Automatic spoken language identification by digital signal processing methods. Tatar and Russian languages

dc.contributor.author	Latypov R.
dc.contributor.author	Nigmatullin R.
dc.contributor.author	Stolov E.
dc.date.accessioned	2018-04-05T07:10:09Z
dc.date.available	2018-04-05T07:10:09Z
dc.date.issued	2017
dc.identifier.issn	1865-0929
dc.identifier.uri	http://dspace.kpfu.ru/xmlui/handle/net/130237
dc.description.abstract	© Springer International Publishing AG 2017. The paper studies the problem of language identification for audio files. For solving the problem, we use methods of digital signal processing only (without analysis of phonemes distinctive for language). A special attention is drawn to the form of signal in an area close to the position of a stop consonant. The evaluation is performed on a set of two languages; this includes speech records taken from TV programs. It is provided that solely one of the two languages (either Tatar or Russian) is used in each of files. Experimental evidence demonstrates the feasibility of the proposed techniques.
dc.relation.ispartofseries	Communications in Computer and Information Science
dc.subject	Form of signal
dc.subject	Language identification
dc.subject	Tatar and Russian languages
dc.title	Automatic spoken language identification by digital signal processing methods. Tatar and Russian languages
dc.type	Conference Paper
dc.relation.ispartofseries-volume	756
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	539
dc.source.id	SCOPUS18650929-2017-756-SID85030866858

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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.