5th International Conference on Spoken Language Processing
We propose a method for automatically generating a pronunciation dictionary based on a pronunciation neural network that can predict plausible pronunciations (realized pronunciations) from canonical pronunciations. This method can generate multiple forms of realized pronunciations using the pronunciation network. Experimental results on spontaneous speech show that the automatically-derived pronunciation dictionary gives consistently higher recognition rates than a conventional dictionary.
Bibliographic reference. Fukada, Toshiaki / Yoshimura, Takayoshi / Sagisaka, Yoshinori (1998): "Neural network based pronunciation modeling with applications to speech recognition", In ICSLP-1998, paper 0658.