Crowd translator

Author:

Ledlie Jonathan1,Odero Billy2,Minkov Einat1,Kiss Imre1,Polifroni Joseph1

Affiliation:

1. Nokia Research, Cambridge, MA

2. Nokia Research, Nairobi, Kenya

Abstract

We present a method to expand the number of languages covered by simple speech recognizers. Enabling speech recognition in users' primary languages greatly extends the types of mobile-phone-based applications available to people in developing regions. We describe how we expand language corpora through user-supplied speech contributions, how we quickly evaluate each contribution, and how we pay contributors for their work.

Publisher

Association for Computing Machinery (ACM)

Reference19 articles.

1. Amazon Mechanical Turk. http://mturk.com. Amazon Mechanical Turk. http://mturk.com.

2. SETI@home

3. Asterisk. http://asterisk.org. Asterisk. http://asterisk.org.

4. Macrophone: an American English telephone speech corpus for the Polyphone project

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1. Coimagining the Future of Voice Assistants with Cultural Sensitivity;Human Behavior and Emerging Technologies;2024-03-25

2. Quality and Acceptance of Crowdsourced Translation of Web Content;Crowdsourcing;2019

3. Quality and Acceptance of Crowdsourced Translation of Web Content;Social Entrepreneurship;2019

4. A proposed genome of mobile and situated crowdsourcing and its design implications for encouraging contributions;International Journal of Human-Computer Studies;2017-06

5. Respeak;Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems;2017-05-02

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