Automatic generation of a pronunciation dictionary based on a pronunciation network
Toshiaki Fukada, Yoshinori Sagisaka · 1997
In this paper, we propose a method for automatically generating a pronunciation dictionary based on a pronunciation neural network that can predict plausible pronunciations (alternative pronunciations) from the canonical pronunciation. This method can generate multiple forms of alternative pronunciations using the pronunciation network for words that only occur a few times in the database and even for unseen words. Experimental results on spontaneous speech show that the automatically-derived pronunciation dictionaries give consistently higher recognition rates and require less computational time for recognition than a conventional dictionary. 1. INTRODUCTION In spontaneous speech, word pronunciation varies more than in read speech, but in most spontaneous speech recognition systems, actual pronunciation variations are disregarded and only standard pronunciations in citation form (canonical pronunciations) are used. It has been confirmed that an appropriate pronunciation dictionary ...