Lukáš Burget

16.5k citations

202 papers · 10.2k indexed · 4 hit papers · h-index 43

Impact in

Signal Processing top 0.05%
- Speech and Audio Processing
- Music and Audio Processing
Artificial Intelligence top 0.05%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Sentiment Analysis and Opinion Mining

Papers in ⓘ

Artificial Intelligence 175
- Speech Recognition and Synthesis 164
- Natural Language Processing Techniques 55
- Topic Modeling 20
- Speech and dialogue systems 17
- Neural Networks and Applications 8
Signal Processing 126
- Speech and Audio Processing 106
- Music and Audio Processing 91

Co-authors: Jaň Černocký (96 shared papers)Tomáš Mikolov (12 shared papers)Martin Karafiát (40 shared papers)Sanjeev Khudanpur (7 shared papers)Stefan Kombrink (8 shared papers)Ondřej Glembek (45 shared papers)Pavel Matějka (35 shared papers)Daniel Povey (8 shared papers)
Journals: Computer Speech & Language (5 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (5 papers)IEEE Transactions on Audio Speech and Language Processing (4 papers)Experimental and Clinical Endocrinology & Diabetes (3 papers)Physiology & Behavior (2 papers)
Partner nations: Czechia United States Germany

In The Last Decade

Lukáš Burget

195 papers receiving 9.3k citations

Hit Papers

align trajectories log scale

Sequence-discriminative training of deep neural networks 2013 · 458 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2013 Edinburgh Research Explorer
2011 Extensions of recurrent neural network language model
2011 Strategies for training large scale neural network language models
2010 Recurrent neural network based language model

Peers

Countries citing papers authored by Lukáš Burget

Since Specialization

Citations

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

Fields of papers citing papers by Lukáš Burget

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lukáš Burget, 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 Lukáš Burget Line = papers co-authored together Lukáš Burget links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Recurrent neural network based language model Tomáš Mikolov, Martin Karafiát, Lukáš Burget, Jaň Černocký, Sanjeev Khudanpur Hit paper breakdown →	2010	3313
2	Extensions of recurrent neural network language model Tomáš Mikolov, Stefan Kombrink, Lukáš Burget, Jaň Černocký, Sanjeev Khudanpur Hit paper breakdown →	2011	929
3	Sequence-discriminative training of deep neural networks Edinburgh Research Explorer ·Karel Veselý, Arnab Ghoshal, Lukáš Burget, Daniel Povey Hit paper breakdown →	2013	458
4	Strategies for training large scale neural network language models Tomáš Mikolov, Anoop Deoras, Daniel Povey, Lukáš Burget, Jaň Černocký Hit paper breakdown →	2011	329
5	The subspace Gaussian mixture model—A structured model for speech recognition Computer Speech & Language ·Daniel Povey, Lukáš Burget, Mohit Agarwal, Pinar Akyazi, Kai Feng, Arnab Ghoshal, Ondřej Glembek, Nagendra Kumar Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas	2010	210
6	RNNLM - Recurrent Neural Network Language Modeling Toolkit Tomáš Mikolov, Stefan Kombrink, Anoop Deoras, Lukáš Burget, Jaň Černocký	2011	165
7	Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006 IEEE Transactions on Audio Speech and Language Processing ·Niko Brümmer, Lukáš Burget, Jaň Černocký, Ondřej Glembek, František Grézl, Martin Karafiát, David A. van Leeuwen, Pavel Matějka, Petr Schwarz, Albert Strasheim	2007	165
8	Language recognition in ivectors space David Martínez, Oldřich Plchot, Lukáš Burget, Ondřej Glembek, Pavel Matějka	2011	162
9	Empirical evaluation and combination of advanced language modeling techniques Tomáš Mikolov, Anoop Deoras, Stefan Kombrink, Lukáš Burget, Jaň Černocký	2011	161
10	SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures IEEE Journal of Selected Topics in Signal Processing ·Kateřina Žmolíková, Marc Delcroix, Keisuke Kinoshita, Tsubasa Ochiai, Tomohiro Nakatani, Lukáš Burget, Jaň Černocký	2019	152
11	Recurrent neural network based language modeling in meeting recognition Stefan Kombrink, Tomáš Mikolov, Martin Karafiát, Lukáš Burget	2011	135
12	Subspace Gaussian Mixture Models for speech recognition Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Daniel Povey, Lukáš Burget, Mohit Agarwal, Pinar Akyazi, Kai Feng, Arnab Ghoshal, Ondřej Glembek, Nagendra Kumar Goel, Martin Karafiát, Ariya Rastrow, Richard C. Rose, Petr Schwarz, Samuel Thomas	2010	124
13	Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Lukáš Burget, Petr Schwarz, Mohit Agarwal, Pinar Akyazi, Kai Feng, Arnab Ghoshal, Ondřej Glembek, Nagendra Kumar Goel, Martin Karafiát, Daniel Povey, Ariya Rastrow, Richard C. Rose, Samuel Thomas	2010	123
14	Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification Pavel Matějka, Ondřej Glembek, Fabio Castaldo, Md. Jahangir Alam, Oldřich Plchot, Patrick Kenny, Lukáš Burget, Jaň Černocký	2011	113
15	Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification Lukáš Burget, Oldřich Plchot, Sandro Cumani, Ondřej Glembek, Pavel Matějka, Niko Brümmer	2011	110
16	Comparison of keyword spotting approaches for informal continuous speech Igor Szöke, Petr Schwarz, Pavel Matějka, Lukáš Burget, Martin Karafiát, Michal Fapšo, Jaň Černocký	2005	109
17	Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System IEEE Transactions on Audio Speech and Language Processing ·Lukáš Burget, Pavel Matějka, Petr Schwarz, Ondřej Glembek, Jaň Černocký	2007	108
18	Comparison of scoring methods used in speaker recognition with Joint Factor Analysis Ondřej Glembek, Lukáš Burget, Najim Dehak, Niko Brümmer, Patrick Kenny	2009	91
19	Transcribing Meetings With the AMIDA Systems IEEE Transactions on Audio Speech and Language Processing ·Thomas Hain, Lukáš Burget, John Dines, Philip N. Garner, František Grezl, Asmaa El Hannani, Marijn Huijbregts, Martin Karafiát, Mike Lincoln, Vincent Wan	2011	87
20	Qualcomm-ICSI-OGI features for ASR André Adami, Lukáš Burget, Stéphane Dupont, Hari Garudadri, František Grézl, Hynek Heřmanský, Pratibha Jain, Sachin Kajarekar, Nelson Morgan, Sunil Sivadas	2002	85

About Lukáš Burget

Lukáš Burget is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Physiology and Endocrine and Autonomic Systems, having authored 202 papers that have together received 10.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (164 papers), Speech and Audio Processing (106 papers), Music and Audio Processing (91 papers), Natural Language Processing Techniques (55 papers), Topic Modeling (20 papers), Speech and dialogue systems (17 papers), Neural Networks and Applications (8 papers) and Regulation of Appetite and Obesity (5 papers). The work is most often cited by research in Signal Processing (4.6k citations), Artificial Intelligence (8.1k citations), Computer Vision and Pattern Recognition (1.3k citations), Information Systems (558 citations) and Software (94 citations). Lukáš Burget has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Jaň Černocký, Tomáš Mikolov, Martin Karafiát, Sanjeev Khudanpur, Stefan Kombrink, Ondřej Glembek, Pavel Matějka, Daniel Povey, Karel Veselý and Oldřich Plchot. Their work appears in journals such as Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Audio Speech and Language Processing, Experimental and Clinical Endocrinology & Diabetes and Physiology & Behavior.

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