| 摘要 |
The speech signal is divided into spectral component and estimated noise signals subtracted to provide noise-reduced output. The procedure comprises a spectral subtraction including a first subtraction stage in which note is taken of increased estimations (Bn,i) of spectral noise components. This allows production of spectral component (S2n,f) of a first noise-reduced signal. The process further includes the calculation of a masking curve (Mn,q) by applying an auditory perception model w.r.t. the spectral components of the first noise-reduced signal. A second subtraction stage starts with each spectral component of the speech signal in the frame. From each is subtracted a quantity which is dependent on parameters including a difference between the increased estimation of the spectral component corresponding to the noise and the calculated masking curve. The result of this is subject to a transformation into the time domain in order to construct a noise reduced speech signal.
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