Crowdsourcing for Speech Processing Applications to Data Collection Transcription and Assessment 1st Edition by Maxine Eskenazi, Gina Anne Levow, Helen Meng, Gabriel Parent, David Suendermann – Ebook PDF Instant Download/Delivery: 1118358694, 9781118358696
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ISBN 10: 1118358694
ISBN 13: 9781118358696
Author: Maxine Eskenazi, Gina-Anne Levow, Helen Meng, Gabriel Parent, David Suendermann
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
Crowdsourcing for Speech Processing Applications to Data Collection Transcription and Assessment 1st Table of contents:
1. Overview
Author: Maxine Eskénazi
1.1 Origins of Crowdsourcing
1.2 Operational Definition of Crowdsourcing
1.3 Functional Definition of Crowdsourcing
1.4 Key Issues
1.5 Terminology
1.6 Acknowledgments
References
2. The Basics
Author: Maxine Eskénazi
2.1 Literature Review on Crowdsourcing for Speech Processing
2.2 Alternative Approaches
2.3 Available Crowdsourcing Platforms
2.4 Simplifying Task Creation
2.5 Practical Applications
2.6 Quality Assurance
2.7 Evaluating Literature Quality
2.8 Quick Tips
2.9 Acknowledgments
References
Further Reading
3. Collecting Speech from Crowds
Author: Ian McGraw
3.1 History of Speech Collection
3.2 Web-Based Audio Collection Technology
3.3 Case Study: WAMI Recorder
3.4 Case Study: WAMI Server
3.5 Speech Collection via Amazon Mechanical Turk
3.6 Payment-Only Platform Use
3.7 Advanced Methods for Audio Collection
3.8 Summary
3.9 Acknowledgments
References
4. Crowdsourcing for Speech Transcription
Author: Gabriel Parent
4.1 Introduction
4.2 Speech Transcription Techniques
4.3 Data Preparation
4.4 Task Setup
4.5 Open Call Submission
4.6 Quality Assurance
4.7 Conclusion
4.8 Acknowledgments
References
5. Controlling and Utilizing Crowd-Collected Speech
Authors: Ian McGraw, Joseph Polifroni
5.1 Read Speech Collection
5.2 Multimodal Dialog Interaction
5.3 Speech Collection Games
5.4 Quizlet
5.5 Voice Race
5.6 Voice Scatter
5.7 Summary
5.8 Acknowledgments
References
6. Crowdsourcing in Speech Perception
Authors: Martin Cooke, Jon Barker, Maria Luisa Garcia Lecumberri
6.1 Introduction
6.2 Crowdsourcing in Speech and Hearing
6.3 Challenges
6.4 Task Overview
6.5 Case Study: BigListen
6.6 Future Directions
6.7 Conclusions
References
7. Crowdsourced Assessment of Speech Synthesis
Authors: Sabine Buchholz, Javier Latorre, Kayoko Yanagisawa
7.1 Introduction
7.2 Human TTS Assessment
7.3 Crowdsourcing Insights: Successes and Failures
7.4 Related Work: Spam Detection and Prevention
7.5 Lessons Learned: Combating Spamming
7.6 Discussion and Conclusions
References
8. Crowdsourcing for Spoken Dialog System Evaluation
Authors: Zhaojun Yang, Gina-Anne Levow, Helen Meng
8.1 Introduction
8.2 Previous Research on Crowdsourced Dialog Assessment
8.3 SDS Evaluation Studies
8.4 Corpus and Dialog Classification
8.5 Crowdsourcing User Judgments
8.6 Data Analysis
8.7 Future Directions
8.8 Acknowledgments
References
9. Interfaces for Crowdsourcing Platforms
Author: Christoph Draxler
9.1 Introduction
9.2 Platform Technologies
9.3 Crowdsourcing Platforms Overview
9.4 User Interfaces for Platforms
9.5 Summary
References
10. Industrial Applications of Crowdsourcing for Dialog Systems
Authors: David Suendermann, Roberto Pieraccini
10.1 Introduction
10.2 System Architecture
10.3 Transcription Processes
10.4 Semantic Annotation Techniques
10.5 Subjective SDS Evaluations
10.6 Conclusion
References
11. Economic and Ethical Contexts of Crowdsourcing for Speech
Authors: Gilles Adda, Joseph J. Mariani, Laurent Besacier, Hadrien Gelas
11.1 Introduction
11.2 Crowdsourcing Stakeholders
11.3 Ethical and Economic Concerns
11.4 Case Study: Under-Resourced Languages
11.5 Toward Ethical Language Resources
11.6 Conclusion
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Maxine Eskenazi,Gina Anne Levow,Helen Meng,Gabriel Parent,Crowdsourcing