Improved Adaptive β-Order MMSE Speech Enhancement

نویسندگان

  • Chang Huai You
  • Soo Ngee Koh
  • Haizhou Li
  • Susanto Rahardja
چکیده

This paper considers a single channel speech enhancement algorithm, which is based on our previous work on βorder minimum mean square error (MMSE) spectral estimation. We propose to make β a function of both local and frame signal-to-noise ratios (SNRs) in order to achieve more effective preservation of weak speech components. Moreover, by taking into account the speech-presence uncertainty in the adaptive βorder MMSE algorithm, we achieve a significant noise reduction and an improved spectral estimation of weak speech components. Experiments also show that the proposed estimator outperforms other well known speech enhancement algorithms.

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تاریخ انتشار 2011