Abstract
This paper is to the blind signal separation algorithm applied to acoustic echo cancellation. This algorithm doesn’t degrade the performance of echo cancellation even in the double-talk. In the closed echo environment, the mixing model of acoustic signals has multi-channel, so the convolutive blind signal separation method is applied. And the mixing coefficients are computed by using the feedback model without directly calculating the separation coefficients. The coefficient updating is performed by iterative computations based on the second-order statistical properties, thus estimating the near-end speech. Many simulations have been performed to verify the performance of the proposed blind signal separation. Simulation results show that the proposed acoustic echo canceller operates safely regardless of double-talk, and the PESQ is improved by 0.6 point compared with the general adaptive FIR filter structure.
Highlights
In a speaker-phone system such as a hands-free system, an acoustic echo signal is received by a speaker from a speaker and reflected on a wall surface or the like to be coupled with a transmission signal of the speaker from the microphone
SIMULATION RESULTS In order to verify the separation performance of the convolutional blind signal separation method proposed in this paper, we developed a simulation program that expresses the operation of the system using Matlab on PC
The input uses the impulse response to the echo path and the far-end speaker signal that generates the echo signal and the own speech call that causes the double-talk
Summary
In a speaker-phone system such as a hands-free system, an acoustic echo signal is received by a speaker from a speaker and reflected on a wall surface or the like to be coupled with a transmission signal of the speaker from the microphone. In order to remove the echo signal, an acoustic echo canceller using an adaptive filter is used This circuit operates normally only in a one-way call in which only a far-end speaker signal is present, and has the ability to remove an echo signal in a simultaneous call interval in which a self- Sudden degradation occurs. This simultaneous call problem must be solved. There is a method of preventing the divergence of coefficients by detecting the simultaneous call state and stopping the coefficient update of the echo canceller. We use sound source separation technology that can solve these problems fundamentally
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