Miloš Cerňak

872 citations
61 papers · 492 · h-index 14

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Speech and dialogue systems

Papers in

    • Speech Recognition and Synthesis 48
    • Natural Language Processing Techniques 7
    • Speech and dialogue systems 6
    • Speech and Audio Processing 40
    • Music and Audio Processing 23

Miloš Cerňak

55 papers receiving 434 citations

Peers

Miloš Cerňak
Comparison fields: 5 of 55
  • Signal Processing 281
  • Artificial Intelligence 360
  • Experimental and Cognitive Psychology 122
  • Physiology 85
  • Computer Vision and Pattern Recognition 63
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Citations per field
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Citations per year

Countries citing papers authored by Miloš Cerňak

Since Specialization
Citations

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

Fields of papers citing papers by Miloš Cerňak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Miloš Cerňak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Miloš Cerňak Line = papers co-authored together Miloš Cerňak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201741
2 201937
3 201726
4 201224
5 202022
6 201921
7 201620
8 202220
9 201119
10 201816
11 201516
12 201715
13 201314
14 201513
15 201612
16 201612
17 201611
18
A Comparison of Decision Tree Classifiers for Automatic Diagnosis of Speech Recognition Errors.
201210
19
Reading Companion: The Technical and Social Design of an Automated Reading Tutor
20129
20 20069

About Miloš Cerňak

Miloš Cerňak is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Physiology, having authored 61 papers that have together received 492 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (48 papers), Speech and Audio Processing (40 papers), Music and Audio Processing (23 papers), Phonetics and Phonology Research (19 papers), Advanced Data Compression Techniques (9 papers), Natural Language Processing Techniques (7 papers), Voice and Speech Disorders (6 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Signal Processing (281 citations), Artificial Intelligence (360 citations), Experimental and Cognitive Psychology (122 citations), Physiology (85 citations) and Computer Vision and Pattern Recognition (63 citations). Miloš Cerňak has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Philip N. Garner, Petr Motlíček, Afsaneh Asaei, Hervé Bourlard, Alexandre Hyafil, Heidi Christensen, Elmar Nöth, Juan Camilo Vásquez-Correa, Frank Rudzicz and Juan Rafael Orozco‐Arroyave. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Magazine, Frontiers in Human Neuroscience, Speech Communication and IEEE Signal Processing Letters.

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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