Machine learning techniques for semantic analysis of dysarthric speech: An experimental study

Article Metadata only M22

2018

Despotović, Vladimir
Walter, Oliver
Haeb-Umbach, Reinhold

Speech Communication

242

251

English

M22 - Paper in a prominent international journal

10.1016/j.specom.2018.04.005

0167-6393

dc.rights.license	ARR
dc.identifier.doi	10.1016/j.specom.2018.04.005
dc.identifier.uri	https://www.sciencedirect.com/science/article/abs/pii/S0167639317301243
dc.identifier.uri	https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/823
dc.language.iso	en
dc.source	Speech Communication
dc.title	Machine learning techniques for semantic analysis of dysarthric speech: An experimental study
dc.type	article
dc.type.version	publishedVersion
dc.citation.volume	99
dc.citation.spage	242
dc.rights.uri	https://en.wikipedia.org/wiki/All_rights_reserved
dc.citation.epage	251
dc.citation.rank	M22
dc.creator	Despotović, Vladimir
dc.creator	Walter, Oliver
dc.creator	Haeb-Umbach, Reinhold
dc.date.accessioned	2023-12-25T21:48:44Z
dc.date.available	2023-12-25T21:48:44Z
dc.date.issued	2018
dc.identifier.issn	0167-6393


Machine learning techniques for semantic analysis of dysarthric speech: An experimental study	2