Perceptual Error Identification of Human and Synthesized Voices

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dc.contributor.authorEnglert, Marina [UNIFESP]
dc.contributor.authorMadazio, Glaucya
dc.contributor.authorGielow, Ingrid
dc.contributor.authorLucero, Jorge
dc.contributor.authorBehlau, Mara [UNIFESP]
dc.date.accessioned2019-07-22T15:46:47Z
dc.date.available2019-07-22T15:46:47Z
dc.date.issued2016
dc.description.abstractObjectives/Hypothesis. To verify the discriminatory ability of human and synthesized voice samples. Study Design. This is a prospective study. Methods. A total of 70 subjects, 20 voice specialist speech-language pathologists (V-SLPs), 20 general SLPs (G-SLPs), and 30 naive listeners (NLs) participated of a listening task that was simply to classify the stimuli as human or synthesized. Samples of 36 voices, 18 human and 18 synthesized vowels, male and female (9 each), with different type and degree of deviation, were presented with 50% of repetition to verify intrarater consistency. Human voices were collected froma vocal clinic database. Voice disorders were simulated by perturbations of vocal frequency, jitter (roughness), additive noise (breathiness) and by increasing tension and decreasing separation of the vocal folds (strain). Results. The average amount of error considering all groups was 37.8%, 31.9% for V-SLP, 39.3% for G-SLP, and 40.8% for NL. V-SLP had smaller mean percentage error for synthesized (24.7%), breathy (36.7%), synthesized breathy (30.8%), and tense (25%) and female (27.5%) voices. G-SLP and NL presented equal mean percentage error for all voices classification. All groups together presented no difference on the mean percentage error between human and synthesized voices (P value = 0.452). Conclusions. The quality of synthesized samples was very high. V-SLP presented a lower amount of error, which allows us to infer that auditory training assists on vocal analysis tasks.en
dc.description.affiliationUniv Fed Sao Paulo, Dept Speech Language Pathol & Audiol, Sao Paulo, Brazil
dc.description.affiliationCtr Estudos Voz, Voice Dept, Sao Paulo, Brazil
dc.description.affiliation[Lucero, Jorge] Univ Brasilia, Brasilia, DF, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo, Dept Speech Language Pathol & Audiol, Sao Paulo, Brazil
dc.description.sourceWeb of Science
dc.format.extent-
dc.identifierhttp://dx.doi.org/10.1016/j.jvoice.2015.07.017
dc.identifier.citationJournal Of Voice. New York, v. 30, n. 5, p. -, 2016.
dc.identifier.doi10.1016/j.jvoice.2015.07.017
dc.identifier.issn0892-1997
dc.identifier.urihttp://repositorio.unifesp.br/handle/11600/51092
dc.identifier.wosWOS:000384010300023
dc.language.isoeng
dc.publisherMosby-Elsevier
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectVoiceen
dc.subjectDysphoniaen
dc.subjectAuditory perceptionen
dc.subjectEvaluationen
dc.subjectJudgmenten
dc.titlePerceptual Error Identification of Human and Synthesized Voicesen
dc.typeinfo:eu-repo/semantics/article
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