{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:44:07Z","timestamp":1767422647832},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685434","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T00:00:00Z","timestamp":1727222400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,25]]},"abstract":"<jats:p>Stress, the body\u2019s reaction to threatening situation, may derive in negative physical and mental health effects. Since speech under stress (SuS) shows relevant changes in the voice production system, its analysis may become instrumental to identify stressful situations non-invasively. Despite most investigations have focused on identifying SuS from prosodic and spectral variations, preliminary attempts have evaluated the alterations of the glottal source. This work evaluates the viability of considering glottal source features for SuS classification. Results on the cardinal vowels extracted from VOCE corpus show classification accuracies between 90.5% and 92.3% when glottal source features are combined with Mel Frequency Cepstral Coefficients to identify SuS, improving results in 6 out of 8 the SVM and NN two-class classifiers when trained with them separately.<\/jats:p>","DOI":"10.3233\/faia240426","type":"book-chapter","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T09:48:28Z","timestamp":1727689708000},"source":"Crossref","is-referenced-by-count":1,"title":["Glottal Source Features for Speech Under Stress Classification"],"prefix":"10.3233","author":[{"given":"Luis","family":"Joglar-Ongay","sequence":"first","affiliation":[{"name":"Human-Environment Research (HER) group. La Salle - Universitat Ramon Llull"}]},{"given":"Francesc","family":"Al\u00edas-Pujol","sequence":"additional","affiliation":[{"name":"Human-Environment Research (HER) group. La Salle - Universitat Ramon Llull"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA240426","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T09:48:29Z","timestamp":1727689709000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA240426"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,25]]},"ISBN":["9781643685434"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia240426","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,25]]}}}