Robust noise estimation using minimum correction with harmonicity control
نویسندگان
چکیده
In this paper a new noise spectrum estimation algorithm is described for single-channel acoustic noise suppression systems. To achieve fast convergence during abrupt change of noise floor, the proposed algorithm uses a minimum correction module to adjust an adaptive noise estimator. The minimum search duration is controlled by a harmonicity module for improved noise tracking under continuous voicing condition. Objective test results show that the proposed algorithm consistently outperforms competitive noise estimation methods.
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تاریخ انتشار 2010