基于听觉掩蔽效应的自适应反馈抵消

摘要当系统输入信号是有色信号时，传统的自适应反馈抵消算法会由于系统的输出和输入信号存在相关性而造成辨识反馈路径存在偏差，从而导致反馈抵消性能的降低。为了减小反馈路径的辨识偏差，本文提出在系统输出信号中加入被掩蔽噪声来降低系统的输入信号和输出信号的相关性的方法，噪声的能量由频域掩蔽阈值控制。这种基于听觉频域掩蔽效应的自适应反馈抵消算法改善了自适应反馈抵消的性能，同时加入的噪声是被掩蔽不可听的，输出语音的质量没有受到损害。

Adaptive feedback cancellation based on masking properties of the human auditory system

In the case of the input signal being spectrally colored, the conventional adaptive feedback cancellation algorithm suffers from bias caused by the correlation between the output signal and the input signal. With the aim of reducing the misalignment in the feedback path estimate, an approach is proposed to reduce the correlation between the output signal and the input signal by adding inaudible noise limited by masking threshold to output signal. Simulation results verify that the method based on masking properties improves the performance of adaptive feedback cancellation without degrading the quality of speech.