A maximum a posteriori sound source localization in reverberant and noisy conditions
نویسندگان
چکیده
In this paper, a maximum a posteriori sound source localization (MAP-SSL) algorithm is proposed for reverberant and noisy conditions. It is derived by incorporating a sparse prior on the source location into the existing maximum likelihood sound source localization (ML-SSL) framework. The criterion in deriving the proposed MAP-SSL algorithm is similar to the criterion used in deriving the existing ML-SSL framework, except that in the proposed criterion, a sparse source prior is added. The source prior that enforces a sparse solution plays a key role in improving the SSL performance. The experimental results show the proposed MAP-SSL algorithm outperforms two popular algorithms based on the ML-SSL framework.
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