Late Reverberant Spectral Variance Estimation for Single-Channel Dereverberation Using Adaptive Parameter Estimator
Source abstract
Abstract
The estimation of the late reverberant spectral variance (LRSV) is of paramount importance in most reverberation suppression algorithms. This letter proposes an improved single-channel LRSV estimator based on Habets LRSV estimator by using an adaptive parameter estimator. Instead of estimating the direct-to-reverberation ratio (DRR), the proposed LRSV estimator directly estimates the parameter κ in a generalized statistical model since the experimental results show that even the κ calculated using measured ground truth DRR may not be the optimal parameter for the LRSV estimator. Experimental results using synthetic reverberant signals demonstrate the superiority of the proposed estimator to conventional approaches.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Speech and Audio Processing · Advanced Adaptive Filtering Techniques · Acoustic Wave Phenomena Research
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Affiliations
Institute of Acoustics, Nanjing University, Nanjing 210093, China
Shenzhen Research Institute of Nanjing University, Shenzhen 518000, China
References (14)
Show source-provided references
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