12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

ROVER Enhancement with Automatic Error Detection

Kacem Abida, Fakhri Karray

University of Waterloo, Canada

In this paper, an approach is presented to improve the existing performance of the Recognizer Output Voting Error Reduction (ROVER) procedure used for speech decoders' combination in automatic speech transcription. A contextual analysis is injected within the ROVER process to detect and eliminate erroneous words. This filtering is carried out through the combination of automatic error detection techniques. Experiments showed it is possible to outperform the ROVER baseline, and that combining it with error detection methods leads to an even lower Word Error Rate (WER) in the final ROVER composite output.

Full Paper

Bibliographic reference.  Abida, Kacem / Karray, Fakhri (2011): "ROVER enhancement with automatic error detection", In INTERSPEECH-2011, 2885-2888.