Milan Sečujski

420 total citations
36 papers, 213 citations indexed

About

Milan Sečujski is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Milan Sečujski has authored 36 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 13 papers in Signal Processing and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Milan Sečujski's work include Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (14 papers) and Speech and Audio Processing (12 papers). Milan Sečujski is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (14 papers) and Speech and Audio Processing (12 papers). Milan Sečujski collaborates with scholars based in Serbia, Slovakia and United States. Milan Sečujski's co-authors include Vesna Crnojević‐Bengin, Vlado Delić, Nikša Jakovljević, Zoran Perić, Milan Gnjatović, Jelena Nikolić, Nader Engheta, Slobodan T. Jovičić, V. Šenk and Marko Janev and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters A and New Journal of Physics.

In The Last Decade

Milan Sečujski

29 papers receiving 199 citations

Peers

Milan Sečujski
Ruichen Li China
Jianguo Yu China
Yangjun Ou China
Yong-Ho Seo South Korea
Zhiyuan Guo China
Michael Syskind Pedersen Denmark
Luis Vicente Spain
Rui Xia China
Jingjing Cai China
Ziyi Xu China
Ruichen Li China
Milan Sečujski
Citations per year, relative to Milan Sečujski Milan Sečujski (= 1×) peers Ruichen Li

Countries citing papers authored by Milan Sečujski

Since Specialization
Citations

This map shows the geographic impact of Milan Sečujski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Milan Sečujski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Sečujski more than expected).

Fields of papers citing papers by Milan Sečujski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milan Sečujski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Milan Sečujski. The network helps show where Milan Sečujski may publish in the future.

Co-authorship network of co-authors of Milan Sečujski

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Sečujski. A scholar is included among the top collaborators of Milan Sečujski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Milan Sečujski. Milan Sečujski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Delić, Vlado, et al.. (2023). Cross-lingual Text-to-Speech with Prosody Embedding. i. 1–5.
2.
Sečujski, Milan, et al.. (2022). Impact of different voting strategies in CNN based speech emotion recognition. 2022 30th European Signal Processing Conference (EUSIPCO). 1174–1177. 1 indexed citations
3.
Sečujski, Milan, et al.. (2022). Overcoming Data Sparsity in Automatic Transcription of Dictated Medical Findings. 2022 30th European Signal Processing Conference (EUSIPCO). 454–458.
4.
Sečujski, Milan, et al.. (2022). HiFi-GAN based Text-to-Speech Synthesis in Serbian. 2022 30th European Signal Processing Conference (EUSIPCO). 2231–2235.
5.
Sečujski, Milan, et al.. (2021). Cross-Lingual Neural Network Speech Synthesis Based on Multiple Embeddings.. International Journal of Interactive Multimedia and Artificial Intelligence. 7(2). 110–120. 3 indexed citations
6.
Sečujski, Milan, et al.. (2020). Speaker/Style-Dependent Neural Network Speech Synthesis Based on Speaker/Style Embedding. JUCS - Journal of Universal Computer Science. 26(4). 434–453. 4 indexed citations
7.
Sečujski, Milan, et al.. (2019). Morphology-based vs Unsupervised Word Clustering for Training Language Models for Serbian. Acta Polytechnica Hungarica. 16(2). 8 indexed citations
8.
Sečujski, Milan, et al.. (2019). DNN Based Expressive Text-to-Speech with Limited Training Data. 1–6. 3 indexed citations
9.
Sečujski, Milan, et al.. (2018). A comparison of multi-style DNN-based TTS approaches using small datasets. SHILAP Revista de lepidopterología. 161. 3005–3005. 2 indexed citations
10.
Sečujski, Milan, et al.. (2018). Rapid development of new TTS voices by neural network adaptation. 1–6. 3 indexed citations
11.
Sečujski, Milan, et al.. (2017). A review of Serbian parametric speech synthesis based on deep neural networks. SHILAP Revista de lepidopterología. 9(1). 32–37. 5 indexed citations
12.
Sečujski, Milan, et al.. (2015). Educational Applications for Blind and Partially Sighted Pupils Based on Speech Technologies for Serbian. The Scientific World JOURNAL. 2015(1). 839252–839252. 7 indexed citations
13.
Sečujski, Milan, et al.. (2014). Novel negative mass density resonant metamaterial unit cell. Physics Letters A. 379(1-2). 33–36. 30 indexed citations
14.
Sečujski, Milan, et al.. (2014). Compressibility-near-zero acoustic metamaterial. Physics Letters A. 378(16-17). 1153–1156. 19 indexed citations
15.
Gnjatović, Milan, et al.. (2013). Application of dimensional emotion model in automatic emotional speech recognition. 353–356. 5 indexed citations
16.
Janev, Marko, et al.. (2012). A novel split-and-merge algorithm for hierarchical clustering of Gaussian mixture models. Applied Intelligence. 37(3). 377–389. 7 indexed citations
17.
Perić, Zoran, et al.. (2012). Comparative Analysis of the Performance of Different Codecs in a Live VoIP Network using SIP Protocol. Elektronika ir Elektrotechnika. 117(1). 37–42. 5 indexed citations
18.
Sečujski, Milan, et al.. (2012). Impact of training corpus size on the quality of different types of language models for Serbian. 18. 720–723. 3 indexed citations
19.
Delić, Vlado, et al.. (2009). Transformation-based part-of-speech tagging for Serbian language. Computational intelligence. 98–103. 3 indexed citations
20.
Sečujski, Milan. (2005). Obtaining Prosodic Information from Text in Serbian Language. 1654–1657. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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