Abstract | ||
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In this paper, we propose a model to perform speech dereverberation by estimating its spectral magnitude from the reverberant counterpart. Our models are capable of extracting features that take into account both short- and long-term dependencies in the signal through a convolutional encoder (which extracts features from a short, bounded context of frames) and a recurrent neural network for extrac... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TASLP.2018.2821899 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | DocType | Volume |
Speech,Context modeling,Speech enhancement,Reverberation,Time-frequency analysis,Feature extraction,Convolution | Journal | 26 |
Issue | ISSN | Citations |
7 | 2329-9290 | 1 |
PageRank | References | Authors |
0.36 | 21 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
João Felipe Santos | 1 | 70 | 8.21 |
Tiago H. Falk | 2 | 525 | 65.20 |