Results

eNauka >  Rezultati >  Cross-Lingual Neural Network Speech Synthesis Based on Multiple Embeddings
Naziv: Cross-Lingual Neural Network Speech Synthesis Based on Multiple Embeddings
Autori: Nosek, Tijana V.  ; Suzić, Siniša B.  ; Pekar, Darko J.; Obradović, Radovan J.; Sečujski, Milan S.  ; Delić, Vlado D.  
Godina: 2021
Publikacija: INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE
ISSN: 1989-1660 International Journal of Interactive Multimedia and Artificial Intelligence Pretraži identifikator
Izdavač: Logroño, Spain : Universidad Internacional de la Rioja
Tip rezultata: Naučni članak
Kolacija: vol. 7 br. 2 str. 110-120
DOI: 10.9781/ijimai.2021.11.005
WoS-ID: 000724919200011
Scopus-ID: 2-s2.0-85121056489
URI: https://enauka.gov.rs/handle/123456789/814639
Projekat: Speech Morphing Systems Inc., Campbell, CA, United States of America
S-ADAPT - Speaker/Style Adaptation for Digital Voice Assistants Based on Image Processing Methods
Izvor metapodataka: (Preuzeto iz Nasi u WoS)
M-kategorija: 
21M21 - Vodeći međunarodni časopis kategorije M21

9
SCOPUSTM
1
OpenCitations
4
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.