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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Berisha, Visar, Sandoval, Steven, Utianski, Rene, Liss, Julie, Spanias, Andreas
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: 2013
विषय:
ऑनलाइन पहुंच: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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