Design of Annotation system of Russian Speech Corpus Based on Crowdsourcing

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.