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Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR
This study proposes a complex spectral mapping approach for single- and multi-channel speech enhancement, where deep neural networks (DNNs) are used to predict the real and imaginary (RI) components of the direct-path signal from noisy and reverberant ones. The proposed system contains two DNNs. The...
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| Pubblicato in: | IEEE/ACM Trans Audio Speech Lang Process |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7971156/ https://ncbi.nlm.nih.gov/pubmed/33748326 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/taslp.2020.2998279 |
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