Roman Jarina

765 total citations
57 papers, 445 citations indexed

About

Roman Jarina is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Roman Jarina has authored 57 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Signal Processing, 24 papers in Artificial Intelligence and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Roman Jarina's work include Speech and Audio Processing (37 papers), Music and Audio Processing (29 papers) and Speech Recognition and Synthesis (17 papers). Roman Jarina is often cited by papers focused on Speech and Audio Processing (37 papers), Music and Audio Processing (29 papers) and Speech Recognition and Synthesis (17 papers). Roman Jarina collaborates with scholars based in Slovakia, Ireland and Pakistan. Roman Jarina's co-authors include Maroš Jakubec, Eva Lieskovská, Patrik Kamencay, Noel E. O’Connor, Seán Marlow, Noel Murphy, Peter Počta, Róbert Hudec, Miroslav Benčo and Jozef Juhár and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Engineering Applications of Artificial Intelligence.

In The Last Decade

Roman Jarina

55 papers receiving 419 citations

Peers

Countries citing papers authored by Roman Jarina

Since Specialization

Citations

This map shows the geographic impact of Roman Jarina'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 Roman Jarina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Jarina more than expected).

Fields of papers citing papers by Roman Jarina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roman Jarina. 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 Roman Jarina. The network helps show where Roman Jarina may publish in the future.

Co-authorship network of co-authors of Roman Jarina

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Jarina. A scholar is included among the top collaborators of Roman Jarina 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 Roman Jarina. Roman Jarina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Speech Emotion Recognition Using Transfer Learning: Integration of Advanced Speaker Embeddings and Image Recognition Models 2024 ·Applied Sciences ·Maroš Jakubec, Eva Lieskovská, Roman Jarina, (unknown), (unknown)	1
2	Hybrid binaural singing voice separation 2023 ·(unknown), Roman Jarina, (unknown), Maroš Jakubec	1
3	Speech Command Recognition Based on Convolutional Spiking Neural Networks 2023 ·(unknown), Maroš Jakubec, Roman Jarina	4
4	Frequency Response of Smartphones at the Upper Limit of the Audible Range 2022 ·(unknown), (unknown), Roman Jarina, Peter Brída	7
5	Speaker Recognition with ResNet and VGG Networks 2021 ·Maroš Jakubec, Eva Lieskovská, Roman Jarina	8
6	Music information retrieval for educational purposes - an overview 2020 ·(unknown), Roman Jarina, (unknown)	4
7	Acoustic surveillance system for children’s emotion detection 2019 ·Eva Lieskovská, Maroš Jakubec, Roman Jarina	1
8	An impact of wideband speech codec mismatch on a performance of GMM-UBM speaker verification over telecommunication channel 2016 ·(unknown), Peter Počta, Roman Jarina	3
9	Influence of packet loss on a speaker verification system over IP network 2016 ·(unknown), Peter Počta, Roman Jarina	2
10	UNIZA System for the "Emotion in Music" task at MediaEval 2015. 2015 ·MediaEval ·(unknown), (unknown), (unknown), Roman Jarina	7
11	UNIZA @ Mediaeval 2014 Visual Privacy Task: Object Transparency Approach. 2014 ·MediaEval ·(unknown), Roman Jarina	1
12	UNIZA System for the Spoken Web Search Task at MediaEval2013 2013 ·MediaEval ·Roman Jarina, (unknown), (unknown), (unknown), (unknown)	6
13	Universal approach for sequential audio pattern search 2013 ·Federated Conference on Computer Science and Information Systems ·(unknown), (unknown), Roman Jarina	3
14	Improved Depth Map Estimation from Stereo Images based on Hybrid Method 2012 ·SHILAP Revista de lepidopterología ·Patrik Kamencay, (unknown), Roman Jarina, (unknown), (unknown)	25
15	Bio-inspired optimization of acoustic features for generic sound recognition 2012 ·International Conference on Systems, Signals and Image Processing ·(unknown), Roman Jarina	4
16	Depth map computation using hybrid segmentation algorithm 2011 ·Patrik Kamencay, (unknown), Roman Jarina, (unknown)	4
17	VOICE OPERATED INFORMATION SYSTEM IN SLOVAK 2007 ·Computing and Informatics / Computers and Artificial Intelligence ·Jozef Juhár, Anton Čižmár, (unknown), (unknown), Gregor Rozinaj, Roman Jarina	6
18	Development of slovak GALAXY/voiceXML based spoken language dialogue system to retrieve information from the internet 2006 ·Jozef Juhár, Stanislav Ondáš, Anton Čižmár, (unknown), Gregor Rozinaj, Roman Jarina	14
19	An experiment in audio classification from compressed data 2004 ·Arrow@dit (Dublin Institute of Technology) ·Roman Jarina, Noel E. O’Connor, Noel Murphy, Seán Marlow	5
20	Rhythm detection for speech-music discrimination in MPEG compressed domain 2003 ·Roman Jarina, Noel E. O’Connor, Seán Marlow, (unknown)	13

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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