A noise cross PSD estimator for dual-microphone speech enhancement based on minimum statistics

作     者：Mohsen RAHMANI Ahmad AKBARI Beghdad AYAD Nima DERAKHSHAN 

作者机构：Research Center for Information TechnologyComputer DepartmentIran University of Science and Technology 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2009年第10卷第6期

页      面：805-809页

核心收录：

学科分类：0810[工学-信息与通信工程] 0711[理学-系统科学] 07[理学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Project supported by the Iran Telecommunications Research Center (ITRC) 

主　　题：麦克风 估算 私营部门 语音 噪音 统计 强基 噪声信号 

摘      要：Some two-microphone noise reduction techniques that work in the frequency domain exploit coherence function between two noisy signals. They have shown good results when noise signals on two sensors are uncorrelated, but their per-formance decreases with correlated noises. Coherence based methods can be improved when the cross power spectral density (CPSD) of correlated noise signals is available. In this paper, we propose a new method for estimation of the CPSD of the noise, which is based on the minimum tracking technique. Despite the fact that the proposed estimator does not need to implement a voice activity detector (VAD), its performance is comparable to a CPSD estimator that uses an ideal VAD.