Pronađeno: 1-10 / 34 radova

Autori: Secujski Milan S

>> Filter: Samo Article i Review

Naslov HiFi-GAN based Text-to-Speech Synthesis in Serbian (Proceedings Paper)
Autori Suzic Sinisa B  Pekar Darko J  Secujski Milan S  Nosek Tijana V  Delic Vlado D 
Info 2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), (2022), vol. br. , str. 2231-2235
Projekat Science Fund of the Republic of Serbia [6524560]; AI-S-ADAPT; Serbian Ministry of Education, Science and Technological Development [45103-68/2020-14/200156]
Ispravka ISI/Web of Science  
Naslov HiFi-GAN based Text-to-Speech Synthesis in Serbian (Proceedings Paper)
Autori Suzic Sinisa B  Pekar Darko J  Secujski Milan S  Nosek Tijana V  Delic Vlado D 
Info 2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), (2022), vol. br. , str. 1178-1182
Projekat Science Fund of the Republic of Serbia [6524560]; Serbian Ministry of Education, Science and Technological Development [45103-68/2020-14/200156]
Ispravka ISI/Web of Science  
Naslov Impact of different voting strategies in CNN based speech emotion recognition (Proceedings Paper)
Autori Simic Nikola B  Suzic Sinisa B  Nosek Tijana V  Vujovic Mia  Secujski Milan S 
Info 2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), (2022), vol. br. , str. 1174-1177
Projekat Science Fund of the Republic of Serbia [6524560]
Ispravka ISI/Web of Science  
Naslov Text driven virtual speakers (Proceedings Paper)
Autori Obradovic Vladimir  Rajak Ilija  Secujski Milan S  Delic Vlado D 
Info 2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), (2022), vol. br. , str. 1170-1173
Projekat Science Fund of the Republic of Serbia [6524560, 2020-2022]
Ispravka ISI/Web of Science  
Naslov Overcoming Data Sparsity in Automatic Transcription of Dictated Medical Findings (Proceedings Paper)
Autori Pakoci Edvin T  Pekar Darko J  Popovic Branislav  Secujski Milan S  Delic Vlado D 
Info 2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), (2022), vol. br. , str. 454-458
Projekat Science Fund of the Republic of Serbia [6524560]; AI S-ADAPT; Technology Transfer Experiment Open Call 2020 under the DIH-HERO innovation action (EU Horizon 2020 programme) [825003]
Ispravka ISI/Web of Science  
Naslov Emotion recognition from speech based on ML algorithms applied on two Serbian datasets (Proceedings Paper)
Autori Djurkic Tijana  Lojanicic Aleksandra  Suzic Sinisa B  Popovic Branislav  Secujski Milan S  Nosek Tijana V 
Info 2021 29TH TELECOMMUNICATIONS FORUM (TELFOR), (2021), vol. br. , str. -
Projekat Science Fund of the Republic of Serbia [6524560]; AI -S -ADAPT; Serbian Ministry of Education, Science and Technological Development [451 03-68/202014/200156]
Ispravka ISI/Web of Science   Članak   Citati: ISI/Web of Science   Scopus  
Naslov Cross-Lingual Neural Network Speech Synthesis Based on Multiple Embeddings (Article)
Autori Nosek Tijana V  Suzic Sinisa B  Pekar Darko J  Obradovic Radovan J  Secujski Milan S  Delic Vlado D 
Info INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, (2021), vol. 7 br. 2, str. 110-120
Projekat Speech Morphing Systems Inc., Campbell, CA, United States of America; Science Fund of the Republic of Serbia [6524560]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov Central Audio-Library of the University of Novi Sad (Proceedings Paper)
Autori Delic Vlado D  Miskovic Dragisa M  Popovic Branislav  Secujski Milan S  Suzic Sinisa B  Delic Tijana V  Jakovljevic Niksa M 
Info INTELLIGENT DISTRIBUTED COMPUTING XIII, (2020), vol. 868 br. , str. 467-476
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia, within the project "Development of Dialogue Systems for Serbian and Other South Slavic Languages"; Provincial Secretariat for Higher Education and Scientific Research,
Ispravka ISI/Web of Science   Članak   Elečas   Citati: ISI/Web of Science   Scopus  
Naslov Speaker/Style-Dependent Neural Network Speech Synthesis Based on Speaker/Style Embedding (Article)
Autori Secujski Milan S  Pekar Darko J  Suzic Sinisa B  Smirnov Anton  Nosek Tijana V 
Info JOURNAL OF UNIVERSAL COMPUTER SCIENCE, (2020), vol. 26 br. 4, str. 434-453
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia [TR32035, 01178027]; Provincial Secretariat for Higher Education and Scientific Research of the Autonomous Province of Vojvodina (project CABUNS)
Ispravka ISI/Web of Science   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov DNN Based Expressive Text-to-Speech with Limited Training Data (Proceedings Paper)
Autori Suzic Sinisa B  Nosek Tijana V  Secujski Milan S  Pekar Darko J  Delic Vlado D 
Info 2019 27TH TELECOMMUNICATIONS FORUM (TELFOR 2019), (2019), vol. br. , str. 293-298
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia [TR 32035]; Provincial Secretariat for Higher Education and Scientific Research, within the project "Central Audio-Library of the University of Novi Sad" [114-451-2570/
Ispravka ISI/Web of Science   Citati: ISI/Web of Science   Scopus  
Ispis zapisa u formatu:TXT | BibTeX