Title :
Design and implementation of auto-attendant system for the TUC campus using speech recognition
Author :
Koumpis, K. ; Digalakis, V. ; Murveit, H.
Author_Institution :
Tech. Univ. of Crete, Chania, Greece
Abstract :
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
Keywords :
automatic telephone systems; natural languages; speech recognition; Greece; Greek language; TUC campus; Technical University of Crete; auto-attendant system; continuous speech recognition; database evaluation; dictionary; high recognition accuracy; name retrieval; persons; services; speaker-independent recognition; speech recognition system; statistical speech recognizer; telephone system; Engines; Hidden Markov models; Humans; Natural languages; Noise robustness; Power system modeling; Signal to noise ratio; Speech recognition; Telephony; Training data;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.675397
