论文部分内容阅读
声学回波消除技术一直是语音通信领域的研究热点。在声学回波消除系统中,通过估计回波路径中的固定时延区域来提高自适应滤波算法的收敛速度。提出了一种基于小波变换的固定时延估计算法以及基于小波变换的声学回波消除系统,解决传统时延估计算法在声学回波消除系统中估计误差大、抗干扰能力弱的问题。测试结果表明,算法稳健性、有效性等指标明显优于传统时延估计算法,基于小波变换的声学回波消除系统具有良好的消回波性能。
Acoustic echo cancellation technology has been a hot topic in the field of voice communications. In acoustic echo cancellation systems, the convergence rate of the adaptive filtering algorithm is improved by estimating the fixed delay region in the echo path. A fixed time delay estimation algorithm based on wavelet transform and an acoustic echo cancellation system based on wavelet transform are proposed to solve the problem that the traditional time delay estimation algorithm has large estimation error and weak anti-interference ability in the acoustic echo cancellation system. The test results show that the robustness and validity of the proposed algorithm are significantly better than those of the traditional time delay estimation algorithm. The acoustic echo cancellation system based on wavelet transform has good echo cancellation performance.