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Gated Residual Networks with Dilated Convolutions for Monaural Speech Enhancement
For supervised speech enhancement, contextual information is important for accurate mask estimation or spectral mapping. However, commonly used deep neural networks (DNNs) are limited in capturing temporal contexts. To leverage long-term contexts for tracking a target speaker, we treat speech enhanc...
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| Publicat a: | IEEE/ACM Trans Audio Speech Lang Process |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6660163/ https://ncbi.nlm.nih.gov/pubmed/31355300 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TASLP.2018.2876171 |
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