: 216-223 - 2007
- [c18]Bogdan Vlasenko, Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll:
Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing. ACII 2007: 139-147 - [c17]Björn W. Schuller, Bogdan Vlasenko, Ricardo Minguez, Gerhard Rigoll, Andreas Wendemuth:
Comparing one and two-stage acoustic modeling in the recognition of emotion in speech. ASRU 2007: 596-600 - [c16]Edin Andelic, Martin Schafföner, Marcel Katz, Sven E. Krüger, Andreas Wendemuth:
Updates for Nonlinear Discriminants. IJCAI 2007: 660-665 - [c15]Andreas Wendemuth:
Dynamics of Temporal Difference Learning. IJCAI 2007: 1107-1112 - [c14]Bogdan Vlasenko, Björn W. Schuller, Andreas Wendemuth, Gerhard Rigoll:
Combining frame and turn-level information for robust recognition of emotions within speech. INTERSPEECH 2007: 2249-2252 - [c13]Marcel Katz, Martin Schafföner, Sven E. Krüger, Andreas Wendemuth:
Score calibrating for speaker recognition based on support vector machines and gaussian mixture models. SIP 2007: 139-144 - [c12]Martin Schafföner, Edin Andelic, Marcel Katz, Sven E. Krüger, Andreas Wendemuth:
Memory-Effcient Orthogonal Least Squares Kernel Density Estimation using Enhanced Empirical Cumulative Distribution Functions. AISTATS 2007: 428-435 - 2006
- [j5]Edin Andelic, Martin Schafföner, Marcel Katz, Sven E. Krüger, Andreas Wendemuth:
Kernel Least-Squares Models Using Updates of the Pseudoinverse. Neural Comput. 18(12): 2928-2935 (2006) - [c11]Martin Schafföner, Sven E. Krüger, Edin Andelic, Marcel Katz, Andreas Wendemuth:
Limited Training Data Robust Speech Recognition Using Kernel-Based Acoustic Models. ICASSP (1) 2006: 1137-1140 - [c10]Sven E. Krüger, Martin Schafföner, Marcel Katz, Edin Andelic, Andreas Wendemuth:
Mixture of Support Vector Machines for HMM based Speech Recognition. ICPR (4) 2006: 326-329 - [c9]Marcel Katz, Sven E. Krüger, Martin Schafföner, Edin Andelic, Andreas Wendemuth:
Speaker Identification and Verification Using Support Vector Machines and Sparse Kernel Logistic Regression. IWICPAS 2006: 176-184 - [c8]Marcel Katz, Martin Schafföner, Edin Andelic, Sven E. Krüger, Andreas Wendemuth:
Sparse Kernel Logistic Regression using Incremental Feature Selection for Text-Independent Speaker Identification. Odyssey 2006: 1-6 - 2005
- [b2]Andreas Wendemuth:
Grundlagen der digitalen Signalverarbeitung - ein mathematischer Zugang. Springer 2005, ISBN 978-3-540-21885-2, pp. I-XII, 1-268 - [c7]Sven E. Krüger, Martin Schafföner, Marcel Katz, Edin Andelic, Andreas Wendemuth:
Speech recognition with support vector machines in a hybrid system. INTERSPEECH 2005: 993-996 - 2003
- [c6]Martin Schafföner, Marcel Katz, Sven E. Krüger, Andreas Wendemuth:
Improved robustness of automatic speech recognition using a new class definition in linear discriminant analysis. INTERSPEECH 2003: 2841-2844 - 2002
- [j4]Peter Beyerlein, Xavier L. Aubert, Reinhold Haeb-Umbach, Matthew Harris, Dietrich Klakow, Andreas Wendemuth, Sirko Molau, Hermann Ney, Michael Pitz, Achim Sixtus:
Large vocabulary continuous speech recognition of Broadcast News - The Philips/RWTH approach. Speech Commun. 37(1-2): 109-131 (2002) - 2001
- [c5]Andreas Wendemuth:
Modeling uncertainty of data observation. ICASSP 2001: 501-504
1990 – 1999
- 1999
- [c4]Andreas Wendemuth, Georg Rose, Hans J. G. A. Dolfing:
Advances in confidence measures for large vocabulary. ICASSP 1999: 705-708 - [c3]Andreas Wendemuth, Michael Gerke:
Optimal training parameters in multilayer feedforward networks. IJCNN 1999: 1881-1884 - [c2]Peter Beyerlein, Xavier L. Aubert, Reinhold Haeb-Umbach, Matthew Harris, Dietrich Klakow, Andreas Wendemuth, Sirko Molau, Michael Pitz, Achim Sixtus:
The philips/RWTH system for transcription of broadcast news. EUROSPEECH 1999 - 1998
- [c1]J. G. A. Dolfing, Andreas Wendemuth:
Combination of confidence measures in isolated word recognition. ICSLP 1998 - 1995
- [j3]Andreas Wendemuth:
Stabilities in optimal cluster separation networks. Neural Networks 8(3): 387-390 (1995) - 1994
- [b1]Andreas Wendemuth:
Optimisation in neural networks. University of Oxford, UK, 1994 - [j2]Andreas Wendemuth:
Storage Capacity Bounds in Multilayer Neural Networks. Int. J. Neural Syst. 5(3): 217-228 (1994) - 1993
- [j1]Andreas Wendemuth, David Sherrington:
Fast Learning Of Biased Patterns In Neural Networks. Int. J. Neural Syst. 4(3): 223-230 (1993)
Coauthor Index
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