Title | ||
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Late reverberation PSD estimation for single-channel dereverberation using relative convolutive transfer functions |
Abstract | ||
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The estimation accuracy of the late reverberation power spectral density (PSD) is of paramount importance in single-channel frequency-domain dereverberation algorithms. In this domain, the reverberant signal can be modeled by the convolution of an early speech component and a relative convolutive transfer function (RCTF). In this work, the RCTF coefficients are modeled by a first-order Markov chain, which is well-suited to model time-varying scenarios. The RCTF coefficients are estimated online by a Kalman filter and are then used to compute the late reverberation PSD, which is used in a spectral enhancement filter to achieve dereverberation and noise reduction. It is shown that the proposed reverberation PSD estimator yields similar performance to other estimators, which impose a model on the reverberant tail and which depend on additional information like the reverberation time and the direct-to-reverberation ratio. |
Year | DOI | Venue |
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2016 | 10.1109/IWAENC.2016.7602930 | 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC) |
Keywords | Field | DocType |
dereverberation,single-channel,Kalman filter,interframe correlation | Frequency domain,Noise reduction,Reverberation,Convolution,Kalman filter,Transfer function,Spectral density,Acoustics,Mathematics,Estimator | Conference |
ISBN | Citations | PageRank |
978-1-5090-2008-9 | 1 | 0.35 |
References | Authors | |
12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sebastian Braun | 1 | 56 | 5.33 |
Boaz Schwartz | 2 | 25 | 3.16 |
Sharon Gannot | 3 | 1754 | 130.51 |
Emanuel A. P. Habets | 4 | 604 | 66.23 |