Title :
Speech Recognition for Turkish Broadcast News
Author :
Arisoy, Ebru ; Saraçlar, Murat
Author_Institution :
Elektrik Elektronik Miihendisligi Boliimu, Bogazici Univ., Istanbul, Turkey
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;
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
DOI :
10.1109/SIU.2007.4298741
