DocumentCode
3355874
Title
Speech Recognition for Turkish Broadcast News
Author
Arisoy, Ebru ; Saraçlar, Murat
Author_Institution
Elektrik Elektronik Miihendisligi Boliimu, Bogazici Univ., Istanbul, Turkey
fYear
2007
fDate
11-13 June 2007
Firstpage
1
Lastpage
4
Abstract
The aim of this study is to develop a speech recognition system for Turkish broadcast news. The state-of-the-art speech recognition systems utilize statistical models. A large amount of data is required to reliably estimate these models. For this study, a large Turkish Broadcast News database, consisting of the speech signal and corresponding transcriptions, is being collected. In this paper, information about this database and experiments performed using the system developed on the collected data are presented. In addition to the baseline system, various adaptation schemes and subword language models were tried. Currently, our best systems has lower than 20% error on clean speech.
Keywords
audio databases; speech recognition; statistical analysis; Turkish Broadcast News; speech recognition system; speech signal; statistical models; subword language models; Broadcasting; Cellular neural networks; Databases; Speech recognition; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location
Eskisehir
Print_ISBN
1-4244-0719-2
Electronic_ISBN
1-4244-0720-6
Type
conf
DOI
10.1109/SIU.2007.4298741
Filename
4298741
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