Imposition of Sparse Priors in Adaptive Time Delay Estimation for Speaker Localization in Reverberant Environments

摘要

In this letter, we describe a method to estimate the time delay for speaker localization in reverberant environments. Based on an adaptive eigenvalue decomposition (AED) algorithm , the method takes the reverberation fully into account by estimating channel impulse responses from a speaker to sensors directly, but it may suffer from whitening effects for temporally correlated natural sounds. Imposing sparse priors on the responses can reduce the temporal whitening and provide a more accurate and robust time delay of speaker location. Experiments demonstrate that the proposed method can efficiently estimate the time delay for speaker localization in reverberant environments.