Design of Annotation system of Russian Speech Corpus Based on Crowdsourcing

DOI

10.2991/icmemtc-16.2016.49How to use a DOI?

Keywords

Russian Speech Corpus; Annotation system; Crowdsourcing.

Abstract

Transliteration annotation in Russian speech recognition corpus has been always a problem which is difficult to resolve due to its time consuming, low efficiency and difficulty in personnel and quality control. This paper presents a technology based on crowdsourcing, designs the crowdsourcing platform within LAN and calls Russian majors to finish the large-scale corpus transliteration annotation task in a short time. After analysis and comparison, the results are comparable to those of the traditional methods. It provides a reference for improving the efficiency of speech corpus transliteration annotation and puts forward suggestions on improvements of some problems.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yanzhou Ma
PY  - 2016/04
DA  - 2016/04
TI  - Design of Annotation system of Russian Speech Corpus Based on Crowdsourcing
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 257
EP  - 261
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.49
DO  - 10.2991/icmemtc-16.2016.49
ID  - Ma2016/04
ER  -