An Improved Double-talk Detection Algorithm for Echo Cancellation in Teleconference System

2018 2nd annual International Conference on Cloud Technology and Communication Engineering

计算机科学;无线电电子学

Guo, Ruxue^1 ; Zhao, Li^1

School of Information Science and Engineering, Southeast University, No.2 Sipailou, Nanjing

210096, China^1

关键词: Correlation coefficient;    Double talk detector;    Double-talk detection;    Echo cancellation algorithm;    Echo signals;    Frequency-domain adaptive filters;    Output signal;    Smoothing parameter;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/466/1/012040/pdf
DOI  :  10.1088/1757-899X/466/1/012040

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Echo cancellation commonly employs a double-talk detector (DTD), which is essential to keep the adaptive filter from diverging in the presence of near-end speech. An improved double-talk detection algorithm is proposed to promote the performance of the echo cancellation in teleconference system in the presence of speech issued from the near-end speaker (double-talk). Based on the partitioned block frequency domain adaptive filter algorithm (PBFDAF), the advanced double-talk detection method is presented in this paper constructs a joint correlation coefficient variable to judge the communication state and the variable is applied as a smoothing parameter to the error signal and then get the final output signal. Simulation results show that the improved algorithm can effectively detect the current voice state, eliminate the echo signal, and keep the near-end speaker's voice well. The performance of the echo cancellation algorithm is improved when both echo and near end signals are simultaneously active by the proposed technique.