Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mia Vujović"'
Publikováno v:
Medicina, Vol 59, Iss 5, p 840 (2023)
Background and Objectives: Foot deformities are the basis of numerous disorders of the locomotor system. An optimized method of classification of foot deformities would enable an objective identification of the type of deformity since the current ass
Externí odkaz:
https://doaj.org/article/4a003384a744457c88b34a8c2f1f8428
Publikováno v:
Entropy, Vol 24, Iss 3, p 414 (2022)
Speaker recognition is an important classification task, which can be solved using several approaches. Although building a speaker recognition model on a closed set of speakers under neutral speaking conditions is a well-researched task and there are
Externí odkaz:
https://doaj.org/article/bfa0ba9560ea4ccb8a310f93b3a49240
Autor:
Siniša Suzić, Tijana Nosek, Milan Sečujski, Branislav Popović, Lidija Krstanović, Mia Vujović, Nikola Simić, Marko Janev, Nikša Jakovljević, Vlado Delić
Emotional speech recognition and synthesis of expressive speech are highly dependable on the availability of emotional speech corpora. In this paper, we present the creation and verification of the Serbian Emotional Amateur Cellphone Speech Corpus (S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3552ed15e3c76179f3548e441eac87dd
https://doi.org/10.21203/rs.3.rs-2062055/v1
https://doi.org/10.21203/rs.3.rs-2062055/v1
Autor:
Mia Vujović
Publikováno v:
Zbornik radova Fakulteta tehničkih nauka u Novom Sadu. 36:103-106
U sintezi ekspresivnog govora važno je generisati emocionalno obojen govor koji odražava kompleksnost emocionalnih stanja. Brojni TTS sistemi emocije u sintetizovanom govoru modeluju u vidu diskretnih skupova, ali tek kada se uzmu u obzir i varijac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6738ce53f58beb9340e7c8289c608991
https://doi.org/10.24867/11be18vujovic
https://doi.org/10.24867/11be18vujovic
Publikováno v:
Speech and Computer ISBN: 9783030878016
SPECOM
SPECOM
The paper proposes a method for controlling the level of expressiveness of speech synthesis by linear interpolation between neural network embeddings corresponding to neutral and fully emotional speech. The deep neural network based speech synthesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c01e284b98b6f18f3835fb665a622e
https://doi.org/10.1007/978-3-030-87802-3_43
https://doi.org/10.1007/978-3-030-87802-3_43