@inproceedings{11904, abstract = {{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.}}, author = {{Steinbiss, Volker and Ney, Hermann and Haeb-Umbach, Reinhold and Train, B.-H. and Essen, U. and Kneser, Reinhard and Oerder, Martin and Meier, H. G. and Aubert, X. and Dugast, Christian and Geller, Dieter and Hoellerbauer, W. and Bartosik, H.}}, booktitle = {{EUROSPEECH, Berlin}}, title = {{{The Philips Research System for Large-Vocabulary Continuous-Speech Recognition}}}, year = {{1993}}, }