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    <abstract>This paper presents the main features (design issues, recording setup, etc.) of KALAKA-2, a TV broadcast speech database specifically designed for the development and evaluation of language recognition systems in clean and noisy environments. KALAKA-2 was created to support the Albayzin 2010 Language Recognition Evaluation (LRE), organized by the Spanish Network on Speech Technologies from June to November 2010. The database features 6 target languages: Basque, Catalan, English, Galician, Portuguese and Spanish, and includes segments in other (Out-Of-Set) languages, which allow to perform open-set verification tests. The best performance attained in the Albayzin 2010 LRE is presented and briefly discussed. The performance of a state-of-the-art system in various tasks defined on the database is also presented. In both cases, results highlight the suitability of KALAKA-2 as a benchmark for the development and evaluation of language recognition technology.</abstract>
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%0 Conference Proceedings
%T KALAKA-2: a TV Broadcast Speech Database for the Recognition of Iberian Languages in Clean and Noisy Environments
%A Rodríguez-Fuentes, Luis Javier
%A Penagarikano, Mikel
%A Varona, Amparo
%A Diez, Mireia
%A Bordel, Germán
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 may
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F rodriguez-fuentes-etal-2012-kalaka
%X This paper presents the main features (design issues, recording setup, etc.) of KALAKA-2, a TV broadcast speech database specifically designed for the development and evaluation of language recognition systems in clean and noisy environments. KALAKA-2 was created to support the Albayzin 2010 Language Recognition Evaluation (LRE), organized by the Spanish Network on Speech Technologies from June to November 2010. The database features 6 target languages: Basque, Catalan, English, Galician, Portuguese and Spanish, and includes segments in other (Out-Of-Set) languages, which allow to perform open-set verification tests. The best performance attained in the Albayzin 2010 LRE is presented and briefly discussed. The performance of a state-of-the-art system in various tasks defined on the database is also presented. In both cases, results highlight the suitability of KALAKA-2 as a benchmark for the development and evaluation of language recognition technology.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/486_Paper.pdf
%P 99-105

Markdown (Informal)

[KALAKA-2: a TV Broadcast Speech Database for the Recognition of Iberian Languages in Clean and Noisy Environments](http://www.lrec-conf.org/proceedings/lrec2012/pdf/486_Paper.pdf) (Rodríguez-Fuentes et al., LREC 2012)

• KALAKA-2: a TV Broadcast Speech Database for the Recognition of Iberian Languages in Clean and Noisy Environments (Rodríguez-Fuentes et al., LREC 2012)

ACL

• Luis Javier Rodríguez-Fuentes, Mikel Penagarikano, Amparo Varona, Mireia Diez, and Germán Bordel. 2012. KALAKA-2: a TV Broadcast Speech Database for the Recognition of Iberian Languages in Clean and Noisy Environments. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 99–105, Istanbul, Turkey. European Language Resources Association (ELRA).