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Long short-term memory for speaker generalization in supervised speech separation
Speech separation can be formulated as learning to estimate a time-frequency mask from acoustic features extracted from noisy speech. For supervised speech separation, generalization to unseen noises and unseen speakers is a critical issue. Although deep neural networks (DNNs) have been successful i...
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| Publicado no: | J Acoust Soc Am |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Acoustical Society of America
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5482750/ https://ncbi.nlm.nih.gov/pubmed/28679261 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1121/1.4986931 |
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