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Real-time single-channel deep neural network-based speech enhancement on edge devices
In this paper, we present a deep neural network architecture comprising of both convolutional neural network (CNN) and recurrent neural network (RNN) layers for real-time single-channel speech enhancement (SE). The proposed neural network model focuses on enhancing the noisy speech magnitude spectru...
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| Yayımlandı: | Interspeech |
|---|---|
| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8064406/ https://ncbi.nlm.nih.gov/pubmed/33898608 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21437/Interspeech.2020-1901 |
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