Phase II year
1993 (last award $$: 1993)
The aim of this work is to develope a speaker-independent small-vocabulary continuous speech recognizer using computationally efficient algorithms that is robust to a range of types of back-ground noise and to voice changes induced by stress and noise. Only single-sensor methods will be considered in this work. The performance of current Dragon technology will form an initial benchmark against which performance can be measured. Sub-word and whole-word modeling will be considered, as well as possible combinations of the two. A variety of established and novel techniques for coping with noise and voice changes will be explored. When simulation experiments have permitted a suitable set of techniques and parameter values to be determined, they will be implemented in a real-time demonstrator. Anticipated Benefits:
The technology to be developed here should increase the feasbility of using speech recognition in a variety of militarily and commercially important environments including aricraft, factories, tanks and road vehicels. Continuous speech recognition makes for faster input; and speaker-independence allows delay-free switching between users. Much of what is learned shoudl be transferable to large-vocabulary systems. Keywords:
Noise-Robust Continuous Speech Recognition Speaker-Independent Small Vocabulary Real-Time ...