Crowdsourcing for Speech Processing: Applications to Data Collection, Transcription and Assessment (Hardcover)

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

提供了一個深入且實用的介紹，以眾包作為快速處理語音數據的手段。

本書旨在幫助那些想要進入這個領域並學習如何設置任務、了解可用的界面、如何評估工作等的人，同時也適用於那些已經使用過眾包並希望創建更好的任務並獲得更好的工作評估的人。書中將包含屏幕截圖，以展示良好和不良界面的示例；以及在語音處理任務中的案例研究，介紹任務創建過程，界面選擇中的選項，媒介的選擇（MTurk或其他）以及相應的解釋等。

• 提供了一個深入且實用的介紹，以眾包作為快速處理語音數據的手段。


• 介紹了在嘗試眾包應用之前應該掌握的這種新技術的重要方面。


• 為語音研究人員提供了希望，他們可以花更少的時間處理數據收集/標註的瓶頸，從而專注於科學問題。


• 讀者將直接受益於本書成功的眾包應用案例，討論了有效和無效的界面和處理選擇，以及如何在互聯網上播放和錄製語音，如何設計任務以及如何評估工作者的指南。

對於從事語音處理的研究人員和從業人員來說，這是一本必讀的書籍。