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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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Bibliografske podrobnosti
izdano v:IEEE/ACM Trans Audio Speech Lang Process
Main Authors: Zhang, Xiao-Lei, Wang, DeLiang
Format: Artigo
Jezik:Inglês
Izdano: 2016
Teme:
Online dostop: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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