A comparative analysis of speech recognition systems for the tatar language

Abstract

© Springer Nature Switzerland AG 2018. This paper presents a comparative study of several different approaches to speech recognition for the Tatar language. All the compared systems use a corpus-based approach, so recent results in speech and text corpora creation are also shown. The recognition systems differ in acoustic modelling algorithms, basic acoustic units, and language modelling techniques. The DNN-based system shows the best recognition result obtained on the test part of speech corpus.