World's Best Scientists 2026 revealed!

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Computer Science

D-Index
61
Citations
19893
World Ranking
3014
National Ranking
1477

Electronics and Electrical Engineering

D-Index
62
Citations
19871
World Ranking
1415
National Ranking
582

Research.com Recognitions

  • 2001 - IEEE Fellow For invention and development of perceptually-based speech processing methods.

Overview

Hynek Hermansky is affiliated with Johns Hopkins University in the United States. Their research focuses primarily on the intersection of computer science and neuroscience, with a substantial number of publications spanning these fields.

The scientist's work centers on topics including speech and audio processing, speech recognition and synthesis, EEG and brain-computer interfaces, music and audio processing, neuroscience and neural engineering, neural dynamics and brain function, and blind source separation techniques.

Frequent publication venues for their research include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Interspeech 2022
  • Advanced Science
  • Scientific Reports

Their recent papers showcase advancements in speech-related brain-computer interfaces, neural speech decoding, and auditory processing. Notable recent works are:

  • Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months, 2023, Advanced Science
  • Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS, 2024, Scientific Reports
  • Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS, 2023, bioRxiv (Cold Spring Harbor Laboratory)
  • Iterative alignment discovery of speech-associated neural activity, 2024, Journal of Neural Engineering
  • Spatial speech detection for binaural hearing aids using deep phoneme classifiers, 2022, Acta Acustica

Collaborations have frequently involved coauthors such as Samik Sadhu, Griffin Milsap, Matthew S. Fifer, Nathan E. Crone, and Shiyu Luo, reflecting a network of contributors in related fields.

The scientist's subfields of study include signal processing, artificial intelligence, cognitive neuroscience, cellular and molecular neuroscience, and biomedical engineering, indicating a multidisciplinary approach within their research.

Hynek Hermansky was awarded IEEE Fellow in 2001 for invention and development of perceptually-based speech processing methods.

Best Publications

  • Perceptual linear predictive (PLP) analysis of speech

    Hynek Hermansky

  • RASTA processing of speech

    H. Hermansky;N. Morgan

  • Tandem connectionist feature extraction for conventional HMM systems

    H. Hermansky;D.P.W. Ellis;S. Sharma

  • RASTA-PLP speech analysis technique

    H. Hermansky;N. Morgan;A. Bayya;P. Kohn

  • Recognition of speech in additive and convolutional noise based on RASTA spectral processing

    H. Hermansky;N. Morgan;H.-G. Hirsch

  • Compensation for the effect of the communication channel in auditory-like analysis of speech (RASTA-PLP).

    Hynek Hermansky;Nelson Morgan;Aruna Bayya;Phil Kohn

  • Should recognizers have ears

    Hynek Hermansky;Hynek Hermansky

  • Temporal patterns (TRAPs) in ASR of noisy speech

    H. Hermansky;S. Sharma

  • The challenge of spoken language systems: Research directions for the nineties

    R. Cole;L. Hirschman;L. Atlas;M. Beckman

  • Towards increasing speech recognition error rates

    Hervé Bourlard;Hervé Bourlard;Hynek Hermansky;Hynek Hermansky;Nelson Morgan;Nelson Morgan

  • Towards ASR on partially corrupted speech

    H. Hennansky;S. Tibrewala;M. Pavel

  • TRAPS - classifiers of temporal patterns.

    Hynek Hermansky;Sangita Sharma

  • Spectral entropy based feature for robust ASR

    H. Misra;S. Ikbal;H. Bourlard;H. Hermansky

  • Sub-band based recognition of noisy speech

    S. Tibrewala;H. Hermansky

  • Noise resistant auditory model for parametrization of speech

    Hynek Hermansky;Nelson H. Morgan

  • Towards Spoken Term Discovery At Scale With Zero Resources

    Aren Jansen;Kenneth Church;Hynek Hermansky

  • Qualcomm-ICSI-OGI features for ASR.

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

  • Multi-resolution RASTA filtering for TANDEM-based ASR

    Hynek Hermansky;Petr Fousek

  • On the relative importance of various components of the modulation spectrum for automatic speech recognition

    Noboru Kanedera;Takayuki Arai;Hynek Hermansky;Hynek Hermansky;Misha Pavel;Misha Pavel

  • Deep neural network features and semi-supervised training for low resource speech recognition

    Samuel Thomas;Michael L. Seltzer;Kenneth Church;Hynek Hermansky

Frequent Co-Authors

Nelson Morgan
Nelson Morgan International Computer Science Institute
Hervé Bourlard
Hervé Bourlard Idiap Research Institute
Aren Jansen
Aren Jansen Google (United States)
Nima Mesgarani
Nima Mesgarani Columbia University
Lukas Burget
Lukas Burget Brno University of Technology
Misha Pavel
Misha Pavel Northeastern University
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
B. Yegnanarayana
B. Yegnanarayana International Institute of Information Technology, Hyderabad
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences

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