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DEEP CLUSTERING AND CONVENTIONAL NETWORKS FOR MUSIC SEPARATION: STRONGER TOGETHER
Deep clustering is the first method to handle general audio separation scenarios with multiple sources of the same type and an arbitrary number of sources, performing impressively in speaker-independent speech separation tasks. However, little is known about its effectiveness in other challenging si...
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| Publicado no: | Proc IEEE Int Conf Acoust Speech Signal Process |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5791533/ https://ncbi.nlm.nih.gov/pubmed/29398973 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICASSP.2017.7952118 |
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