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Phonetic Transcription by Untrained Annotators

Publication at Faculty of Mathematics and Physics |
2018

Abstract

The paper presents an application for lay, untrained users to generate high-quality, aligned phonetic transcription of speech. The application has been in use for several years and has served to transcribe over 600 thousand word forms over two versions of a web interface.

We present measures for compensating the lack of expert training.