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CROVER: IMPROVING ROVER USING AUTOMATIC ERROR DETECTION

Industrial Technology for Speech Processing Applications

Full Paper at IEEE Xplore

Presented by: Kacem Abida, Author(s): Kacem Abida, Fakhri Karray, University of Waterloo, Canada; Wafa Abida, Vestec, Canada

Recognizer Output Voting Error Reduction (ROVER), is a well-known procedure for decoders’ combination aiming at reducing the Word Error Rate (WER) in transcription applications. However, it appears that this technique has reached a plateau in terms of performance. This paper presents a novel approach, cROVER, to boosting the current ROVER performance, by relying on a contextual analysis to trim erroneous words. Experiments have proven that it is possible to outperform ROVER, despite the high false positive rate of the error detection technique.


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  Lecture Information

Recorded: 2011-05-26 10:50 - 11:10, Club H
Added: 9. 6. 2011 23:34
Number of views: 16
Video resolution: 1024x576 px, 512x288 px
Video length: 0:16:35
Audio track: MP3 [5.66 MB], 0:16:35