Performance Analysis and Improvement of Turkish Broadcast News Retrieval

@article{Parlak2012PerformanceAA,
  title={Performance Analysis and Improvement of Turkish Broadcast News Retrieval},
  author={Siddika Parlak and Murat Saraclar},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2012},
  volume={20},
  pages={731-741}
}
This paper presents our work on the retrieval of spoken information in Turkish. Traditional speech retrieval systems perform indexing and retrieval over automatic speech recognition (ASR) transcripts, which include errors either because of out-of-vocabulary (OOV) words or ASR inaccuracy. We use subword units as recognition and indexing units to reduce the OOV rate and index alternative recognition hypotheses to handle ASR errors. Performance of such methods is evaluated on our Turkish Broadcast… CONTINUE READING
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