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On Training Targets for Supervised Speech Separation
Formulation of speech separation as a supervised learning problem has shown considerable promise. In its simplest form, a supervised learning algorithm, typically a deep neural network, is trained to learn a mapping from noisy features to a time-frequency representation of the target of interest. Tr...
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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: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4293540/ https://ncbi.nlm.nih.gov/pubmed/25599083 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TASLP.2014.2352935 |
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