NDLI: Multi-site heterogeneous system fusions for the Albayzin 2010 Language Recognition Evaluation

Content Provider	IEEE Xplore Digital Library
Author	Rodriguez-Fuentes, L.J. Penagarikano, M. Varona, A. Diez, M. Bordel, G. Martinez, D. Villalba, J. Miguel, A. Ortega, A. Lleida, E. Abad, A. Koller, O. Trancoso, I. Lopez-Otero, P. Docio-Fernandez, L. Garcia-Mateo, C. Saeidi, R. Soufifar, M. Kinnunen, T. Svendsen, T. Franti, P.
Copyright Year	2011
Description	Author affiliation: L2F - Spoken Language Systems Lab, INESC-ID Lisboa, Portugal (Abad, A.; Koller, O.; Trancoso, I.) \|\| ViVoLab, Aragon Institute for Engineering Research (I3A), University of Zaragoza, Spain (Martinez, D.; Villalba, J.; Miguel, A.; Ortega, A.; Lleida, E.) \|\| School of Computing, University of Eastern Finland (UEF), Joensuu, Finland (Saeidi, R.; Kinnunen, T.; Franti, P.) \|\| Department of Electronics and Telecommunications, NTNU, Trondheim, Norway (Soufifar, M.; Svendsen, T.) \|\| GTTS, Department of Electricity and Electronics, University of the Basque Country, Spain (Rodriguez-Fuentes, L.J.; Penagarikano, M.; Varona, A.; Diez, M.; Bordel, G.) \|\| GTM, Department of Signal Theory and Communications, Universidade de Vigo, Spain (Lopez-Otero, P.; Docio-Fernandez, L.; Garcia-Mateo, C.)
Abstract	Best language recognition performance is commonly obtained by fusing the scores of several heterogeneous systems. Regardless the fusion approach, it is assumed that different systems may contribute complementary information, either because they are developed on different datasets, or because they use different features or different modeling approaches. Most authors apply fusion as a final resource for improving performance based on an existing set of systems. Though relative performance gains decrease as larger sets of systems are considered, best performance is usually attained by fusing all the available systems, which may lead to high computational costs. In this paper, we aim to discover which technologies combine the best through fusion and to analyse the factors (data, features, modeling methodologies, etc.) that may explain such a good performance. Results are presented and discussed for a number of systems provided by the participating sites and the organizing team of the Albayzin 2010 Language Recognition Evaluation. We hope the conclusions of this work help research groups make better decisions in developing language recognition technology.
Starting Page	377
Ending Page	382
File Size	122761
Page Count	6
File Format	PDF
ISBN	9781467303651
e-ISBN	9781467303675
e-ISBN	9781467303668
DOI	10.1109/ASRU.2011.6163961
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Acoustics Hidden Markov models Educational institutions Noise measurement Data models Calibration
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in