A novel voting scheme for ROVER using automatic error detection

Authors:
Kacem Abida;Fakhri Karray;Wafa Abida
Affiliations:
Electrical and Computer Engineering Department, University of Waterloo, Waterloo, Ontario, Canada;Electrical and Computer Engineering Department, University of Waterloo, Waterloo, Ontario, Canada;Voice Enabling Systems Technology, Waterloo, Ontario, Canada
Venue:
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
Year:
2012

Citing 2
Cited 0

Semantic similarity for detecting recognition errors in automatic speech transcripts

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Combination of error detection techniques in automatic speech transcription

AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recognizer Output Voting Error Reduction (ROVER), is a well-known procedure for decoders' output combination aiming at reducing the Word Error Rate (WER) in large vocabulary transcriptions. This paper presents a novel voting scheme to boost the current ROVER's performance. A contextual analysis is carried out to compute robust confidence scores, which are used during the voting stage. The confidence scores are collected from several automatic error detectors. Experiments have proven that it is possible to outperform the ROVER voting schemes.