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A convolutional recurrent neural network with attention framework for speech separation in monaural recordings
Most speech separation studies in monaural channel use only a single type of network, and the separation effect is typically not satisfactory, posing difficulties for high quality speech separation. In this study, we propose a convolutional recurrent neural network with an attention (CRNN-A) framewo...
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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7809293/ https://ncbi.nlm.nih.gov/pubmed/33446851 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-80713-3 |
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