dc.contributor.author | Themistocleous, Charalambos | en |
dc.contributor.author | Savva, Angelandria | en |
dc.contributor.author | Aristodemou, Andrie | en |
dc.contributor.editor | Morgan N. | en |
dc.contributor.editor | Georgiou P. | en |
dc.contributor.editor | Morgan N. | en |
dc.contributor.editor | Narayanan, S. | en |
dc.contributor.editor | Metze F. | en |
dc.creator | Themistocleous, Charalambos | en |
dc.creator | Savva, Angelandria | en |
dc.creator | Aristodemou, Andrie | en |
dc.date.accessioned | 2019-11-13T10:42:28Z | |
dc.date.available | 2019-11-13T10:42:28Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/55061 | |
dc.description.abstract | This study investigates the effects of stress on the spectral properties of fricative noise in Standard Modern Greek (SMG). Twenty female speakers of SMG participated in the study. Fricatives were produced in stressed and unstressed positions in two vowel place positions: back and front vowels. Acoustic measurements were taken and the temporal and spectral properties of fricatives using spectral moments were calculated. Stressed fricatives are produced with increased duration, center of gravity, standard deviation, and normalized intensity. The machine learning and classification algorithm C5.0 has been employed to estimate the contribution of the temporal and spectral parameters for the classification of fricatives. Overall, duration and center of gravity contribute the most to the classification of stressed vs. unstressed fricatives. Copyright © 2016 ISCA. | en |
dc.publisher | International Speech and Communication Association | en |
dc.source | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH | en |
dc.source | 17th Annual Conference of the International Speech Communication Association, INTERSPEECH 2016 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991705235&doi=10.21437%2fInterspeech.2016-1057&partnerID=40&md5=e2e786f5ccc955e69c73d68f1fd1a804 | |
dc.subject | Artificial intelligence | en |
dc.subject | Linguistics | en |
dc.subject | Stress | en |
dc.subject | Stresses | en |
dc.subject | Acoustic measurements | en |
dc.subject | Standard deviation | en |
dc.subject | Learning systems | en |
dc.subject | Classification algorithm | en |
dc.subject | Speech processing | en |
dc.subject | Center of gravity | en |
dc.subject | Fricatives | en |
dc.subject | Spectral moments | en |
dc.subject | Spectral parameters | en |
dc.subject | Spectral properties | en |
dc.subject | Speech communication | en |
dc.title | Effects of stress on fricatives: Evidence from Standard Modern Greek | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.21437/Interspeech.2016-1057 | |
dc.description.volume | 08-12-September-2016 | en |
dc.description.startingpage | 1026 | |
dc.description.endingpage | 1029 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: Amazon Alexa | en |
dc.description.notes | Apple | en |
dc.description.notes | eBay | en |
dc.description.notes | et al. | en |
dc.description.notes | Google | en |
dc.description.notes | Microsoft | en |
dc.description.notes | Conference code: 124342 | en |
dc.description.notes | Cited By :1</p> | en |