This article proposes an efficient two-channel time delay estimation method for tracking a moving speaker in noisy\r\nand re-verberant environment. Unlike conventional linear regression model-based methods, the proposed multiple\r\nlinear regression model designed in the expanded phase domain shows high estimation accuracy in adverse\r\ncondition because its the Gaussian assumption on phase distribution is valid. Therefore, the least-square-based\r\ntime delay estimator using the proposed multiple linear regression model becomes an ideal estimator that does\r\nnot require a complicated phase unwrapping process. In addition, the proposed method is extended to the twostage\r\nrecursive estimation approach, which can be used for a moving source tracking scenario. The performance of\r\nthe proposed method is compared with that of conventional cross-correlation and linear regression-based\r\nmethods in noisy and reverberant environment. Experimental results verify that the proposed algorithm\r\nsignificantly decreases estimation anomalies and improves the accuracy of time delay estimation. Finally, the\r\ntracking performance of the proposed method to both slow and fast moving speakers is confirmed in adverse\r\nenvironment.
Loading....