Research on Adaptive Acoustic Echo Cancellation Algorithm in Digital Hearing Aids

摘要

At present, the study of acoustic echo cancellation (AEC) is mainly based on the adaptive acoustic echo cancellation algorithm. It is proved that the echo signal of the near-end microphone must be compensated by the time delay to achieve the purpose of echo cancellation, and the accuracy of the delay estimation affecting the final effect of echo cancellation. This paper proposes a combination of the normalized minimum mean square algorithm (NLMS) and the time delay estimation model to solve the echo problem in hearing aids. In this paper, using generalized cross correlation (GCC) to estimate time delay. In addition, using the energy, Teager-Kaiser Energy Operator (TKEO) and the signal correlation coefficient as the threshold value to detect the howling signal in digital hearing aids. Finally, the simulation and experimental results are given. The experiment proves that the method has good effect.