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Learning Complex Spectral Mapping with Gated Convolutional Recurrent Networks for Monaural Speech Enhancement
Phase is important for perceptual quality of speech. However, it seems intractable to directly estimate phase spectra through supervised learning due to their lack of spectrotemporal structure in it. Complex spectral mapping aims to estimate the real and imaginary spectrograms of clean speech from t...
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| Vydáno v: | IEEE/ACM Trans Audio Speech Lang Process |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7970735/ https://ncbi.nlm.nih.gov/pubmed/33748323 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/taslp.2019.2955276 |
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