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Computer Science

D-Index
38
Citations
12554
World Ranking
9965
National Ranking
21

Overview

Jan Cernocky is affiliated with Brno University of Technology in the Czech Republic. Their research focuses on the field of Computer Science, with a strong emphasis on Artificial Intelligence and Signal Processing. The work also extends to General Health Professions, Physiology, and Experimental and Cognitive Psychology in a limited capacity.

The main topics covered by their research include Speech Recognition and Synthesis, Speech and Audio Processing, Music and Audio Processing, Natural Language Processing Techniques, Topic Modeling, Speech and Dialogue Systems, and AI in Service Interactions.

Frequent coauthors in their publications include Lukáš Burget, Oldřich Plchot, Ladislav Mošner, Junyi Peng, and Themos Stafylakis.

Jan Cernocky has published extensively in notable venues. Among the most frequent are arXiv (Cornell University), Interspeech 2022, ICASSP 2022 (IEEE International Conference on Acoustics, Speech and Signal Processing), IEEE Signal Processing Magazine, and the 2022 IEEE Spoken Language Technology Workshop (SLT).

Notable recent papers authored or coauthored by Jan Cernocky include:

  • Neural Target Speech Extraction: An overview (2023), IEEE Signal Processing Magazine
  • Speaker adaptation for Wav2vec2 based dysarthric ASR (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)
  • ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications (2022), arXiv (Cornell University)

Best Publications

  • Extensions of recurrent neural network language model

    Tomas Mikolov;Stefan Kombrink;Lukas Burget;Jan Cernocky

  • Strategies for training large scale neural network language models

    Tomas Mikolov;Anoop Deoras;Daniel Povey;Lukas Burget

  • Probabilistic and Bottle-Neck Features for LVCSR of Meetings

    F. Grezl;M. Karafiat;S. Kontar;J. Cernocky

  • RNNLM - Recurrent Neural Network Language Modeling Toolkit

    Tomas Mikolov;Stefan Kombrink;Anoop Deoras;Lukas Burget

  • 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

  • Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data

    Christopher McCool;Sebastien Marcel;Abdenour Hadid;Matti Pietikainen

  • Hierarchical Structures of Neural Networks for Phoneme Recognition

    P. Schwarz;P. Matejka;J. Cernocky

  • Comparison of keyword spotting approaches for informal continuous speech.

    Igor Szöke;Petr Schwarz;Pavel Matejka;Lukás Burget

  • Improved feature processing for Deep Neural Networks

    Shakti P. Rath;Daniel Povey;Karel Veselý;Jan Cernocký

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

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

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

    Katerina Zmolikova;Marc Delcroix;Keisuke Kinoshita;Tsubasa Ochiai

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

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

  • Towards Lower Error Rates in Phoneme Recognition

    Petr Schwarz;Pavel Matějka;Jan Černocký

  • Neural network based language models for highly inflective languages

    Tomas Mikolov;Jiri Kopecky;Lukas Burget;Ondrej Glembek

  • Brno University of Technology System for NIST 2005 Language Recognition Evaluation

    P. Matejka;L. Burget;P. Sckwarz;J. Cernocky

  • Analysis of DNN approaches to speaker identification

    Pavel Matejka;Ondrej Glembek;Ondrej Novotny;Oldrich Plchot

  • Analysis of Score Normalization in Multilingual Speaker Recognition.

    Pavel Matějka;Ondřej Novotný;Oldřich Plchot;Lukáš Burget

  • Discriminative Training Techniques for Acoustic Language Identification

    L. Burget;P. Matejka;J. Cernocky

  • Building and Evaluation of a Real Room Impulse Response Dataset

    Igor Szoke;Miroslav Skacel;Ladislav Mosner;Jakub Paliesek

  • Variational Inference for Acoustic Unit Discovery

    Lucas Ondel;Lukaš Burget;Jan Černocký

Frequent Co-Authors

Lukas Burget
Lukas Burget Brno University of Technology
Martin Karafiat
Martin Karafiat Brno University of Technology
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Tomas Mikolov
Tomas Mikolov Czech Technical University in Prague
Marc Delcroix
Marc Delcroix NTT (Japan)
Sébastien Marcel
Sébastien Marcel Idiap Research Institute
Sanjeev Khudanpur
Sanjeev Khudanpur Johns Hopkins University
Jean-Marc Odobez
Jean-Marc Odobez Idiap Research Institute
Hervé Bourlard
Hervé Bourlard Idiap Research Institute
Hynek Hermansky
Hynek Hermansky Johns Hopkins University

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