Dr Nikša Jakovljević received B.Sc. with Highest Honour, M.Sc., and Ph.D. degrees in electrical engineering from the Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia in 2002, 2009 and 2014 respectively. He is now associate professor at Faculty of Technical Sciences, University of Novi Sad, Serbia. He has authored over 40 refereed publications in journals and in international conferences, and actively participates in the review process of many related journal and conference proceedings. His research interests include digital (audio) signal processing and machine learning. He gained his research experience through several research and development project in automatic speech and speaker recognition, and through collaboration with AlfaNum Speech Technologies – the leading Serbian company in automatic speech recognition and synthesis in Serbian. Through this collaborative work with the software development company, he learned and used scrum methodology. He has 69 citations (excluding self-citations) and his h-index is 6 according to SCOPUS. He was leading member of the team who won 2nd prize in Scientific Challenge on Respiratory Signal Processing organized by International Federation for Medical and Biological Engineering, in 2017. He was the advisor of the awarded team in IEEE Signal Processing Cup 2016.
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Popović B., Janev M., Pekar D., Jakovljević N., Gnjatović M., Sečujski M., Delić V.: A Novel Split-and-Merge Algorithm for Hierarchical Clustering of Gaussian Mixture Models Applied Intelligence ISSN: 0924-669X (Print) 15 Vol. 37, No. 3 (2012), str. 377-389, Springer-Verlag New York, Inc.;
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Rocha B., Filos D., Mendes L., Serbes G., Ulukaya S., Kahya Y., Jakovljević N., Lončar-Turukalo T., Vogiatzis I., Perantoni E., Kaimakamis E., Natsiavas P., Oliveira A., Jácome C., Marques A., Maglaveras N., Paiva R., Chouvarda I., de Carvalho P.: An open access database for the evaluation of respiratory sound classification algorithms , Physiological Measurement, 2019, Vol. 40, No. 3, ISSN 0967-3334
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Delić V., Perić Z., Sečujski M., Jakovljević N., Nikolić J., Mišković D., Simić N., Suzić S., Nosek (Delić) T.: Speech technology progress based on new machine learning paradigm, Computational Intelligence and Neuroscience, 2019, Vol. 2019, pp. 1-19, ISSN 1687-5265
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Zanin M., Ivanoska I., Güntekin B., Yener G., Lončar-Turukalo T., Jakovljević N., Šveljo O., Papo D.: A Fast Transform for Brain Connectivity Difference Evaluation, Neuroinformatics, 2021, ISSN 1539-2791
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Mišković D., Gnjatović M., Štrbac P., Trenkić B., Jakovljević N., Delić V.: Hybrid methodological approach to context-dependent speech recognition, DOI: 10.1177/1729881416687131, International Journal of Advanced Robotic Systems, 2017, Vol. 14, No 1, str. 1-12, ISSN 1729-8806
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Jakovljević N., Mišković D., Janev M., Sečujski M., Delić V.: Comparison of Linear Discriminant Analysis Approaches in Automatic Speech Recognition, DOI: 10.5755/j01.eee.19.7.5167, Elektronika Ir Elektrotechnika, 2013, Vol. 19, No 7, str. 76-79, ISSN 1392-1215
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Janev M., Jakovljević N., Pekar D., Delić V.: Eigenvalues Driven Gaussian Selection in continuous speech recognition using HMMs with full covariance matrices, http://dx.doi.org/10.1007/s10489-008-0152-9, Applied Intelligence, 2010, Vol. 33, No 2, pp. 107-116, ISSN 0924-669X
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Delić V., Gnjatović M., Jakovljević N., Popović B., Jokić I., Bojanić M.: User-awareness and adaptation in conversational agents (invited), DOI: 10.2298/FUEE1403375D, Facta universitatis - series: Electronics and Energetics, 2014, Vol. 27, No 3, str. 375-387, ISSN 0353-3670
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Jakovljević N.: Gaussian Mixture Model with Precision Matrices Approximated by Sparsely Represented Eigenvectors, 22. Telekomunikacioni forum TELFOR, Beograd, 25-27 Novembar, 2014, str. 435-440, ISBN 978-1-4799-6190-0
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Delić V., Sečujski M., Jakovljević N., Mišković D.: Assistive character of voice technology, 6. Speech and Language, Beograd: IEPSP&LAAC, 13-14 Novembar, 2009, str. 18-26, ISBN 978-86-89431-24-7
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Jakovljević N., Mišković D., Trpovski Ž.: Evaluation of noise estimation algorithms based on minimum statistics and signal to noise ratio DOI:10.1109/TELFOR.2016.7818811, 24. Telekomunikacioni forum TELFOR, Beograd: IEEE, 22-23 Novembar, 2016, str. 419-422, ISBN 978-86-7466-649-4
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Pakoci E., Popović B., Jakovljević N., Pekar D., Yassa F.: A Phonetic Segmentation Procedure Based on Hidden Markov Models, 18. SPECOM International Conference on Speech and Computer, Budimpešta: Springer, 23-27 Avgust, 2016, str. 67-74, ISBN 978-3-319-43957-0
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Popović B., Ostrogonac S., Pakoci E., Jakovljević N., Delić V.: Deep Neural Network Based Continuous Speech Recognition for Serbian Using the Kaldi Toolkit, Lecture Notes in Computer Science, 2015, Vol. 9319, pp. 186-192, ISSN 0302-9743, 17. SPECOM International Conference on Speech and Computer, Athens: Springer, 20-24 Septembar, 2015, str. 186-192, ISBN 978-3-319-23131-0
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Pakoci E., Popović B., Jakovljević N., Pekar D., Yassa F.: A Phonetic Segmentation Procedure Based on Hidden Markov Models, 18. SPECOM International Conference on Speech and Computer, Budimpešta: Springer, 23-27 Avgust, 2016, str. 67-74, ISBN 978-3-319-43957-0
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Jakovljević N., Mišković D., Trpovski Ž.: Poređenje karakteristika nekoliko metoda za detekciju govorne aktivnosti http://infoteh.etf.unssa.rs.ba/zbornik/2017/radovi/KST-2/KST-2-6.pdf, 16. Infoteh-Jahorina, Jahorina: Univerzitet u Istočnom Sarajevu, Elektrotehnički fakultet., 22-24 Mart, 2017, str. 211-216, ISBN 978-99976-710-0-4
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Jakovljević N., Lončar-Turukalo T.: Hidden Markov Model Based Respiratory Sound Classification https://doi.org/10.1007/978-981-10-7419-6_7 , IFMBE Proceedings, 2017, Vol. 66 ISSN 1680-0737, 3. International conference on Biomedical and Health Informatics ICBHI, Solun: Springer, 18-21 Novembar, 2017, str. 39-43, ISBN 978-981-10-7419-6
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Jakovljević N., Jokić I., Jošić S., Delić V.: A Comparison of Covariance Matrix and i-vector Based Speaker Recognition. https://link.springer.com/chapter/10.1007/978-3-319-66429-3_3, Lecture notes in computer science, 2017, ISSN 0302-9743, 19. SPECOM International Conference on Speech and Computer, Hatfield: Springer, 12-16 Septembar, 2017, str. 37-45, ISBN 978-3-319-66428-6
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Popović B., Ostrogonac S., Pakoci E., Jakovljević N., Delić V.: Deep Neural Network Based Continuous Speech Recognition for Serbian Using the Kaldi Toolkit, Lecture notes in computer science, 2015, Vol. 9319, ISSN 0302-9743, 17. SPECOM International Conference on Speech and Computer, Athens: Springer, 20-24 Septembar, 2015, str. 186-192, ISBN 978-3-319-23131-0
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Popović B., Pakoci E., Jakovljević N., Kočiš G., Pekar D.: Voice Assistant Application for the Serbian Language, 23. Telekomunikacioni forum TELFOR, Beograd: IEEE,Telecommunications Society, 24-26 Novembar, 2015, str. 858-861, ISBN 978-1-5090-0054-8
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Pakoci E., Jakovljević N., Popović B., Mišković D., Pekar D.: Speaker Detection Using Phoneme Specific Hidden Markov Models, Springer-Verlag, Lecture Notes in Computer Science, 2014, Vol. 8773, 16. SPECOM International Conference on Speech and Computer, Novi Sad: Springer, 5-9 Oktobar, 2014, str. 410-417, ISBN 978-3-319-11580-1
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Delić V., Sečujski M., Jakovljević N., Pekar D., Mišković D., Popović B., Ostrogonac S., Bojanić M., Knežević D.: Speech and Language Resources within Speech Recognition and Synthesis Systems for Serbian and Kindred South Slavic Languages, Lecture notes in computer science, 2013, No LNAI 8113, ISSN 0302-9743, 15. SPECOM International Conference on Speech and Computer, Plzeň: Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic, St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, 1-5 Septembar, 2013, str. 319-326, ISBN 978-3-319-01930-7
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Pecić M., Jakovljević N., Sečujski M.: Poboljšanje kvaliteta govornog signala primenom Vinerovog filtra, 2. International Conference TAKTONS, Novi Sad: Fakultet tehničkih nauka , 13-16 Novembar, 2013, str. 112-115, ISBN 978-86-7892-555-9, UDK: COBISS.SR-ID 281529607
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Đurković M., Jakovljević N., Sečujski M.: Metoda fonteske segmentacije govornog signala nezavisna od teksta , 2. International Conference TAKTONS, Novi Sad: Fakultet tehničkih nauka, 13-16 Novembar, 2013, str. 116-119, ISBN 978-86-7892-555-9, UDK: COBISS.SR-ID 281529607
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Popović B., Pakoci E., Jakovljević N., Pekar D., Ostrogonac S.: A Robust Voice Activity Detection in Voice Assistant Application, 3. International Conference TAKTONS, Novi Sad: Fakultet tehničkih nauka, Univerzitet u Novom Sadu, 18-21 Novembar, 2015, str. 38-39, ISBN 978-68-7892-758-4
() Additional textbook for the course
Sečujski M., Delić V., Jakovljević N., Radić I.: Zbirka zadataka iz digitalne obrade signala, Novi Sad, Fakultet tehničkih nauka, 2007. 180 str. ISBN 978-86-7892-082-0
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Jakovljević N., Sečujski M., Suzić S., Delić V.: Praktikum iz digitalne obrade signala, Novi Sad, Fakultet tehničkih nauka, 2016, 118 str. ISBN 978-86-7892-811-6
