Machine learning techniques for semantic analysis of dysarthric speech: An experimental study
dc.citation.epage | 251 | |
dc.citation.rank | M22 | |
dc.citation.spage | 242 | |
dc.citation.volume | 99 | |
dc.contributor.author | Despotović, Vladimir | |
dc.contributor.author | Walter, Oliver | |
dc.contributor.author | 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.doi | 10.1016/j.specom.2018.04.005 | |
dc.identifier.issn | 0167-6393 | |
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.rights.license | ARR | |
dc.rights.uri | https://en.wikipedia.org/wiki/All_rights_reserved | |
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 |