A comparative analysis of speech recognition systems for the tatar language

dc.contributor.author	Khusainov A.
dc.date.accessioned	2019-01-22T20:36:48Z
dc.date.available	2019-01-22T20:36:48Z
dc.date.issued	2018
dc.identifier.issn	0302-9743
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/147966
dc.description.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.
dc.relation.ispartofseries	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subject	Acoustic modelling
dc.subject	Language modelling
dc.subject	Speech recognition
dc.subject	Tatar language
dc.title	A comparative analysis of speech recognition systems for the tatar language
dc.type	Conference Paper
dc.relation.ispartofseries-volume	10761 LNCS
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	515
dc.source.id	SCOPUS03029743-2018-10761-SID85055413364

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Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.