Recent results in speech recognition for the tatar language

dc.contributor.author	Khusainov A.
dc.date.accessioned	2018-04-05T07:09:19Z
dc.date.available	2018-04-05T07:09:19Z
dc.date.issued	2017
dc.identifier.issn	0302-9743
dc.identifier.uri	http://dspace.kpfu.ru/xmlui/handle/net/129650
dc.description.abstract	© Springer International Publishing AG 2017. This paper presents a comparative study of several different systems for speech recognition for the Tatar language, including systems for very large and unlimited vocabularies. 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 with the sub-word based language model 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 modeling
dc.subject	Language modeling
dc.subject	Speech recognition
dc.subject	Tatar language
dc.title	Recent results in speech recognition for the tatar language
dc.type	Conference Paper
dc.relation.ispartofseries-volume	10415 LNAI
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	183
dc.source.id	SCOPUS03029743-2017-10415-SID85028653356

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.