%Aigaion2 BibTeX export from Idiap Publications
%Friday 05 December 2025 02:26:25 AM

@INPROCEEDINGS{aradilla-rr-04-22b,
                      author = {Aradilla, Guillermo and Dines, John and Sivadas, Sunil},
                    projects = {Idiap},
                       title = {Using RASTA in task independent TANDEM feature extraction},
                   booktitle = {Proceedings of ICSLP, 2004},
                      number = {22},
                        year = {2004},
                 institution = {IDIAP},
                     address = {Martigny, Switzerland},
                        note = {IDIAP-RR 04-22},
                    crossref = {aradilla-rr-04-22},
                    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.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2004/rr04-22.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2004/rr04-22.ps.gz},
ipdinar={2004},
ipdmembership={speech},
language={English},
}



crossreferenced publications: 
@TECHREPORT{aradilla-rr-04-22,
                      author = {Aradilla, Guillermo and Dines, John and Sivadas, Sunil},
                    projects = {Idiap},
                       title = {Using RASTA in task independent TANDEM feature extraction},
                        type = {Idiap-RR},
                      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.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2004/rr04-22.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2004/rr04-22.ps.gz},
ipdinar={2004},
ipdmembership={speech},
language={English},
}