Third European Conference on Speech Communication and Technology

Berlin, Germany
September 22-25, 1993


The Philips Research System for Large-Vocabulary Continuous-Speech Recognition

Volker Steinbiss (1), Hermann Ney (1), Reinhold Haeb-Umbach (1), B.-H. Iran (1), U. Essen (1), Reinhard Kneser (1), M. Oerder (1), H.-G. Meier (1), X. Aubert (1), Christian Dugast (1), D. Geller (1), W. Hollerbauer (2), H. Bartosik (2)

(1) Philips GmbH, Forschungslaboratorien, Aachen, Germany
(2) Philips Dictation Systems, Wien, Austria

This paper gives a status report of the Philips research system for phoneme-based, large-vocabulary, continuous-speech recognition. Like for many other systems, the recognition architecture is based on an integrated statistical approach. We describe the characteristic features of the system as opposed to other systems: 1. The Viterbi criterion is consistently applied both in training and testing. 2. Continuous mixture densities are used without tying or smoothing. 3. Time-synchronous beam search in connection with a phoneme look-ahead is applied to a tree-organized lexicon. The system has been successfully applied to the American English DARPA RM task. Here, we report experimental results for a German 13 000-word Philips internal dictation task. In addition to the scientific prototype, a PC version has been set up which is described here for the first time.

Keywords: Continuous speech recognition, large vocabulary recognition

Full Paper

Bibliographic reference.  Steinbiss, Volker / Ney, Hermann / Haeb-Umbach, Reinhold / Iran, B.-H. / Essen, U. / Kneser, Reinhard / Oerder, M. / Meier, H.-G. / Aubert, X. / Dugast, Christian / Geller, D. / Hollerbauer, W. / Bartosik, H. (1993): "The Philips research system for large-vocabulary continuous-speech recognition", In EUROSPEECH'93, 2125-2128.