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Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation

We address talker-independent monaural speaker separation from the perspectives of deep learning and computational auditory scene analysis (CASA). Specifically, we decompose the multi-speaker separation task into the stages of simultaneous grouping and sequential grouping. Simultaneous grouping is f...

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Dades bibliogràfiques
Publicat a:IEEE/ACM Trans Audio Speech Lang Process
Autors principals: Liu, Yuzhou, Wang, DeLiang
Format: Artigo
Idioma:Inglês
Publicat: 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7976856/
https://ncbi.nlm.nih.gov/pubmed/33748322
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/taslp.2019.2941148
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