Using RASTA in task independent TANDEM feature extraction

In this work, we investigate the use of RASTA filter in the TANDEM feature extraction method when trained with a task independent data. RASTA filter removes the linear distortion introduced by the communication channel which is demonstrated in a 18\% relative improvement on the Numbers 95 task. Also, studies yielded a relative improvement of 35\% over the basic PLP features by combining TANDEM features and conventional PLP features.


Published in:
Proceedings of ICSLP, 2004, 22
Presented at:
Proceedings of ICSLP, 2004
Year:
2004
Publisher:
Martigny, Switzerland
Keywords:
Note:
IDIAP-RR 04-22
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

n/a:
Download fulltextPDF
External links:
Download fulltextURL
Download fulltextRelated documents
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)