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Deep Learning Based Binaural Speech Separation in Reverberant Environments
Speech signal is usually degraded by room reverberation and additive noises in real environments. This paper focuses on separating target speech signal in reverberant conditions from binaural inputs. Binaural separation is formulated as a supervised learning problem, and we employ deep learning to m...
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| Publicado en: | IEEE/ACM Trans Audio Speech Lang Process |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5646682/ https://ncbi.nlm.nih.gov/pubmed/29057291 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TASLP.2017.2687104 |
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