Acoustic analysis of chronic laryngitis - statistical analysis of sustained speech parameters

Teixeira, João Paulo; Fernandes, Joana Filipa Teixeira; Teixeira, Felipe; Fernandes, Paula Odete

Publication

Acoustic analysis of chronic laryngitis - statistical analysis of sustained speech parameters

2018Conference object

dc.contributor.author	Teixeira, João Paulo
dc.contributor.author	Fernandes, Joana Filipa Teixeira
dc.contributor.author	Teixeira, Felipe
dc.contributor.author	Fernandes, Paula Odete
dc.date.accessioned	2020-04-16T10:10:01Z
dc.date.available	2020-04-16T10:10:01Z
dc.date.issued	2018
dc.description.abstract	This paper describes the statistical analysis of a set of features extracted from the speech of sustained vowels of patients with chronic laryngitis and control subjects. The idea is to identify which features can be useful in a classification intelligent system to discriminate between pathologic and healthy voices. The set of features analysed consist in the Jitter, Shimmer Harmonic to Noise Ratio (HNR), Noise to Harmonic Ratio (NHR) and Autocorrelation extracted from the sound of a sustained vowels /a/, /i/ and /u/ in a low, neutral and high tones. The results showed that besides the absolute Jitter, no statistical significance exist between male and female voices, considering the classification between pathologic or healthy. Any of the analysed parameters is likely to be a statistical difference between control and Chronic Laryngitis groups. This is an important information that these features can be used in an intelligent system to classify healthy from Chronic Laryngitis voices.	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier.citation	Teixeira, João Paulo; Fernandes, Joana; Teixeira, Filipe; Fernandes, Paula O. (2018). Acoustic analysis of chronic laryngitis - statistical analysis of sustained speech parameters. In 11th International Joint Conference on Biomedical Engineering Systems and Technologies. 4, p. 168-175. ISBN 978-989-758-279-0	pt_PT
dc.identifier.doi	10.5220/0006586301680175	pt_PT
dc.identifier.uri	http://hdl.handle.net/10198/21684
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	pt_PT
dc.subject	Chronic laryngitis	pt_PT
dc.subject	Acoustic analysis	pt_PT
dc.subject	Jitter, shimmer	pt_PT
dc.subject	HNR	pt_PT
dc.subject	NHR	pt_PT
dc.subject	Auto correlation	pt_PT
dc.title	Acoustic analysis of chronic laryngitis - statistical analysis of sustained speech parameters	pt_PT
dc.type	conference object
dspace.entity.type	Publication
oaire.citation.conferencePlace	Madeira	pt_PT
oaire.citation.endPage	175	pt_PT
oaire.citation.startPage	168	pt_PT
oaire.citation.title	11th International Joint Conference on Biomedical Engineering Systems and Technologies	pt_PT
person.familyName	Teixeira
person.familyName	Fernandes
person.familyName	Teixeira
person.familyName	Fernandes
person.givenName	João Paulo
person.givenName	Joana Filipa Teixeira
person.givenName	Felipe
person.givenName	Paula Odete
person.identifier	663194
person.identifier	ABC-9055-2020
person.identifier	N-3804-2013
person.identifier.ciencia-id	4F15-B322-59B4
person.identifier.ciencia-id	AE12-440A-299D
person.identifier.ciencia-id	0E17-62FB-AA17
person.identifier.ciencia-id	991D-9D1E-D67D
person.identifier.orcid	0000-0002-6679-5702
person.identifier.orcid	0000-0002-0618-4627
person.identifier.orcid	0000-0001-8714-4901
person.identifier.rid	N-6576-2013
person.identifier.scopus-author-id	57069567500
person.identifier.scopus-author-id	35200741800
rcaap.rights	openAccess	pt_PT
rcaap.type	conferenceObject	pt_PT
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