Crowdsourcing For Speech Processing
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Crowdsourcing for Speech Processing
Provides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data Intended for those who want to get started in the domain and learn how to set up a task, what interfaces are available, how to assess the work, etc. as well as for those who already have used crowdsourcing and want to create better tasks and obtain better assessments of the work of the crowd. It will include screenshots to show examples of good and poor interfaces; examples of case studies in speech processing tasks, going through the task creation process, reviewing options in the interface, in the choice of medium (MTurk or other) and explaining choices, etc. Provides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data. Addresses important aspects of this new technique that should be mastered before attempting a crowdsourcing application. Offers speech researchers the hope that they can spend much less time dealing with the data gathering/annotation bottleneck, leaving them to focus on the scientific issues. Readers will directly benefit from the book’s successful examples of how crowd- sourcing was implemented for speech processing, discussions of interface and processing choices that worked and choices that didn’t, and guidelines on how to play and record speech over the internet, how to design tasks, and how to assess workers. Essential reading for researchers and practitioners in speech research groups involved in speech processing
Influencing Factors in Speech Quality Assessment using Crowdsourcing
Author: Rafael Zequeira Jiménez
language: en
Publisher: Springer Nature
Release Date: 2022-04-04
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.
Macrotask Crowdsourcing
Crowdsourcing is an emerging paradigm that promises to transform several domains: creative work, business work, cultural cooperation, etc. Crowdsourcing reflects the close-knit interplay between the latest computer technologies, the rapidly changing work model of the 21st century, and the very nature of people. The interplay makes for an exciting but at the same time challenging new field to investigate under the lens of a diverse set of disciplines, ranging from the technical to the social and from the theoretical to the applied. Early research has focused on an aspect of crowdsourcing known as micro-tasking. Micro-tasks are simple tasks (like image annotations) that anyone could perform. An emerging area is how to utilize crowdsourcing to solve problems that go beyond simple tasks towards more complex ones, that require collaboration and creativity. In juxtaposition to micro-task crowdsourcing, this book investigates macro-task crowdsourcing and its potential.