speech recognition, continuous speech recognizer, post-processing
This paper presents a new technique for overcoming several types of speech recognition errors by post-processing the output of a continuous speech recognizer. The post-processor output contains fewer errors, thereby making interpretation by higher-level modules, such as a parser, in a speech understanding system more reliable. The primary advantage to the post-processing approach over existing approaches for overcoming SR errors lies in its abilityto introduce options that are not available in the SR module’s output. This work provides evidence for the claim that a modern continuous speech recognizer can be used successfully in “black-box” fashion for robustly interpreting spontaneous utterances in a dialogue with a human.
Original Publication Citation
Eric K. Ringger and James F. Allen. May 1996. "Error Correction via a Post-Processor for Continuous Speech Recognition." Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'96). Atlanta, GA.
BYU ScholarsArchive Citation
Ringger, Eric K. and Allen, James F., "Error Correction Via a Post-Processor for Continuous Speech Recognition" (1996). Faculty Publications. 679.
Physical and Mathematical Sciences
© 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information