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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