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Adaptive Acoustic Echo Cancellation Method Based on Frequency Domain Kalman Filtering

An echo cancellation and self-adaptive technology, which is applied in speech analysis, instruments, etc., can solve the problems of high computational complexity of the frequency-domain Kalman filter algorithm and the inability of the frequency-domain Kalman filter algorithm to converge to the optimal solution, etc., to achieve good Echo cancellation effect, algorithm performance improvement, performance improvement effect

Active Publication Date: 2022-07-12
NANJING UNIV
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Problems solved by technology

However, the computational complexity of the standard form of the frequency-domain Kalman filter algorithm is relatively high
In addition, under the same condition that the filter order is insufficient or the system does not satisfy the causality, the frequency domain Kalman filtering algorithm cannot guarantee to converge to the optimal solution

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  • Adaptive Acoustic Echo Cancellation Method Based on Frequency Domain Kalman Filtering
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  • Adaptive Acoustic Echo Cancellation Method Based on Frequency Domain Kalman Filtering

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Embodiment Construction

[0027] In order to improve the effect of echo cancellation, the present invention analyzes the structure of the frequency domain Kalman filtering algorithm, and improves the algorithm structure according to the analysis, and the specific process is as follows:

[0028] 1. Kalman filter based on frequency domain in acoustic echo cancellation model

[0029] If the signal of the near-end microphone at the n-th sampling point in the time domain is d(n), define the microphone signal vector d(k) in the time domain, which can be expressed as

[0030] d(k)=[d(kN-N+1),d(kN-N+2),...,d(kN)] T (1)

[0031] In the formula, ( ) T Represents the transpose, N represents the filter length, and k represents the sequence number of the frame. Then the microphone signal can be expressed as the sum of the echo signal and the background noise, namely

[0032] d(k)=y(k)+s(k) (2)

[0033] y(k) and s(k) represent the echo signal and the background noise, respectively, where the background noise i...

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Abstract

The invention discloses an adaptive acoustic echo cancellation method based on frequency domain Kalman filtering. The specific steps are as follows: (1) collect and buffer the near-end microphone signal and the reference signal, and then convert the analog signal into a digital signal through analog-to-digital conversion; (2) after the discrete Fourier transform of the digital signal, calculate the estimated echo (3) Iterate according to the iterative formula of the frequency domain Kalman filter, and calculate the filter coefficients of the next frame according to the improved formula; (4) Perform inverse discrete Fourier transform on the estimation of the echo signal in the frequency domain, The time-domain echo signal estimation is obtained, and the time-domain echo signal estimation is subtracted from the near-end microphone signal to obtain the signal after the acoustic echo cancellation processing. The method of the invention can also converge to the optimal solution under the condition that the adaptive filter order is insufficient or the system does not satisfy the causality, and has better echo cancellation effect.

Description

technical field [0001] The invention relates to an adaptive acoustic echo cancellation method based on frequency domain Kalman filtering, and belongs to the technical field of speech enhancement. Background technique [0002] Acoustic echo is a common problem that plagues communication systems. It reduces the intelligibility of speech and interferes with the communication between the two parties. Acoustic echo cancellation aims to use the reference signal to synthesize the echo, and use the synthetic signal to remove or reduce the adverse effects of the acoustic echo. [0003] The acoustic echo cancellation method based on the LMS algorithm is the most commonly used method (Sondhi M M. An Adaptive Echo Canceller [J]. Bell Labs Technical Journal, 1967, 46(3): 497-511.). However, the acoustic echo cancellation method based on the LMS algorithm has high computational complexity, and the algorithm has a slow convergence speed when the reference signal is a colored signal. [0...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L21/0208
CPCG10L21/0208G10L2021/02082
Inventor 范文之卢晶
Owner NANJING UNIV
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