A steered response power approach with trade-off prewhitening for acoustic source localization

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.