Robust Rejection Modeling for a Small-Vocabulary Application
D. Langmann, R. Haeb-Umbach, T. Eisele, in: ITG Fachtagung Sprachkommunikation, Frankfurt, 1996.

Application of Clustering Techniques to Mixture Density Modelling for Continuous-Speech Recognition
C. Dugast, P. Beyerlein, R. Haeb-Umbach, in: ICASSP, Detroit, 1995.

User interface design of voice controlled consumer electronics
S. Gamm, R. Haeb-Umbach, Philips Journal of Research (1995).

Human Factors of a Voice-Controlled Car Stereo
S. Gamm, R. Haeb-Umbach, in: Eurospeech, Madrid, 1995.

The Usability Engineering of a Voice-Controlled Answering Machine
S. Gamm, R. Haeb-Umbach, D. Langmann, in: International Symposium on Human Factors in Telecommunications, Melbourne, 1995.

Speech recognition algorithms for voice control interfaces
R. Haeb-Umbach, P. Beyerlein, D. Geller, Philips Journal of Research (1995).

Automatic Transcription of Unknown Words in a Speech Recognition System
R. Haeb-Umbach, P. Beyerlein, E. Thelen, in: ICASSP, Detroit, 1995.

The Philips Research system for continuous-speech dictation
V. Steinbiss, H.J. Ney, X.L. Aubert, S. Besling, C. Dugast, U. Essen, D. Geller, R. Haeb-Umbach, R. Kneser, H.G. Meier, M. Oerder, B.H. Tran, Philips Journal of Research (1995).

Continuous speech dictation - From theory to practice
V. Steinbiss, H.J. Ney, U. Essen, B.H. Tran, X.L. Aubert, C. Dugast, R. Kneser, H.G. Meier, M. Oerder, R. Haeb-Umbach, D. Geller, W. Hoellerbauer, H. Bartosik, Speech Communication (1995).

Improvements in beam search for 10000-word continuous-speech recognition
R. Haeb-Umbach, H. Ney, IEEE Transactions on Speech and Audio Processing (1994).

Progress in Large-Vocabulary, Continuous Speech Recognition
H. Ney, V. Steinbeiss, X.L. Aubert, R. Haeb-Umbach, in: Artifical Intelligence, Progress and Prospects of Speech Research and Technology, Munich, 1994.

An Overview of the Philips Research System for Large Vocabulary Continuous Speech Recognition
H. Ney, V. Steinbeiss, R. Haeb-Umbach, B.H. Tran, International Journal on Pattern Recognition and Artificial Intelligence (1994).

Continuous Mixture Densities and Linear Discriminant Analysis for Improved Context-Dependent Acoustic Models
X.L. Aubert, R. Haeb-Umbach, H. Ney, in: ICASSP, Minneapolis, 1993.

Design and use of speech recognition algorithms for a mobile radio telephone
S. Dobler, D. Geller, R. Haeb-Umbach, P. Meyer, H. Ney, H.W. Ruehl, Speech Communication (1993).

Improvements in Connected Digit Recognition Using Linear Discriminant Analysis and Mixture Densities
R. Haeb-Umbach, D. Geller, H. Ney, in: ICASSP, Minneapolis, 1993.

The Philips Research System for Large-Vocabulary Continuous-Speech Recognition
V. Steinbiss, H. Ney, R. Haeb-Umbach, B.-H. Train, U. Essen, R. Kneser, M. Oerder, H.G. Meier, X. Aubert, C. Dugast, D. Geller, W. Hoellerbauer, H. Bartosik, in: EUROSPEECH, Berlin, 1993.

The Philips Research System for Continuous-Speech Recognition: Overview and Evaluation on the DRAPA RM Task
X.L. Aubert, H. Ney, R. Haeb-Umbach, in: DRAPA Speech Workshop, 1992.

Improvements in Speech Recognition for Voice Dialling in the Car Environment
D. Geller, R. Haeb-Umbach, H. Ney, in: ESCA Workshop on Speech Recognition in Adverse Conditions, Cannes-Mandelieu, 1992.

A modified trellis coding technique for partial response channels
R. Haeb-Umbach, IEEE Transactions on Communications (1992).

Trellis codes for partial-response magnetooptical direct overwrite recording
R. Haeb-Umbach, R. Lynch, IEEE Journal on Selected Areas in Communications (1992).