Connectionist Speech Recognition: Status and Prospects

TitleConnectionist Speech Recognition: Status and Prospects
Publication TypeTechnical Report
Year of Publication1991
AuthorsRenals, S., Morgan N., Bourlard H., Cohen M., Franco H., Wooters C., & Kohn P.
Other Numbers700

We report on recent advances in the ICSI connectionist speech recognition project. Highlights include:1. Experimental results showing that connectionist methods can improve the performance of a context independent maximum likelihood trained HMM system, resulting in a performance close to that achieved using state of the art context dependent HMM systems of much higher complexity;2. Mixing (context independent) connectionist probability estimates with maximum likelihood trained context dependent models to improve the performance of a state of the art system;3. The development of a network decomposition method that allows connectionist modeling of context dependent phones efficiently and parsimoniously, with no statistical independence assumptions.

Bibliographic Notes

ICSI Technical Report TR-91-070

Abbreviated Authors

S. Renals, N. Morgan, H. Bourlard, M. Cohen, H. Franco, C. Wooters, and P. Kohn

ICSI Publication Type

Technical Report