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Ruslan: Russian spoken language corpus for speech synthesis

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

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