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A Deep Ensemble Learning Method for Monaural Speech Separation
Monaural speech separation is a fundamental problem in robust speech processing. Recently, deep neural network (DNN)-based speech separation methods, which predict either clean speech or an ideal time-frequency mask, have demonstrated remarkable performance improvement. However, a single DNN with a...
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| Veröffentlicht in: | IEEE/ACM Trans Audio Speech Lang Process |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5131883/ https://ncbi.nlm.nih.gov/pubmed/27917394 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TASLP.2016.2536478 |
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