Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tadej Justin"'
Publikováno v:
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 3, Iss 2 (2015)
V prispevku predstavljamo graditev slovenske zbirke čustvenega govora za umetno tvorjenje govora in hkrati raziščemo tudi možnosti njene uporabe pri razpoznavanju čustvenega stanja govorca. V prispevku se osredotočamo na opis razvite metodologi
Externí odkaz:
https://doaj.org/article/49c2f7ed884d4a539aaab7e7389279fb
Publikováno v:
Sodobne informacijske tehnologije in storitve.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::353b6b99cd79a7b613bfcf5f6f4e2414
https://doi.org/10.18690/978-961-286-162-9.17
https://doi.org/10.18690/978-961-286-162-9.17
Publikováno v:
Automatika. 57:268-281
Nowadays Human Computer Interaction (HCI) can also be achieved with voice user interfaces (VUIs). To enable devices to communicate with humans by speech in the user's own language, low-cost language portability is often discussed and analysed. One of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ac8595ef0abc7dc56e08a79e850d8de
https://doi.org/10.7305/automatika.2016.07.1084
https://doi.org/10.7305/automatika.2016.07.1084
Publikováno v:
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 3, Iss 2, Pp 1-44 (2015)
The paper describes development of the Slovenian emotional speech database for its primary use in speech synthesis. We also explore the potential of additional annotation for extending it for the use in emotion recognition tasks. The paper focus in m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::12d819f3bef9f0f9d4dc9b40548de30f
http://www.trojina.org/slovenscina2.0/arhiv/2015/2/Slo2.0_2015_2_01.pdf
http://www.trojina.org/slovenscina2.0/arhiv/2015/2/Slo2.0_2015_2_01.pdf
Publikováno v:
FG
The paper addresses the problem of speaker (or voice) de-identification by presenting a novel approach for concealing the identity of speakers in their speech. The proposed technique first recognizes the input speech with a diphone recognition system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b81cacb5279c87a16667b229de01499
https://doi.org/10.1109/fg.2015.7285021
https://doi.org/10.1109/fg.2015.7285021
Publikováno v:
Text, Speech and Dialogue ISBN: 9783319108155
TSD
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The paper presents and evaluates a speaker de-identification technique using speech recognition and two speech synthesis techniques. The phoneme recognition system is built using HMM-based acoustical models of context-dependent diphone speech units,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f4e882b13770929049149e549302194
https://doi.org/10.1007/978-3-319-10816-2_64
https://doi.org/10.1007/978-3-319-10816-2_64
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783642405846
TSD
ResearcherID
TSD
ResearcherID
We compare the performance of two approaches when using cross-lingual data from different speakers to build bilingual speech synthesis systems capable of producing speech with the same speaker identity. One approach treats data from both languages as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e7e40bd54e0652a0694e269a78c5712
https://doi.org/10.1007/978-3-642-40585-3_7
https://doi.org/10.1007/978-3-642-40585-3_7
Publikováno v:
Text, Speech and Dialogue ISBN: 9783642327896
TSD
TSD
In this paper we investigate a bilingual HMM-based speech synthesis developed for Slovenian and Croatian languages. The primary goals of this research are to investigate the performance of an HMM-based synthesis build from two similar languages and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82a0f211f2ff025c148753f28839f8e8
https://doi.org/10.1007/978-3-642-32790-2_66
https://doi.org/10.1007/978-3-642-32790-2_66
Publikováno v:
Scopus-Elsevier
INTERSPEECH
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61544c6713044d98fc9d93d145da4ba4
http://www.scopus.com/inward/record.url?eid=2-s2.0-79959823933&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-79959823933&partnerID=MN8TOARS