Influencing Factors in Speech Quality Assessment using Crowdsourcing / by Rafael Zequeira Jiménez
By: Zequeira Jiménez, Rafael, autor
Material type:
E-bookPublisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XX, 116 páginas) : 26 ilustraciones, 19 ilustraciones a color.ISBN: 9783030933104.Subject: Comunicación oral -- Estudio y enseñanza
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias Sociales | P95.3 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.28102278 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| P94.6 .H65 2004 EB Intercultural Communication : an Advanced Resource Book / | P95 2006 EB Dynamic Speech Models : Theory, Algorithms, and Applications | P95 2019 EB Neural Modeling of Speech Processing and Speech Learning : An Introduction | P95.3 2022 EB Influencing Factors in Speech Quality Assessment using Crowdsourcing | P95.45 2020 EB Cosas que pasan cuando conversamos | P95.6 M494 2015 EB Whistled Languages : A Worldwide Inquiry on Human Whistled Speech | P96.C76 O76 2000 EB Electronic media criticism : applied perspectives / |
Introduction -- Related Work -- Method -- Test Structure -- Impact of Background Noise -- Influence of Language -- Conclusion.
This 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.
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