Abstract
This paper presents a procedure of acquiring linguistic data from the broadcast media and its use in language recognition. The goal of this work is to answer the question whether the automatically obtained data from broadcasts can replace or augment to the continuous telephone speech. The main challenges are channel compensation issues and great portion of unspontaneous speech in broadcasts. The experimental results are obtained on NIST LRE 2007 evaluation system, using both NIST provided training data and data, obtained from broadcasts.
This work was partly supported by European projects AMIDA (FP6-033812), Caretaker (FP6-027231) and MOBIO (FP7-214324), by Grant Agency of Czech Republic under project No. 102/08/0707 and by Czech Ministry of Education under project No. MSM0021630528. The hardware used in this work was partially provided by CESNET under project No. 162/2005. Lukáš Burget was supported by Grant Agency of Czech Republic under project No. GP102/06/383.
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Plchot, O., Hubeika, V., Burget, L., Schwarz, P., Matějka, P. (2008). Acquisition of Telephone Data from Radio Broadcasts with Applications to Language Recognition. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2008. Lecture Notes in Computer Science(), vol 5246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87391-4_61
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DOI: https://doi.org/10.1007/978-3-540-87391-4_61
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