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Development of high quality acoustic subband echo canceller using dual-filter structure and fast recursive least squares algorithm

机译:利用双滤波器结构和快速递归最小二乘算法开发高质量的子带回声消除器

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A high quality acoustic subband echo canceller is developed based on a dual-filter structure and the fast recursive least squares (FRLS) algorithm. Methods for overcoming the instability problem of the FRLS algorithm and implementing it using the 32-bit fixed-point arithmetic are presented. A new tap-weight transfer method, which assures double talk detection, is proposed. Computer simulations demonstrate that fast convergence and fast tracking are achieved in an acoustic subband echo canceller using 32 subbands and a total of 4000-tap FIR filter for a 250 ms echo path. The combined use of the FRLS algorithm in the lowest eight frequency bands and the normalized least mean square (NLMS) algorithm in the rest of the frequency bands increases convergence rate for speech signals by five to ten times, and the echo return loss enhancement (ERLE) by more than 10 dB over those of using only the NLMS algorithm.
机译:基于双滤波器结构和快速递归最小二乘(FRLS)算法,开发了一种高质量的声子带回声消除器。提出了克服FRLS算法不稳定性问题并使用32位定点算法实现该方法的方法。提出了一种新的轻敲权重转移方法,该方法可以确保双方通话检测。计算机仿真表明,在一个声学子带回声消除器中,使用32个子带和250毫秒回声路径的总共4000抽头FIR滤波器即可实现快速收敛和快速跟踪。最低的八个频带中的FRLS算法和其余频带中的归一化最小均方(NLMS)算法的组合使用可使语音信号的收敛速度提高五到十倍,并且回声回波损耗增强(ERLE) )比仅使用NLMS算法高出10 dB以上。

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