SuperLectures.com

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.

  Speech Transcript

|

  Slides

Enlarge the slide | Show all slides in a pop-up window

0:00:16

  1. slide

0:01:02

  2. slide

0:01:48

  3. slide

0:02:28

  4. slide

0:02:54

  5. slide

0:03:37

  6. slide

0:04:05

  7. slide

0:04:11

  8. slide

0:05:12

  9. slide

0:06:05

 10. slide

0:06:48

 11. slide

0:07:35

 12. slide

0:08:16

 13. slide

0:08:35

 14. slide

0:09:17

 15. slide

0:09:49

 16. slide

0:10:35

 17. slide

0:10:53

 18. slide

0:11:57

 19. slide

0:12:36

 20. slide

0:14:13

 21. slide

  Comments

Please sign in to post your comment!

  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