Ruslan: Russian spoken language corpus for speech synthesis

dc.contributor.author	Gabdrakhmanov L.
dc.contributor.author	Garaev R.
dc.contributor.author	Razinkov E.
dc.date.accessioned	2020-01-15T21:18:07Z
dc.date.available	2020-01-15T21:18:07Z
dc.date.issued	2019
dc.identifier.issn	0302-9743
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/155609
dc.description.abstract	© Springer Nature Switzerland AG 2019. We present RUSLAN – a new open Russian spoken language corpus for the text-to-speech task. RUSLAN contains 22200 audio samples with text annotations – more than 31 h of high-quality speech of one person – being the largest annotated Russian corpus in terms of speech duration for a single speaker. We trained an end-to-end neural network for the text-to-speech task on our corpus and evaluated the quality of the synthesized speech using Mean Opinion Score test. Synthesized speech achieves 4.05 score for naturalness and 3.78 score for intelligibility on a 5-point MOS scale.
dc.relation.ispartofseries	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subject	End-to-end speech synthesis
dc.subject	Russian speech corpus
dc.subject	Text-to-speech
dc.title	Ruslan: Russian spoken language corpus for speech synthesis
dc.type	Conference Paper
dc.relation.ispartofseries-volume	11658 LNAI
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	113
dc.source.id	SCOPUS03029743-2019-11658-SID85071437125

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