He Hongsen, Wang Xueyuan, Zhou Yingyue, Yang Tao
School of Information Engineering and Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Southwest University of Science and Technology, Mianyang, 621010, China.
J Acoust Soc Am. 2018 Feb;143(2):1003. doi: 10.1121/1.5024652.
This paper proposes a steered response power (SRP) approach with trade-off prewhitening to acoustic source localization. To obtain effective compromise prefiltering of microphone signals, the sparsity of speech amplitude spectrum is used to establish a convex-constraint linear prediction model, which is solved by a split Bregman method. The presented approach unifies the traditional SRP and steered response power via phase transform prefiltering methods and achieves a good compromise between them from the perspective of localization performance. The superiority of the proposed method is demonstrated in noisy and reverberant environments.
