Paper: Processing Self Corrections In A Speech To Speech System

ACL ID C00-2169
Title Processing Self Corrections In A Speech To Speech System
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

Speech repairs occur often in spontaneous spo- ken dialogues. The ability to detect and cor- rect those repairs is necessary for any spoken language system. We present a framework to detect and correct speech repairs where all tel- evant levels of information, i.e., acoustics, lexis, syntax and semantics can be integrated. The basic idea is to reduce the search space for re- pairs as soon as possible by cascading filters that involve more and more features. At first an acoustic module generates hypotheses about the existence of a repair. Second a stochastic model suggests a correction for every hypothesis. Well scored corrections are inserted as new paths in the word lattice. Finally a lattice parser decides on accepting the repair.