Ladislav Mošner

454 total citations
25 papers, 235 citations indexed

About

Ladislav Mošner is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ladislav Mošner has authored 25 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Signal Processing, 21 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ladislav Mošner's work include Speech and Audio Processing (21 papers), Speech Recognition and Synthesis (21 papers) and Music and Audio Processing (12 papers). Ladislav Mošner is often cited by papers focused on Speech and Audio Processing (21 papers), Speech Recognition and Synthesis (21 papers) and Music and Audio Processing (12 papers). Ladislav Mošner collaborates with scholars based in Czechia, Finland and Poland. Ladislav Mošner's co-authors include Jaň Černocký, Oldřich Plchot, Lukáš Burget, Igor Szöke, Ondřej Novotný, Themos Stafylakis, Pavel Matějka, Ondřej Glembek, Johan Rohdin and Pavel Matějka and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Computer Speech & Language and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Ladislav Mošner

24 papers receiving 225 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ladislav Mošner Czechia 9 203 186 19 18 16 25 235
Mahesh Kumar Nandwana United States 11 248 1.2× 242 1.3× 11 0.6× 25 1.4× 13 0.8× 22 303
Max W. Y. Lam United States 9 142 0.7× 158 0.8× 10 0.5× 23 1.3× 13 0.8× 21 231
Yanhua Long China 9 197 1.0× 226 1.2× 13 0.7× 23 1.3× 6 0.4× 62 280
Jean-Marie Lemercier Germany 6 191 0.9× 141 0.8× 41 2.2× 21 1.2× 15 0.9× 14 227
Prashant Sridhar United States 7 260 1.3× 276 1.5× 24 1.3× 18 1.0× 15 0.9× 12 337
Rama Doddipatla United Kingdom 10 181 0.9× 197 1.1× 26 1.4× 10 0.6× 12 0.8× 42 248
Chenda Li China 9 297 1.5× 313 1.7× 33 1.7× 24 1.3× 16 1.0× 24 390
Soyeon Choe South Korea 6 263 1.3× 263 1.4× 12 0.6× 32 1.8× 11 0.7× 8 323

Countries citing papers authored by Ladislav Mošner

Since Specialization
Citations

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

Fields of papers citing papers by Ladislav Mošner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ladislav Mošner

This figure shows the co-authorship network connecting the top 25 collaborators of Ladislav Mošner. A scholar is included among the top collaborators of Ladislav Mošner 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 Ladislav Mošner. Ladislav Mošner 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.
Mošner, Ladislav, Lin Zhang, Oldřich Plchot, et al.. (2025). CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification. 1–5.
2.
Mošner, Ladislav, Romain Serizel, Lukáš Burget, et al.. (2024). Multi-Channel Extension of Pre-trained Models for Speaker Verification. 2135–2139. 1 indexed citations
3.
4.
Stafylakis, Themos, Rongzhi Gu, Oldřich Plchot, et al.. (2023). Parameter-Efficient Transfer Learning of Pre-Trained Transformer Models for Speaker Verification Using Adapters. 1–5. 12 indexed citations
5.
Karafiát, Martin, et al.. (2023). BUT CHiME-7 system description. 67–72. 1 indexed citations
6.
7.
8.
Stafylakis, Themos, Ladislav Mošner, Oldřich Plchot, et al.. (2022). Analyzing Speaker Verification Embedding Extractors and Back-Ends Under Language and Channel Mismatch. 4 indexed citations
9.
Mošner, Ladislav, Oldřich Plchot, Lukáš Burget, & Jaň Černocký. (2022). Multisv: Dataset for Far-Field Multi-Channel Speaker Verification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7977–7981. 6 indexed citations
10.
Stafylakis, Themos, Ladislav Mošner, Oldřich Plchot, et al.. (2022). Training speaker embedding extractors using multi-speaker audio with unknown speaker boundaries. Interspeech 2022. 605–609. 1 indexed citations
11.
Brümmer, Niko, et al.. (2022). Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings. Interspeech 2022. 1446–1450. 5 indexed citations
12.
Gu, Rongzhi, et al.. (2022). Learnable Sparse Filterbank for Speaker Verification. Interspeech 2022. 3 indexed citations
13.
Mošner, Ladislav, Oldřich Plchot, Johan Rohdin, & Jaň Černocký. (2020). Utilizing VOiCES Dataset for Multichannel Speaker Verification with Beamforming. 187–193. 7 indexed citations
14.
Matějka, Pavel, Oldřich Plchot, Ondřej Glembek, et al.. (2019). 13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE. Computer Speech & Language. 63. 101035–101035. 8 indexed citations
15.
Matějka, Pavel, Oldřich Plchot, Hossein Zeinali, et al.. (2019). Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 Challenge. 2448–2452. 15 indexed citations
16.
Szöke, Igor, et al.. (2019). Building and evaluation of a real room impulse response dataset. IEEE Journal of Selected Topics in Signal Processing. 13(4). 863–876. 69 indexed citations
17.
Mošner, Ladislav, Oldřich Plchot, Johan Rohdin, Lukáš Burget, & Jaň Černocký. (2019). Speaker Verification with Application-Aware Beamforming. 139. 411–418. 4 indexed citations
18.
Mošner, Ladislav, Oldřich Plchot, Pavel Matějka, Ondřej Novotný, & Jaň Černocký. (2018). Dereverberation and Beamforming in Robust Far-Field Speaker Recognition. 1334–1338. 6 indexed citations
19.
Mošner, Ladislav, Pavel Matějka, Ondřej Novotný, & Jaň Černocký. (2018). Dereverberation and Beamforming in Far-Field Speaker Recognition. 5254–5258. 16 indexed citations
20.
Novotný, Ondřej, Oldřich Plchot, Pavel Matějka, Ladislav Mošner, & Ondřej Glembek. (2018). On the use of X-vectors for Robust Speaker Recognition. 168–175. 10 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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