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Classifier Subset Selection for the Stacked Generalization Method Applied to Emotion Recognition in Speech
In this paper, a new supervised classification paradigm, called classifier subset selection for stacked generalization (CSS stacking), is presented to deal with speech emotion recognition. The new approach consists of an improvement of a bi-level multi-classifier system known as stacking generalizat...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732054/ https://www.ncbi.nlm.nih.gov/pubmed/26712757 http://dx.doi.org/10.3390/s16010021 |