Spoken term detection for Turkish Broadcast News

@article{Parlak2008SpokenTD,
  title={Spoken term detection for Turkish Broadcast News},
  author={Siddika Parlak and Murat Saraclar},
  journal={2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2008},
  pages={5244-5247}
}
In this paper, we present a baseline spoken term detection (STD) system for Turkish broadcast news. The agglutinative structure of Turkish causes a high out-of-vocabulary (OOV) rate and increases word error rate (WER) in automatic speech recognition. Several approaches are attempted to reduce this negative effect on the STD system. Sub-word units are used to handle the OOV queries and lattice-based indexing is used to obtain different operating points and handle high WER cases. A recently… CONTINUE READING
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