Name
Title | ||
|---|---|---|
Model-based estimation of late reverberant spectral variance using modified weighted prediction error method. |
Abstract | ||
|---|---|---|
In this paper, we propose a new approach to estimate the late reverberant spectral variance (LRSV) for speech dereverberation in the short-time Fourier transform (STFT) domain. Our approach uses a model-based scheme involving the estimation of a smoothing (shape) parameter and the reverberant-only component of speech. We propose to obtain the shape parameter by using estimates of the spectral variances of the direct-path and reverberant-only components of the speech, which in turn, can be calculated by smoothing coarse estimates of these two components. Furthermore, an accurate estimate of the reverberant-only component is obtained by means of a moving average scheme. In order to obtain the preliminary estimates of the direct-path and reverberant speech components, we employ a modified version of the weighted prediction error (WPE) method. In contrast to the original WPE method, the suggested modification is implemented for shorter processing blocks, each consisting of a number of STFT frames. This block-wise procedure allows for adaptation to moderate changes in environment and makes the proposed approach also suitable for time-varying acoustic scenarios. Performance evaluations with respect to previous LRSV estimation methods demonstrate the superiority of the proposed approach in both time-invariant and time-variant
reverberant environments. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.specom.2017.06.005 | Speech Communication |
Keywords | Field | DocType |
Reverberation suppression,Late reverberant spectral variance (LRSV),Room acoustics,Short-time Fourier transform (STFT) | Pattern recognition,Computer science,Brain–computer interface,Short-time Fourier transform,Fourier transform,Speech recognition,Smoothing,Shape parameter,Artificial intelligence,Room acoustics,Moving average,PESQ | Journal |
Volume | ISSN | Citations |
92 | 0167-6393 | 1 |
PageRank | References | Authors |
0.35 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahdi Parchami | 1 | 5 | 2.77 |
| Wei-Ping Zhu | 2 | 111 | 28.94 |
| Benoît Champagne | 3 | 510 | 67.66 |