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020 _a9783030933104
024 7 _a10.1007/978-3-030-93310-4
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTK5102.9
050 4 _aP95.3
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
090 _aTK5102.9EBK
100 1 _aJiménez, Rafael Zequeira.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aInfluencing Factors in Speech Quality Assessment using Crowdsourcing
_h[electronic resource] /
_cby Rafael Zequeira Jiménez.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Related Work -- Method -- Test Structure -- Impact of Background Noise -- Influence of Language -- Conclusion.
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.
650 0 _aSignal processing.
650 0 _aNatural language processing (Computer science).
650 0 _aAcoustical engineering.
650 1 4 _aSignal, Speech and Image Processing .
650 2 4 _aNatural Language Processing (NLP).
650 2 4 _aEngineering Acoustics.
653 0 _aCrowdsourcing.
653 0 _aSpeech -- Research -- Methodology
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-030-93310-4
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK