%Aigaion2 BibTeX export from Idiap Publications %Friday 13 December 2024 05:14:26 PM @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}, }