A causal and talker-independent speaker separation/dereverberation deep learning algorithm: Cost associated with conversion to real-time capable operation
The fundamental requirement for real-time operation of a speech-processing algorithm is causality—that it operate without utilizing future time frames. In the present study, the performance of a fully causal deep computational auditory scene analysis algorithm was assessed. Target sentences were iso...
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Veröffentlicht in: | The Journal of the Acoustical Society of America 2021-11, Vol.150 (5), p.3976-3986 |
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Sprache: | eng |
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