Martin Karafiát

9.3k total citations · 1 hit paper
77 papers, 5.9k citations indexed

About

Martin Karafiát is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Karafiát has authored 77 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 42 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Karafiát's work include Speech Recognition and Synthesis (64 papers), Speech and Audio Processing (34 papers) and Natural Language Processing Techniques (28 papers). Martin Karafiát is often cited by papers focused on Speech Recognition and Synthesis (64 papers), Speech and Audio Processing (34 papers) and Natural Language Processing Techniques (28 papers). Martin Karafiát collaborates with scholars based in Czechia, United States and Canada. Martin Karafiát's co-authors include Lukáš Burget, Jaň Černocký, Tomáš Mikolov, Sanjeev Khudanpur, František Grézl, Karel Veselý, Ondřej Glembek, Petr Schwarz, Pavel Matějka and Stefan Kombrink and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language and International Journal of Speech Technology.

In The Last Decade

Martin Karafiát

77 papers receiving 5.3k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recurrent neural network based language model

2010 3.3k citations Tomáš Mikolov, Martin Karafiát et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Karafiát Czechia	26	4.7k	2.3k	918	412	212	77	5.9k
Ralf Schlüter Germany	33	4.2k 0.9×	2.4k 1.1×	788 0.9×	215 0.5×	221 1.0×	228	5.6k
Jaň Černocký Czechia	32	6.4k 1.3×	3.2k 1.4×	1.3k 1.4×	530 1.3×	295 1.4×	152	8.1k
Haşim Sak United States	25	3.4k 0.7×	2.1k 0.9×	690 0.8×	186 0.5×	425 2.0×	45	5.2k
Bhuvana Ramabhadran United States	34	4.4k 0.9×	2.7k 1.2×	938 1.0×	168 0.4×	205 1.0×	220	5.6k
Lukáš Burget Czechia	43	8.1k 1.7×	4.6k 2.0×	1.3k 1.5×	558 1.4×	306 1.4×	202	10.2k
Karen Livescu United States	33	3.9k 0.8×	1.9k 0.8×	2.3k 2.5×	223 0.5×	290 1.4×	123	6.6k
Steve Renals United Kingdom	43	6.3k 1.3×	3.8k 1.7×	1.1k 1.2×	305 0.7×	133 0.6×	281	8.0k
Tim Oates United States	27	1.9k 0.4×	1.2k 0.5×	471 0.5×	543 1.3×	231 1.1×	157	4.0k
Françoise Beaufays United States	21	2.1k 0.4×	1.2k 0.5×	481 0.5×	161 0.4×	419 2.0×	65	3.5k
Bo Xu China	35	4.4k 0.9×	1.3k 0.6×	951 1.0×	548 1.3×	850 4.0×	293	6.7k

Countries citing papers authored by Martin Karafiát

Since Specialization

Citations

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

Fields of papers citing papers by Martin Karafiát

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Karafiát

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Karafiát, Martin, et al.. (2024). Comparison of wav2vec 2.0 models on three speech processing tasks. International Journal of Speech Technology. 27(4). 847–859. 1 indexed citations

2.

Luque, Jordi, et al.. (2021). BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge. 113–117. 4 indexed citations

3.

Karafiát, Martin, Murali Karthick Baskar, Igor Szöke, et al.. (2018). BUT OpenSAT 2017 Speech Recognition System. 2638–2642. 1 indexed citations

4.

Baskar, Murali Karthick, Martin Karafiát, Lukáš Burget, et al.. (2017). Residual memory networks: Feed-forward approach to learn long-term temporal dependencies. 4810–4814. 11 indexed citations

5.

Grézl, František, et al.. (2016). Study of Large Data Resources for Multilingual Training and System Porting. Procedia Computer Science. 81. 15–22. 8 indexed citations

6.

Karafiát, Martin, František Grézl, Karel Veselý, et al.. (2014). BUT 2014 Babel system: analysis of adaptation in NN based systems. 3002–3006. 20 indexed citations

7.

Karafiát, Martin, František Grézl, Mirko Hannemann, & Jaň Černocký. (2014). But neural network features for spontaneous Vietnamese in BABEL. 5622–5626. 11 indexed citations

8.

Grézl, František & Martin Karafiát. (2014). Combination of multilingual and semi-supervised training for under-resourced languages. 820–824. 18 indexed citations

9.

Karakos, Damianos, Richard Schwartz, Stavros Tsakalidis, et al.. (2013). Score normalization and system combination for improved keyword spotting. 210–215. 77 indexed citations

10.

Plchot, Oldřich, Martin Karafiát, Niko Brümmer, et al.. (2012). Speaker vectors from subspace Gaussian mixture model as complementary features for language identification.. 330–333. 4 indexed citations

11.

Karafiát, Martin, et al.. (2012). Region dependent linear transforms in multilingual speech recognition. 4885–4888. 8 indexed citations

12.

Veselý, Karel, Martin Karafiát, & František Grézl. (2011). Convolutive Bottleneck Network features for LVCSR. 3. 42–47. 63 indexed citations

13.

Grézl, František, et al.. (2011). Study of probabilistic and Bottle-Neck features in multilingual environment. 359–364. 53 indexed citations

14.

Deoras, Anoop, Tomáš Mikolov, Stefan Kombrink, Martin Karafiát, & Sanjeev Khudanpur. (2011). Variational approximation of long-span language models for lvcsr. 5532–5535. 39 indexed citations

15.

Plchot, Oldřich, Niko Brümmer, Lukáš Burget, et al.. (2010). Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system.. 37. 21 indexed citations

16.

Rose, Richard C., et al.. (2010). Subword-based spoken term detection in audio course lectures. 1. 5282–5285. 10 indexed citations

17.

Povey, Daniel, Lukáš Burget, Mohit Agarwal, et al.. (2010). Subspace Gaussian Mixture Models for speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 124 indexed citations

18.

Karafiát, Martin, Lukáš Burget, Jaň Černocký, & Thomas Hain. (2007). Application of CMLLR in narrow band wide band adapted systems. 282–285. 6 indexed citations

19.

Hain, Thomas, John Dines, Giulia Garau, et al.. (2005). Proceedings of the 9th European Conference on Speech Communication and Technology. Conference of the International Speech Communication Association. 37 indexed citations

20.

Szöke, Igor, Petr Schwarz, Pavel Matějka, et al.. (2005). Comparison of keyword spotting approaches for informal continuous speech. 633–636. 109 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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