Tijana Nosek, MSc, is a PhD student at the Faculty of technical sciences, University of Novi Sad, Serbia, where she is also employed as a teaching assistant on subjects related to machine learning and digital signal processing. Her research areas include signal processing and machine learning with applications in speech technologies and medicine. She is involved in several national and international projects related to speech technologies. Tijana is author of several journal and conference papers focused mainly to speech synthesis based on deep neural networks, but she also worked on different signal processing problems through international challenges. Working with students on different machine learning projects.
() Research published in the international journal
Perić Z., Suzić S., Delić T., Simić N.: Support Region of Semilogarithmic Quantizer for Laplacian Source, Elektronika Ir Elektrotechnika, 2018, Vol. 24, No 4, pp. 64-67, ISSN 1392-1215
() Report from the international meeting printed in its entirety
Suzić S., Delić T., Jovanović V., Sečujski M., Pekar D., Delić V.: A comparison of multi-style DNN-based TTS approaches using small datasets, 13. International Conference on Electromechanics and Robotics - ER(ZR), Saint Petersburg: SUAI & SPIIRAS, 18-21 April, 2018
() Report from the international meeting printed in its entirety
Delić T., Suzić S., Sečujski M., Pekar D.: Rapid Development of New TTS Voices by Neural Network Adaptation, 17. Infoteh-Jahorina, Jahorina, 21-23 Mart, 2018
() Report from the international meeting printed in its entirety
Delić T., Suzić S., Sečujski M., Ostojić V.: Deep neural network speech synthesis based on adaptation to amateur speech data, 5. International Conference on Electrical, Electronic and Computing Engineering IcETRAN, Palić, 11-14 Jun, 2018
() Report from the international meeting printed in its entirety
Suzić S., Delić T., Pekar D., Ostojić V.: Novel alignment method for DNN TTS training using HMM synthesis models, 15. IEEE International Symposium on Intelligent Systems and Informatics (SISY), Subotica, 2017, pp. 271-276, ISBN 978-1-5386-3854-5
() Report from the international meeting printed in its entirety
Delić T., Gerazov B., Popović B., Sečujski M.: A Linguistic Interpretation of the Atom Decomposition of Fundamental Frequency Contour for American English, 18. SPECOM, Speech and Computer, Budimpešta: Springer, 23-27 Avgust, 2016, pp. 59-66, ISBN 978-3-319-43957-0
() Report from the international meeting printed in its entirety
Delić T., Šarić Ž., Žunić A., Zrnić T., Knežević M., Despotović D.: Improving Location-Of-Recording Classificationusing Electric Network Frequency (ENF) Analysis, 14. IEEE International Symposium on Intelligent Systems and Informatics (SISY), Subotica: IEEE Hungary Section, 29-31 Avgust, 2016, pp. 51-56, ISBN 978-1-5090-2866-5
() Report from the international meeting printed in its entirety
Delić T., Đurić S., Jošić S.: Poređenje ljudskog i automatskog prepoznavanja govornika u slučaju imitacija, 23. Telekomunikacioni forum TELFOR, Beograd: Društvo za telekomunikacije, 24-26 Novembar, 2015, pp. 425-428, ISBN 978-1-5090-0054-8
() Research published in the journal of the national importance
Delić T., Sečujski M., Suzić S.: A Review of Serbian Parametric Speech Synthesis Based on Deep Neural Networks DOI: 10.5937/telfor1701032D, TELFOR Journal, 2017, Vol. 9, No 1, pp. 32-37, ISSN 1821-3251
() Report from the meeting of the national importance printed in its entirety
Delić T., Suzić S., Ostrogonac S., Kašterović S., Pekar D.: Multi-style Statistical Parametric TTS, 11. DOGS, Digitalna obrada govora i slike, Novi Sad: Fakultet tehničkih nauka, Novi Sad, 22-25 Novembar, 2017, ISBN 978-86-7892-993-9, UDK: 004.932/.934(082)
