Keywords

speech recognition, continuous speech recognizer, post-processing

Abstract

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.