2026 Lukas Burget: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	59	3323	3227	4	4	265	31116

Research.com Recognitions

2026 - Research.com Computer Science in Czechia Leader Award
2025 - Research.com Computer Science in Czechia Leader Award
2023 - Research.com Computer Science in Czechia Leader Award
2022 - Research.com Computer Science in Czechia Leader Award

Overview

Lukas Burget is affiliated with Brno University of Technology in the Czech Republic. Their research primarily focuses on areas within computer science, particularly emphasizing artificial intelligence and signal processing.

The scientist's main fields of study include:

Computer Science

Within computer science, their subfields of interest consist of:

Artificial Intelligence
Signal Processing
Surgery
Experimental and Cognitive Psychology
Physiology

Burget's work covers a range of topics with a concentration on speech and audio technologies. Key topics include:

Speech Recognition and Synthesis
Speech and Audio Processing
Music and Audio Processing
Natural Language Processing Techniques
Topic Modeling
Neural Networks and Applications
Voice and Speech Disorders

Their recent publications highlight various aspects of speech and audio research. Notable papers include:

"Speaker adaptation for Wav2vec2 based dysarthric ASR," 2022, Interspeech 2022
"From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization," 2022, Interspeech 2022
"An Attention-Based Backend Allowing Efficient Fine-Tuning of Transformer Models for Speaker Verification," 2023, 2022 IEEE Spoken Language Technology Workshop (SLT)
"DPCCN: Densely-Connected Pyramid Complex Convolutional Network for Robust Speech Separation and Extraction," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
"Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks," 2021, Computer Speech & Language

Frequent coauthors in Burget's research include:

Jaň Černocký
Oldřich Plchot
Themos Stafylakis
Ladislav Mošner
Federico Landini

The scientist has contributed to numerous respected publication venues. The most frequent venues include:

arXiv (Cornell University)
Interspeech 2022
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE/ACM Transactions on Audio Speech and Language Processing
2022 IEEE Spoken Language Technology Workshop (SLT)

Best Publications

Recurrent neural network based language model

Tomas Mikolov;Martin Karafiát;Lukás Burget;Jan Cernocký

7199
Citations
The Kaldi Speech Recognition Toolkit

Daniel Povey;Arnab Ghoshal;Gilles Boulianne;Lukas Burget

6099
Citations
Extensions of recurrent neural network language model

Tomas Mikolov;Stefan Kombrink;Lukas Burget;Jan Cernocky

5418
Citations
Sequence-discriminative training of deep neural networks

Karel Veselý;Arnab Ghoshal;Lukás Burget;Daniel Povey

898
Citations
Strategies for training large scale neural network language models

Tomas Mikolov;Anoop Deoras;Daniel Povey;Lukas Burget

669
Citations
Empirical Evaluation and Combination of Advanced Language Modeling Techniques

Tomas Mikolov;Anoop Deoras;Stefan Kombrink;Lukás Burget

391
Citations
The subspace Gaussian mixture model-A structured model for speech recognition

Daniel Povey;Lukáš Burget;Mohit Agarwal;Pinar Akyazi

377
Citations
RNNLM - Recurrent Neural Network Language Modeling Toolkit

Tomas Mikolov;Stefan Kombrink;Anoop Deoras;Lukas Burget

356
Citations
Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006

N. Brummer;L. Burget;J.H. Cernocky;O. Glembek

331
Citations
Language Recognition in iVectors Space

David Martínez González;Oldrich Plchot;Lukás Burget;Ondrej Glembek

331
Citations
Recurrent Neural Network based Language Modeling in Meeting Recognition

Stefan Kombrink;Tomas Mikolov;Martin Karafiát;Lukás Burget

254
Citations
Comparison of keyword spotting approaches for informal continuous speech.

Igor Szöke;Petr Schwarz;Pavel Matejka;Lukás Burget

252
Citations
Subspace Gaussian Mixture Models for speech recognition

Daniel Povey;Lukas Burget;Mohit Agarwal;Pinar Akyazi

245
Citations
Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification

Pavel Matejka;Ondrej Glembek;Fabio Castaldo;M.J. Alam

231
Citations
SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures

Katerina Zmolikova;Marc Delcroix;Keisuke Kinoshita;Tsubasa Ochiai

229
Citations
Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification

Lukas Burget;Oldrich Plchot;Sandro Cumani;Ondrej Glembek

224
Citations
Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System

L. Burget;P. Matejka;P. Schwarz;O. Glembek

220
Citations
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models

Lukas Burget;Petr Schwarz;Mohit Agarwal;Pinar Akyazi

214
Citations
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks

Federico Landini;Ján Profant;Mireia Diez;Lukáš Burget

186
Citations
Comparison of scoring methods used in speaker recognition with Joint Factor Analysis

Ondrej Glembek;Lukas Burget;Najim Dehak;Niko Brummer

184
Citations
Qualcomm-ICSI-OGI features for ASR.

André Gustavo Adami;Lukás Burget;Stéphane Dupont;Harinath Garudadri

180
Citations

Frequent Co-Authors

Martin Karafiat Brno University of Technology

Jan Cernocky Brno University of Technology

Hynek Hermansky Johns Hopkins University

Thomas Hain University of Sheffield

Tomas Mikolov Czech Technical University in Prague

Shinji Watanabe Carnegie Mellon University

Pavel Matějka Brno University of Technology

Sanjeev Khudanpur Johns Hopkins University

Daniel Povey Xiaomi (China)

Najim Dehak Johns Hopkins University

External Links

Personal website of Lukas Burget Google Scholar page

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