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A new discriminant NMF algorithm and its application to the extraction of subtle emotional differences in speech
In this study we propose a new feature extraction algorithm, dNMF (discriminant non-negative matrix factorization), to learn subtle class-related differences while maintaining an accurate generative capability. In addition to the minimum representation error for the standard NMF (non-negative matrix...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Netherlands
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3495075/ https://ncbi.nlm.nih.gov/pubmed/24294336 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-012-9213-1 |
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