001445713 000__ 03008cam\a2200529Ii\4500
001445713 001__ 1445713
001445713 003__ OCoLC
001445713 005__ 20230310003845.0
001445713 006__ m\\\\\o\\d\\\\\\\\
001445713 007__ cr\un\nnnunnun
001445713 008__ 220407s2022\\\\sz\a\\\\ob\\\\001\0\eng\d
001445713 019__ $$a1309863839$$a1309956658$$a1310338473
001445713 020__ $$a9783030933104$$q(electronic bk.)
001445713 020__ $$a3030933105$$q(electronic bk.)
001445713 020__ $$z9783030933098
001445713 020__ $$z3030933091
001445713 0247_ $$a10.1007/978-3-030-93310-4$$2doi
001445713 035__ $$aSP(OCoLC)1309129007
001445713 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dUKAHL$$dOCLCQ
001445713 049__ $$aISEA
001445713 050_4 $$aP95.3$$b.Z47 2022
001445713 08204 $$a302.2/242072$$223/eng/20220415
001445713 1001_ $$aZequeira Jiménez, Rafael,$$eauthor.
001445713 24510 $$aInfluencing factors in speech quality assessment using crowdsourcing /$$cRafael Zequeira Jiménez.
001445713 264_1 $$aCham :$$bSpringer,$$c[2022]
001445713 264_4 $$c©2022
001445713 300__ $$a1 online resource :$$billustrations (some color)
001445713 336__ $$atext$$btxt$$2rdacontent
001445713 337__ $$acomputer$$bc$$2rdamedia
001445713 338__ $$aonline resource$$bcr$$2rdacarrier
001445713 504__ $$aIncludes bibliographical references and index.
001445713 5050_ $$aIntroduction -- Related Work -- Method -- Test Structure -- Impact of Background Noise -- Influence of Language -- Conclusion.
001445713 506__ $$aAccess limited to authorized users.
001445713 520__ $$aThis book evaluates the impact of relevant factors affecting the results of speech quality assessment studies carried out in crowdsourcing. The author describes how these factors relate to the test structure, the effect of environmental background noise, and the influence of language differences. He details multiple user-centered studies that have been conducted to derive guidelines for reliable collection of speech quality scores in crowdsourcing. Specifically, different questions are addressed such as the optimal number of speech samples to include in a listening task, the influence of the environmental background noise in the speech quality ratings, as well as methods for classifying background noise from web audio recordings, or the impact of language proficiency in the user perception of speech quality. Ultimately, the results of these studies contributed to the definition of the ITU-T Recommendation P.808 that defines the guidelines to conduct speech quality studies in crowdsourcing.
001445713 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 15, 2022).
001445713 650_0 $$aSpeech$$xResearch$$xMethodology.
001445713 650_0 $$aCrowdsourcing.
001445713 650_6 $$aLangage$$xRecherche$$xMéthodologie.
001445713 650_6 $$aExternalisation ouverte.
001445713 655_0 $$aElectronic books.
001445713 77608 $$iPrint version: $$z3030933091$$z9783030933098$$w(OCoLC)1285918143
001445713 852__ $$bebk
001445713 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-93310-4$$zOnline Access$$91397441.1
001445713 909CO $$ooai:library.usi.edu:1445713$$pGLOBAL_SET
001445713 980__ $$aBIB
001445713 980__ $$aEBOOK
001445713 982__ $$aEbook
001445713 983__ $$aOnline
001445713 994__ $$a92$$bISE