{"product_id":"crowdsourcing-for-speech-processing-9781118358696","title":"Crowdsourcing for Speech Processing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eProvides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntended 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data.\u003c\/li\u003e \u003cli\u003eAddresses important aspects of this new technique that should be mastered before attempting a crowdsourcing application.\u003c\/li\u003e \u003cli\u003eOffers speech researchers the hope tha\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eContents\u003c\/p\u003e \u003cp\u003e\u003cb\u003eList of Contributors xiii\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePreface xv\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 An Overview 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eMaxine Eskénazi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Origins of Crowdsourcing 2\u003c\/p\u003e \u003cp\u003e1.2 Operational Definition of Crowdsourcing 3\u003c\/p\u003e \u003cp\u003e1.3 Functional Definition of Crowdsourcing 3\u003c\/p\u003e \u003cp\u003e1.4 Some Issues 4\u003c\/p\u003e \u003cp\u003e1.5 Some Terminology 6\u003c\/p\u003e \u003cp\u003e1.6 Acknowledgments 6\u003c\/p\u003e \u003cp\u003eReferences 6\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 The Basics 8\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eMaxine Eskénazi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 An Overview of the Literature on Crowdsourcing for Speech Processing 8\u003c\/p\u003e \u003cp\u003e2.2 Alternative Solutions 14\u003c\/p\u003e \u003cp\u003e2.3 Some Ready-Made Platforms for Crowdsourcing 15\u003c\/p\u003e \u003cp\u003e2.4 Making Task Creation Easier 17\u003c\/p\u003e \u003cp\u003e2.5 Getting Down to Brass Tacks 17\u003c\/p\u003e \u003cp\u003e2.6 Quality Control 29\u003c\/p\u003e \u003cp\u003e2.7 Judging the Quality of the Literature 32\u003c\/p\u003e \u003cp\u003e2.8 Some Quick Tips 33\u003c\/p\u003e \u003cp\u003e2.9 Acknowledgments 33\u003c\/p\u003e \u003cp\u003eReferences 33\u003c\/p\u003e \u003cp\u003eFurther reading 35\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Collecting Speech from Crowds 37\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eIan McGraw\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 A Short History of Speech Collection 38\u003c\/p\u003e \u003cp\u003e3.2 Technology for Web-Based Audio Collection 43\u003c\/p\u003e \u003cp\u003e3.3 Example: WAMI Recorder 49\u003c\/p\u003e \u003cp\u003e3.4 Example: The WAMI Server 52\u003c\/p\u003e \u003cp\u003e3.5 Example: Speech Collection on Amazon Mechanical Turk 59\u003c\/p\u003e \u003cp\u003e3.6 Using the Platform Purely for Payment 65\u003c\/p\u003e \u003cp\u003e3.7 Advanced Methods of Crowdsourced Audio Collection 67\u003c\/p\u003e \u003cp\u003e3.8 Summary 69\u003c\/p\u003e \u003cp\u003e3.9 Acknowledgments 69\u003c\/p\u003e \u003cp\u003eReferences 70\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Crowdsourcing for Speech Transcription 72\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eGabriel Parent\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 72\u003c\/p\u003e \u003cp\u003e4.2 Transcribing Speech 73\u003c\/p\u003e \u003cp\u003e4.3 Preparing the Data 80\u003c\/p\u003e \u003cp\u003e4.4 Setting Up the Task 83\u003c\/p\u003e \u003cp\u003e4.5 Submitting the Open Call 91\u003c\/p\u003e \u003cp\u003e4.6 Quality Control 95\u003c\/p\u003e \u003cp\u003e4.7 Conclusion 102\u003c\/p\u003e \u003cp\u003e4.8 Acknowledgments 103\u003c\/p\u003e \u003cp\u003eReferences 103\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 How to Control and Utilize Crowd-Collected Speech 106\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eIan McGraw and Joseph Polifroni\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Read Speech 107\u003c\/p\u003e \u003cp\u003e5.2 Multimodal Dialog Interactions 111\u003c\/p\u003e \u003cp\u003e5.3 Games for Speech Collection 120\u003c\/p\u003e \u003cp\u003e5.4 Quizlet 121\u003c\/p\u003e \u003cp\u003e5.5 Voice Race 123\u003c\/p\u003e \u003cp\u003e5.6 Voice Scatter 129\u003c\/p\u003e \u003cp\u003e5.7 Summary 135\u003c\/p\u003e \u003cp\u003e5.8 Acknowledgments 135\u003c\/p\u003e \u003cp\u003eReferences 136\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Crowdsourcing in Speech Perception 137\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eMartin Cooke, Jon Barker, and Maria Luisa Garcia Lecumberri\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 137\u003c\/p\u003e \u003cp\u003e6.2 Previous Use of Crowdsourcing in Speech and Hearing 138\u003c\/p\u003e \u003cp\u003e6.3 Challenges 140\u003c\/p\u003e \u003cp\u003e6.4 Tasks 145\u003c\/p\u003e \u003cp\u003e6.5 BigListen: A Case Study in the Use of Crowdsourcing to Identify Words in Noise 149\u003c\/p\u003e \u003cp\u003e6.6 Issues for Further Exploration 167\u003c\/p\u003e \u003cp\u003e6.7 Conclusions 169\u003c\/p\u003e \u003cp\u003eReferences 169\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Crowdsourced Assessment of Speech Synthesis 173\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eSabine Buchholz, Javier Latorre, and Kayoko Yanagisawa\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 173\u003c\/p\u003e \u003cp\u003e7.2 Human Assessment of TTS 174\u003c\/p\u003e \u003cp\u003e7.3 Crowdsourcing for TTS: What Worked and What Did Not 177\u003c\/p\u003e \u003cp\u003e7.4 Related Work: Detecting and Preventing Spamming 193\u003c\/p\u003e \u003cp\u003e7.5 Our Experiences: Detecting and Preventing Spamming 195\u003c\/p\u003e \u003cp\u003e7.6 Conclusions and Discussion 212\u003c\/p\u003e \u003cp\u003eReferences 214\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Crowdsourcing for Spoken Dialog System Evaluation 217\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eZhaojun Yang, Gina-Anne Levow, and Helen Meng\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 217\u003c\/p\u003e \u003cp\u003e8.2 Prior Work on Crowdsourcing: Dialog and Speech Assessment 220\u003c\/p\u003e \u003cp\u003e8.3 Prior Work in SDS Evaluation 221\u003c\/p\u003e \u003cp\u003e8.4 Experimental Corpus and Automatic Dialog Classification 225\u003c\/p\u003e \u003cp\u003e8.5 Collecting User Judgments on Spoken Dialogs with Crowdsourcing 226\u003c\/p\u003e \u003cp\u003e8.6 Collected Data and Analysis 230\u003c\/p\u003e \u003cp\u003e8.7 Conclusions and Future Work 238\u003c\/p\u003e \u003cp\u003e8.8 Acknowledgments 238\u003c\/p\u003e \u003cp\u003eReferences 239\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Interfaces for Crowdsourcing Platforms 241\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eChristoph Draxler\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 241\u003c\/p\u003e \u003cp\u003e9.2 Technology 242\u003c\/p\u003e \u003cp\u003e9.3 Crowdsourcing Platforms 253\u003c\/p\u003e \u003cp\u003e9.4 Interfaces to Crowdsourcing Platforms 261\u003c\/p\u003e \u003cp\u003e9.5 Summary 278\u003c\/p\u003e \u003cp\u003eReferences 278\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Crowdsourcing for Industrial Spoken Dialog Systems 280\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eDavid Suendermann and Roberto Pieraccini\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 280\u003c\/p\u003e \u003cp\u003e10.2 Architecture 283\u003c\/p\u003e \u003cp\u003e10.3 Transcription 287\u003c\/p\u003e \u003cp\u003e10.4 Semantic Annotation 290\u003c\/p\u003e \u003cp\u003e10.5 Subjective Evaluation of Spoken Dialog Systems 296\u003c\/p\u003e \u003cp\u003e10.6 Conclusion 300\u003c\/p\u003e \u003cp\u003eReferences 300\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Economic and Ethical Background of Crowdsourcing for Speech 303\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eGilles Adda, Joseph J. Mariani, Laurent Besacier, and Hadrien Gelas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 303\u003c\/p\u003e \u003cp\u003e11.2 The Crowdsourcing Fauna 304\u003c\/p\u003e \u003cp\u003e11.3 Economic and Ethical Issues 307\u003c\/p\u003e \u003cp\u003e11.4 Under-Resourced Languages: A Case Study 316\u003c\/p\u003e \u003cp\u003e11.5 Toward Ethically Produced Language Resources 322\u003c\/p\u003e \u003cp\u003e11.6 Conclusion 330\u003c\/p\u003e \u003cp\u003eDisclaimer 331\u003c\/p\u003e \u003cp\u003eReferences 331\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex 335\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49528826921303,"sku":"9781118358696","price":89.25,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781118358696.jpg?v=1731873171","url":"https:\/\/bookcurl.com\/products\/crowdsourcing-for-speech-processing-9781118358696","provider":"Book Curl","version":"1.0","type":"link"}