دانلود کتاب Crowdsourcing for Speech Processing: Applications to Data Collection, Transcription and Assessment

Provides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech dataIntended 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 processingContent: Chapter 1 An Overview (pages 1–7): Maxine EskenaziChapter 2 The Basics (pages 8–36): Maxine EskenaziChapter 3 Collecting Speech from Crowds (pages 37–71): Ian McGrawChapter 4 Crowdsourcing for Speech Transcription (pages 72–105): Gabriel ParentChapter 5 How to Control and Utilize Crowd?Collected Speech (pages 106–136): Ian McGraw and Joseph PolifroniChapter 6 An Overview (pages 137–172): Martin Cooke, Jon Barker and Maria Luisa Garcia LecumberChapter 7 Crowdsourced Assessment of Speech Synthesis (pages 173–216): Sabine Buchholz, Javier Latorre and Kayoko YanagisawaChapter 8 Crowdsourcing for Spoken Dialog System Evaluation (pages 217–240): Zhaojun Yang, Gina?Anne Levow and Helen MengChapter 9 Interfaces for Crowdsourcing Platforms (pages 241–279): Christoph DraxlerChapter 10 Crowdsourcing for Industrial Spoken Dialog Systems (pages 280–302): David Suendermann and Roberto PieracciniChapter 11 Economic and Ethical Background of Crowdsourcing for Speech (pages 303–334): Gilles Adda, Joseph J. Mariani, Laurent Besacier and Hadrien Gelas