Abstract

This paper describes the development of a large vocabulary speaker independent speech recognizer for the Dutch language. The recognizer was build using Hidden Markov Toolkit and the Polyphone database of recorded Dutch speech. A number of systems have been build ranging from a simple monophone recognizer to a sophisticated system that uses backed-off triphones. The system has been tested using audio from different acoustic environments to test its robustness. The design and the test results will be presented.