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Influencing Factors in Speech Quality Assessment using Crowdsourcing

  • Book
  • © 2022

Overview

Authors:
  1. Rafael Zequeira Jiménez

    1. Quality and Usability lab, Technische Universität Berlin, Berlin, Germany

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  • Presents findings from ITU-T Recommendation P.808 which sets the methodology
  • Includes a framework to collects reliable speech quality scores in crowdsourcing
  • Provides two datasets of labeled environmental background noises that were collected through the audio web-API

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xx
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  2. Introduction

    • Rafael Zequeira Jiménez
    Pages 1-9

  3. Related Work

    • Rafael Zequeira Jiménez
    Pages 11-18

  4. Method

    • Rafael Zequeira Jiménez
    Pages 19-32

  5. Test Structure

    • Rafael Zequeira Jiménez
    Pages 33-52

  6. Impact of Background Noise

    • Rafael Zequeira Jiménez
    Pages 53-79

  7. Influence of Language

    • Rafael Zequeira Jiménez
    Pages 81-93

  8. Conclusion

    • Rafael Zequeira Jiménez
    Pages 95-98

  9. Back Matter

    Pages 99-116
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Keywords

About this book

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.

Authors and Affiliations

  • Quality and Usability lab, Technische Universität Berlin, Berlin, Germany

    Rafael Zequeira Jiménez

About the author

Rafael Zequeira Jiménez received a M.Sc. degree as Telecommunication Engineer at the University of Granada, Spain in 2014. In 2015, he joined the Quality and Usability Lab at the Berlin Institute of Technology, working as a research assistant. His research focused on the impact of the main influencing factors in speech quality assessment studies using crowdsourcing. Rafael was a member of the Study Group 12 of the ITU-T Standardization Sector. He actively contributed to the standardization of methods for speech quality assessment in crowdsourcing environments, materialized as the ITU-T Recommendation P.808. He was also awarded with an education program funded by the German Federal Ministry of Education and Research. This program is intended to train and professionally develop the next generation of IT leaders in Germany. Rafael completed his PhD in computer science at the Berlin Institute of Technology in 2021.

Bibliographic Information

  • Book Title: Influencing Factors in Speech Quality Assessment using Crowdsourcing

  • Authors: Rafael Zequeira Jiménez

  • DOI: https://doi.org/10.1007/978-3-030-93310-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-93309-8Published: 05 April 2022

  • Softcover ISBN: 978-3-030-93312-8Published: 06 April 2023

  • eBook ISBN: 978-3-030-93310-4Published: 04 April 2022

  • Edition Number: 1

  • Number of Pages: XX, 116

  • Number of Illustrations: 7 b/w illustrations, 19 illustrations in colour

  • Topics: Signal, Image and Speech Processing, Natural Language Processing (NLP), Engineering Acoustics

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