INTERSPEECH 2004 - ICSLP 8th International Conference on Spoken Language Processing Jeju Island, Korea October 4-8, 2004

Using RASTA in Task Independent TANDEM Feature Extraction

Guillermo Aradilla, John Dines, Sunil Sivadas

IDIAP, Switzerland

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.

Full Paper

Bibliographic reference.  Aradilla, Guillermo / Dines, John / Sivadas, Sunil (2004): "Using RASTA in task independent TANDEM feature extraction", In INTERSPEECH-2004, 2117-2120.