Method for identifying speaker based on distributed structure
A technology of speaker confirmation and distributed structure, applied in the field of speaker confirmation, can solve problems such as unsatisfactory
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[0013] The present invention will be further introduced below in conjunction with accompanying drawing and embodiment: the method of the present invention is divided into six steps altogether.
[0014] The first step: system front-end feature extraction
[0015] Feature extraction is divided into four parts: noise reduction, waveform processing, spectrum calculation, and blind equalization.
[0016] 1. Noise reduction processing
[0017] The noise reduction module performs second-order noise reduction processing on the input signal on a frame-by-frame basis. The output signal of the first stage is used as the input signal of the second stage.
[0018] a) utilize spectrum estimation module to carry out linear spectrum estimation for input speech frame;
[0019] b) Using the power spectral density mean module to smooth the signal according to the time sequence;
[0020] c) calculating the frequency-domain Wiener filter coefficients by using the spectrum estimation of the cur...
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