Design and implementation of auto attendant system for the T. U. C. campus using speech recognition

摘要

We present an auto-attendant system, which is based on a statistical speech recognizer and has been developed for the Technical University of Crete (TUC) Campus. Auto-attendants allow remote callers to reach a person or department by simply speaking an appropriate name. This is the first speech recognition system in Greece operating in continuous speech and speaker-independent modes, and we describe our approaches for solving several special phenomena specific to the Greek language. The high recognition accuracy of the engine supports several hundreds of names. Evaluation on our database yielded more than 97.5% name retrieval for a dictionary of 350 names of persons and services.