Method for realizing noise reduction processing on speech signal by using digital noise reduction algorithm
A technology for voice signal and noise reduction processing, applied in voice analysis, instruments, etc., can solve the problem that the processing effect of noisy voice is not obvious, and achieve the effect of obvious noise reduction effect.
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[0038] Step A Subspace method processing (time-domain constraints), each frame of speech is processed in the following six steps:
[0039] 1) Calculate the covariance R of the noise signal n , use the formula (1) to estimate the matrix , R n It is estimated by independently sampling speech in each frame;
[0040] 2 pairs Perform an eigenvalue decomposition: ; The left and right expressions are respectively the eigenvalue matrix and eigenvector matrix of the estimated matrix;
[0041] 3) Hypothesis The eigenvalues of are arranged in descending order, and the space size of the speech signal subspace is estimated by the following formula:
[0042]
[0043] 4) Calculate the μ value by formula (3);
[0044] 5) The linear estimated value is calculated by the following formula:
[0045]
[0046]
[0047]
[0048] 6) pass To estimate the enhanced speech signal, signal estimation = optimal solution * noisy speech signal.
[0049] LMS algorithm enhancement...
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