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Selecting Disorder-Specific Features for Speech Pathology Fingerprinting
The general aim of this work is to learn a unique statistical signature for the state of a particular speech pathology. We pose this as a speaker identification problem for dysarthric individuals. To that end, we propose a novel algorithm for feature selection that aims to minimize the effects of sp...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2013
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4082829/ https://ncbi.nlm.nih.gov/pubmed/25005047 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICASSP.2013.6639133 |
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