Speech Estimation Biased by Phonemic Expectation in the Presence of Non-stationary and Unpredictable Noise

نویسندگان

  • Ikuyo Masuda-Katsuse
  • Yoshimori Sugano
چکیده

In this paper, we propose a new method for speech recognition in the presence of non-stationary and unpredictable noise by extending PreFEst [4]. The method does not need to know noise characteristics in advance and does not even estimate them in its process. A small set of pre-evaluations demonstrates the feasibility of the method by demonstrating good performance with a signal-to-noise ratio of 10 dB.

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تاریخ انتشار 2001