Using RASTA in task independent TANDEM feature extraction
| Type of publication: | Idiap-RR |
| Citation: | aradilla-rr-04-22 |
| Number: | Idiap-RR-22-2004 |
| Year: | 2004 |
| Institution: | IDIAP |
| Address: | Martigny, Switzerland |
| Abstract: | 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. |
| Userfields: | ipdinar={2004}, ipdmembership={speech}, language={English}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Crossref by |
aradilla-rr-04-22b |
| Added by: | [UNK] |
| Total mark: | 0 |
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