Evaluation and usability of multimodal spoken language dialogue systems L Dybkjaer, NO Bernsen, W Minker Speech Communication 43 (1-2), 33-54, 2004 | 150 | 2004 |
Endowing spoken language dialogue systems with emotional intelligence E Andre, M Rehm, W Minker, D Bühler Tutorial and Research Workshop on affective Dialogue Systems, 178-187, 2004 | 106 | 2004 |
A spoken language system for information retrieval SK Bennacef, H Bonneau-Maynard, JL Gauvain, LF Lamel, W Minker Third International Conference on Spoken Language Processing, 1994 | 106 | 1994 |
A Parameterized and Annotated Spoken Dialog Corpus of the CMU Let's Go Bus Information System. A Schmitt, S Ultes, W Minker LREC, 3369-3373, 2012 | 93 | 2012 |
Bandwidth extension of speech signals B Iser, G Schmidt, W Minker Springer Science & Business Media, 2008 | 84 | 2008 |
Modeling and predicting quality in spoken human-computer interaction A Schmitt, B Schatz, W Minker Proceedings of the SIGDIAL 2011 Conference, 173-184, 2011 | 79 | 2011 |
Hidden understanding models for machine translation W Minker, M Gavalda, A Waibel ESCA Tutorial and Research Workshop (ETRW) on Interactive Dialogue in Multi …, 1999 | 76 | 1999 |
Affective Dialogue Systems E André, L Dybkjær, W Minker, P Heisterkamp Proceedings of the Irsee Tutorial and Research Workshop on Affective …, 2004 | 68* | 2004 |
A stochastic case frame approach for natural language understanding W Minker, S Bennacef, JL Gauvain Proceeding of Fourth International Conference on Spoken Language Processing …, 1996 | 66 | 1996 |
Statistical pronunciation modeling for non-native speech processing RE Gruhn, W Minker, S Nakamura Springer Science & Business Media, 2011 | 59 | 2011 |
Handling emotions in human-computer dialogues J Pittermann, A Pittermann, W Minker Springer, 2010 | 57 | 2010 |
Stochastic versus rule-based speech understanding for information retrieval W Minker Speech Communication 25 (4), 223-247, 1998 | 52 | 1998 |
Stochastically-based semantic analysis W Minker, A Waibel, J Mariani Springer Science & Business Media, 2012 | 51 | 2012 |
Emotion recognition and adaptation in spoken dialogue systems J Pittermann, A Pittermann, W Minker International Journal of Speech Technology 13 (1), 49-60, 2010 | 48 | 2010 |
Speech and human-machine dialog W Minker, S Bennacef Springer Science & Business Media, 2004 | 48 | 2004 |
Semi-supervised and unsupervised machine learning: novel strategies A Albalate, W Minker John Wiley & Sons, 2013 | 44 | 2013 |
Fusion paradigms in cognitive technical systems for human–computer interaction M Glodek, F Honold, T Geier, G Krell, F Nothdurft, S Reuter, F Schüssel, ... Neurocomputing 161, 17-37, 2015 | 43 | 2015 |
Stochastically-based natural language understanding across tasks and languages W Minker Fifth European Conference on Speech Communication and Technology, 1997 | 39 | 1997 |
Emotion recognition and depression diagnosis by acoustic and visual features: A multimodal approach M Sidorov, W Minker Proceedings of the 4th International Workshop on Audio/Visual Emotion …, 2014 | 37 | 2014 |
Self-adaptive multi-objective genetic algorithms for feature selection C Brester, E Semenkin, M Sidorov, W Minker Proceedings of International Conference on Engineering and Applied Sciences …, 2014 | 37 | 2014 |