Single-channel speech enhancement algorithm based on compensation phase spectrum

A technology of phase compensation and voice enhancement, applied in voice analysis, instruments, etc., to achieve the effect of being effective in noise environments, wide in noise environments, and favorable in denoising effects

Pending Publication Date: 2020-08-07
JIANGSU UNIV OF SCI & TECH
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Problems solved by technology

[0024] The technical problem to be solved by the present invention is to provide a single-channel speech enhancement algorithm based on the compensation phase spectrum, and it has been verified that the improved compensation factor is effective, not only for the steady-state noise, but also for the denoi

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  • Single-channel speech enhancement algorithm based on compensation phase spectrum
  • Single-channel speech enhancement algorithm based on compensation phase spectrum
  • Single-channel speech enhancement algorithm based on compensation phase spectrum

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Embodiment Construction

[0063] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0064] The present invention first uses the ERB scale to divide the frequency bands of the noisy speech complex spectrum through Fourier transform, and independently performs the power spectrum subtraction in the respective frequency bands to obtain the speech signal after the initial enhancement, and then the speech signal after the initial enhancement The improved compensation phase spectrum is carried out, and the present invention will be introduced in detail next.

[0065] The present invention provides a process such as figure 1 The shown single-channel speech enhancement algorithm based on the compensated phase spectrum includes the following steps:

[0066] Step 1, preprocessing the noisy speech signal x(n), and adding a window into frames;

[...

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Abstract

The invention provides a single-channel speech enhancement algorithm based on a compensation phase spectrum. The single-channel speech enhancement algorithm comprises the following steps: preprocessing a noisy speech signal, and framing and windowing the noisy speech signal; carrying out fourier transform; dividing a critical frequency band by using an ERB scale; calculating the value of the segmented signal-to-noise ratio; calculating a new compensation factor, and obtaining a primarily enhanced voice complex frequency spectrum through power spectrum subtraction; performing additive calculation on the phase spectrum compensation function and the primarily enhanced voice complex frequency spectrum to obtain a compensated complex frequency spectrum; solving a phase angle of the compensatedcomplex frequency spectrum to obtain a compensated phase spectrum; and overlapping and adding the speech amplitude spectrum after basic spectrum subtraction and the compensation phase spectrum obtained in the seventh step, and then carrying out inverse Fourier transform to obtain an enhanced speech signal. The invention verifies that the improved compensation factor not only has an effect on steady-state noise, but also is more beneficial to the denoising effect of unsteady-state noise, and the speech enhancement algorithm provided by the invention is relatively wide and effective in applicable noise environment.

Description

technical field [0001] The invention relates to the field of speech enhancement algorithms, in particular to a single-channel speech enhancement algorithm based on compensation phase spectrum. Background technique [0002] In the traditional phase spectrum compensation speech enhancement algorithm, assuming that the pure speech s(t) is polluted by the stationary additive Gaussian noise d(t), and the two are independent of each other, the time domain expression of the noisy speech x(t) is: [0003] x(t)=s(t)+d(t) (1); [0004] The expression in the frequency domain obtained by short-time Fourier transform of formula (1) is: [0005] [0006] Among them, n is the number of frames, N represents the length of the discrete Fourier transform, k represents the number of frequency bands, and w(n) is the window function; j is the mathematical symbol in the definition of Fourier transform, which generally does not need to be explained. [0007] In order to facilitate the represen...

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Application Information

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IPC IPC(8): G10L21/0208G10L21/0216G10L21/0324
CPCG10L21/0208G10L21/0324G10L21/0216
Inventor 张晓如许清臣张再跃
Owner JIANGSU UNIV OF SCI & TECH
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