A Baseline of a Speaker Independent Continuous Speech Recognizer of Italian

Bianca Angelini, Fabio Brugnara, Daniele Falavigna, Diego Giuliani, Roberto Gretter and Maurizio Omologo


Proceedings of EUROSPEECH 93, Berlin, Germany, 1993


Abstract

The objective of this paper is to describe some preliminary results of the activity that is being carried out in IRST laboratories for the development of an HMM-based speaker independent continuous speech recognition system for the Italian language.

The recognition system is being developed using the acoustic-phonetic continuous speech portion of APASCI database, also described in this paper. Performance is reported for different recognition tasks that were considered: without any phonetic constraint, the system provided a 72% Phone Accuracy; further, given a vocabulary size of 1019 words and no lexical constraints, a 73% Word Accuracy was achieved,