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.
- URL: http://publications.idiap.ch/downloads/reports/2004/rr04-22.pdf
- Related documents: http://publications.idiap.ch/index.php/publications/showcite/aradilla-rr-04-22
Record created on 2006-03-10, modified on 2016-08-08