Economic and Ethical background of Crowdsourcing for Speech

[1]  K. Bretonnel Cohen,et al.  Last Words: Amazon Mechanical Turk: Gold Mine or Coal Mine? , 2011, CL.

[2]  Chris Callison-Burch,et al.  Creating Speech and Language Data With Amazon’s Mechanical Turk , 2010, Mturk@HLT-NAACL.

[3]  Alexander I. Rudnicky,et al.  Using the Amazon Mechanical Turk for transcription of spoken language , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[4]  Matthew Lease,et al.  Look before you leap: Legal pitfalls of crowdsourcing , 2011, ASIST.

[5]  Maxine Eskénazi,et al.  Toward better crowdsourced transcription: Transcription of a year of the Let's Go Bus Information System data , 2010, 2010 IEEE Spoken Language Technology Workshop.

[6]  Lydia B. Chilton,et al.  Task search in a human computation market , 2010, HCOMP '10.

[7]  George A. Akerlof The Market for “Lemons”: Quality Uncertainty and the Market Mechanism , 1970 .

[8]  Laurent Besacier,et al.  Automatic Speech Recognition for Under-Resourced Languages: Application to Vietnamese Language , 2009, IEEE Transactions on Audio, Speech, and Language Processing.

[9]  Bill Tomlinson,et al.  Who are the Turkers? Worker Demographics in Amazon Mechanical Turk , 2009 .

[10]  Ian McGraw,et al.  A self-transcribing speech corpus: collecting continuous speech with an online educational game , 2009, SLaTE.

[11]  Ian McGraw,et al.  A self-labeling speech corpus: collecting spoken words with an online educational game , 2009, INTERSPEECH.

[12]  Chris Callison-Burch,et al.  Cheap, Fast and Good Enough: Automatic Speech Recognition with Non-Expert Transcription , 2010, NAACL.

[13]  Benjamin B. Bederson,et al.  Web workers unite! addressing challenges of online laborers , 2011, CHI Extended Abstracts.

[14]  Brendan T. O'Connor,et al.  Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks , 2008, EMNLP.

[15]  Awais Rashid,et al.  Software Engineering Ethics in a Digital World , 2009, Computer.

[16]  Bengt Holmstrom,et al.  Moral Hazard and Observability , 1979 .

[17]  Benjamin B. Bederson,et al.  Human computation: a survey and taxonomy of a growing field , 2011, CHI.

[18]  Hermann Ney,et al.  Unsupervised training of acoustic models for large vocabulary continuous speech recognition , 2005, IEEE Transactions on Speech and Audio Processing.

[19]  A. Rustichini,et al.  Pay Enough or Don't Pay at All , 2000 .

[20]  David L. Chen and William B. Dolan,et al.  Building a Persistent Workforce on Mechanical Turk for Multilingual Data Collection , 2011 .

[21]  Aniket Kittur,et al.  CrowdForge: crowdsourcing complex work , 2011, CHI Extended Abstracts.

[22]  Solomon Teferra Abate,et al.  An Amharic speech corpus for large vocabulary continuous speech recognition , 2005, INTERSPEECH.

[23]  Udo Kruschwitz,et al.  Phrase Detectives: A Web-based collaborative annotation game , 2008 .

[24]  Norbert Reithinger,et al.  SpeechEval: A Domain-Independent User Simulation Platform for Spoken Dialog System Evaluation , 2011 .

[25]  Aniket Kittur,et al.  CrowdForge: crowdsourcing complex work , 2011, UIST.

[26]  Lydia B. Chilton,et al.  TurKit: human computation algorithms on mechanical turk , 2010, UIST.

[27]  Benoît Sagot,et al.  Crowdsourcing for Language Resource Development: Critical Analysis of Amazon Mechanical Turk Overpowering Use , 2011, LTC 2011.

[28]  Praveen Paritosh,et al.  The anatomy of a large-scale human computation engine , 2010, HCOMP '10.

[29]  Luis von Ahn Games with a Purpose , 2006, Computer.

[30]  J. Zittrain,et al.  Ubiquitous human computing , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[31]  Bill Tomlinson,et al.  Who are the crowdworkers?: shifting demographics in mechanical turk , 2010, CHI Extended Abstracts.

[32]  Laurent Besacier,et al.  Developments of Swahili resources for an automatic speech recognition system , 2012, SLTU.

[33]  Vincent Berment,et al.  Méthodes pour informatiser les langues et les groupes de langues « peu dotées ». (Methods to computerize "little equipped" languages and groups of languages) , 2004 .

[34]  Bill Tomlinson,et al.  Sellers' problems in human computation markets , 2010, HCOMP '10.