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Towards Model Compression for Deep Learning Based Speech Enhancement
The use of deep neural networks (DNNs) has dramatically elevated the performance of speech enhancement over the last decade. However, to achieve strong enhancement performance typically requires a large DNN, which is both memory and computation consuming, making it difficult to deploy such speech en...
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| Publicado no: | IEEE/ACM Trans Audio Speech Lang Process |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8224477/ https://ncbi.nlm.nih.gov/pubmed/34179220 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/taslp.2021.3082282 |
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