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ETRI journal v.27 no.4, 2005년, pp.461 - 464  

Utterance Verification Using Search Confusion Rate and Its N-Best Approach

Kim, Kyu-Hong   (School of Engineering, Information and Communications UniversityUU0015993  ); Kim, Hoi-Rin   (School of Engineering, Information and Communications UniversityUU0015993  ); Hahn, Min-Soo   (School of Engineering, Information and Communications UniversityUU0015993  );
  • 초록

    Recently, a variety of confidence measures for utterance verification has been studied to improve speech recognition performance by rejecting out-of-vocabulary inputs. Most of the conventional confidence measures for utterance verification are based primarily on hypothesis testing or an approximated posterior probability, and their performances depend on the robustness of an alternative hypothesis or the prior probability. We introduce a novel confidence measure called a search confusion rate (SCR), which does not require an alternative hypothesis or the approximation of posterior probability. Our confusion-based approach shows better performance in additive noise-corrupted speech as well as in clean speech.


  • 주제어

    Utterance verification .   confidence measure .   out-of-vocabulary rejection.  

  • 참고문헌 (5)

    1. Speech Recognition and Utterance Verification Based on a Generalized Confidence Score , Koo, M.W.;Lee, C.H.;Juang, B.H. , IEEE Trans. Speech and Audio Proc. / v.9,pp.821-832,
    2. Vocabulary Independent Discriminative Utterance Verification for Nonkeyword Rejection in Subword Based Speech Recognition , Sukkar, R.;Lee, C.H. , IEEE Trans. Speech and Audio Proc. / v.4,pp.420-429,
    3. The AURORA Experimental Framework for the Performance Evaluations of Speech Recognition Evaluations of Speech Recognition Systems under Noisy Conditions , Hirsch, H.G.;Pearce, D. , ISCA ITRW Automatic Speech Recognition:Challenges for the Next Millenniun / v.,pp.18-20,
    4. Word and Phone Level Acoustic Confidence Scoring , Kamppari, S.;Hazen, T. , Proc. ICASSP / v.,pp.1799-1820,
    5. Filtering of Filter-Bank Energies for Robust Speech Recognition , Jeong, H.Y. , ETRI J. / v.26,pp.273-276,

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