H. Hermansky

发表

PLP2: Autoregressive modeling of auditory-like 2-D spectro-temporal patterns

Daniel P. W. Ellis, Hynek Hermansky, Marios Athineos, 2004 .

Pushing the envelope - aside [speech recognition]

N. Morgan, Qifeng Zhu, A. Stolcke, 2005, IEEE Signal Processing Magazine.

Tandem connectionist feature extraction for conventional HMM systems

Daniel P. W. Ellis, Hynek Hermansky, Sangita Sharma, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Perceptual linear predictive (PLP) analysis of speech.

H Hermansky, H. Hermansky, 1990, The Journal of the Acoustical Society of America.

The front‐cavity/F2′ hypothesis tested by data on tongue movements

H. Hermansky, D. Broad, 1989 .

CONNECTIONIST FEATURE EXTRACTION FOR CONVENTIONAL HMM SYSTEMS

D. Ellis, H. Hermansky, Sangita Sharma, 1999 .

Sparse Multilayer Perceptron for Phoneme Recognition

Hynek Hermansky, Garimella S. V. S. Sivaram, H. Hermansky, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Sparse coding for speech recognition

Sridhar Krishna Nemala, Garimella S. V. S. Sivaram, H. Hermansky, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

TRAPS - classifiers of temporal patterns

Hynek Hermansky, Sangita Sharma, H. Hermansky, 1998, ICSLP.

Deriving Spectro-temporal Properties of Hearing from Speech Data

Hynek Hermansky, Ruizhi Li, Gregory Sell, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Perceptual Linear Predictive (PLP) Analysis-Resynthesis Technique

Hynek Hermansky, Louis Anthony Cox, H. Hermansky, 1991, Final Program and Paper Summaries 1991 IEEE ASSP Workshop on Applications of Signal Processing to Audio and Acoustics.

Multi-band and adaptation approaches to robust speech recognition

Hynek Hermansky, Sangita Tibrewala, H. Hermansky, 1997, EUROSPEECH.

Robust speaker recognition using spectro-temporal autoregressive models

Hynek Hermansky, Sri Harish Reddy Mallidi, Sriram Ganapathy, 2013, INTERSPEECH.

DNN-based performance measures for predicting error rates in automatic speech recognition and optimizing hearing aid parameters

Hynek Hermansky, Bernd T. Meyer, Guillermo Payá Vayá, 2019, Speech Commun..

Regularized Auto-Associative Neural Networks for Speaker Verification

Hynek Hermansky, Sri Harish Reddy Mallidi, Sri Garimella, 2012, IEEE Signal Processing Letters.

OPTIMIZATION OF PERCEPTUALLY-BASED ASR FRONT

Hynek Hermansky, Jean Claude Junqua, H. Hermansky, 1988 .

Analysis of Speaker and Channel Variability in

H. Hermansky, SpeechSachin Kajarekar, Narendranath Malayath, 1999 .

Syllable intelligibility for temporally filtered LPC cepstral trajectories.

H. Hermansky, M. Pavel, T. Arai, 1999, The Journal of the Acoustical Society of America.

Feature extraction using non-linear transformation for robust speech recognition on the Aurora database

Daniel P. W. Ellis, Hynek Hermansky, Sangita Sharma, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Band-independent speech-event categories for TRAP based ASR

Hynek Hermansky, Pratibha Jain, H. Hermansky, 2003, INTERSPEECH.

Speech recognition from spectral dynamics

HYNEK HERMANSKY, H. Hermansky, 2011 .

Speech beyond 10 Milliseconds (temporal Filtering in Feature Domain)

H. Hermansky, 2007 .

Multi-resolution RASTA filtering for TANDEM-based ASR

Hynek Hermansky, Petr Fousek, H. Hermansky, 2005, INTERSPEECH.

Towards increasing speech recognition error rates

Hynek Hermansky, Hervé Bourlard, Nelson Morgan, 1995, Speech Commun..

Temporal masking in automatic speech recognition

H. Hermansky, M. Pavel, 1994 .

LP-TRAP: linear predictive temporal patterns

Daniel P. W. Ellis, Hynek Hermansky, Marios Athineos, 2004, INTERSPEECH.

Qualcomm-ICSI-OGI features for ASR

Hynek Hermansky, Lukás Burget, Frantisek Grézl, 2002, INTERSPEECH.

Data-Derived Non-Linear Mapping for Feature Extraction in HMM

Hynek Hermansky, Sangita Sharma, Pratibha Jain, 1999 .

A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition

Kenneth Ward Church, Florian Metze, Aren Jansen, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

RASTA processing of speech

Hynek Hermansky, Nelson Morgan, N. Morgan, 1994, IEEE Trans. Speech Audio Process..

DATA-GUIDED PROCESSING OF SPEECH

H. Hermansky, 2003 .

NOVEL NEURAL NETWORK BASED FUSION FOR MULTISTREAM ASR Sri

H. Hermansky, H. Mallidi, 2016 .

The modulation spectrum in the automatic recognition of speech

H. Hermansky, H. Hermansky, 1997, 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings.

EXTRACTION OF TEMPORAL FEATURES FROM SPEECH

H. Hermansky, 2003 .

Sangita Tibrewala and Hynek Hermansky, "multi-stream Approach in Acoustic Modeling ," in Proc. Lvcsr-hub5 Workshop, Multi-stream Approach in Acoustic Modeling 1. the Multi-stream Concept

H. Hermansky, 2008 .

Pushing the Envelope – Aside : Beyond the Spectral Envelope as the Fundamental Representation for Speech Recognition

Barry Y. Chen, H. Bourlard, N. Morgan, 2008 .

Ignorance and Knowledge in Handling The Nonlinguistic Variability in ASR

H. Hermansky, 1998 .

A study of two dimensional linear discriminants for ASR

Hynek Hermansky, Bayya Yegnanarayana, Sachin S. Kajarekar, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

REDUNDANT CODING AND DECODING OF MESSAGES IN HUMAN SPEECH COMMUNICATION

H. Hermansky, 2017 .

Exploring Temporal Domain for Robustness in Speech Recognition

Hynek Hermansky, H. Hermansky, 1995 .

Copernicus and the Asr Challenge | W Aiting for Kepler | 1. Thoughts on Asr Research 1.1. Asr and the History O F Astronomy When Copernicus

H. Bourlard, N. Morgan, H. Hermansky, 1998 .

MLP Based Phoneme Detectors for Speech Recognition

Geoffrey Zweig, Hynek Hermansky, Patrick Nguyen, 2011 .

Show What You Know: Musings on the Reporting of Negative Results in Speech Recognition Research

Hynek Hermansky, Nelson Morgan, N. Morgan, 2003 .

Data‐driven speech analysis for ASR

H. Hermansky, 1999 .

Robust ASR front-end using spectral-based and discriminant features: experiments on the Aurora tasks

Hynek Hermansky, Lukás Burget, Nelson Morgan, 2001, INTERSPEECH.

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

P. Motlícek, H. Hermansky, S. Ganapathy, 2020 .

Scalable Wide-band Audio Codec based on Frequency Domain Linear Prediction

Hynek Hermansky, Harinath Garudadri, Sriram Ganapathy, 2007 .

Recovery from Model Inconsistency in Multilingual Speech Recognition Report from JHU workshop 2007

Christopher M. White, L. Burget, S. Khudanpur, 2022 .

06-20 Discriminant linear processing of time-frequency plane

H. Hermansky, F. Valente, 2006 .

Robust Phoneme Recognition Using High Resolution Temporal Envelopes

H. Hermansky, S. Ganapathy, 2012 .

Speech enhancement based on temporal processing PROCESSING

Hynek Hermansky, Eric A. Wan, Carlos Avendano, 2022 .

Title: Syllable Intelligibility for Temporally--ltered Lpc Cepstral Trajectories

H. Hermansky, M. Pavel, T. Arai, 1999 .

Spatial speech detection for binaural hearing aids using deep phoneme classifiers

H. Hermansky, H. Kayser, B. Meyer, 2022, Acta Acustica.

Towards handling the acoustic environment in spoken language processing

Hynek Hermansky, Nelson Morgan, N. Morgan, 1992, ICSLP.

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

Hynek Hermansky, Aruna Bayya, Nelson Morgan, 1991, EUROSPEECH.

Rasta-plp Speech Analysis Hynek Hermansky

N. Morgan, H. Hermansky, P. Kohn, 1991 .

Workshop on spoken language understanding

David G. Novick, Hynek Hermansky, Mari Ostendorf, 1992 .

Audio Coding Based on Long Temporal Contexts

P. Motlícek, H. Hermansky, H. Garudadri, 2006 .

Editorial

Hynek Hermansky, Søren Holdt Jensen, Gernot Kubin, 2005, EURASIP J. Adv. Signal Process..

Modulation Vectors as Robust Feature Representation for ASR in Domain Mismatched Conditions

Hynek Hermansky, Samik Sadhu, H. Hermansky, 2019, INTERSPEECH.

Data-driven extraction of spectral-dynamics based posteriors

Hynek Hermansky, Fabio Valente, H. Hermansky, 2011 .

Towards decomposing the sources of variability in speech

Hynek Hermansky, Naren Malayath, Alexander Kain, 1997, EUROSPEECH.

Evaluation and optimization of perceptually-based ASR front-end

Hynek Hermansky, Hisashi Wakita, J.-C. Junqua, 1993, IEEE Trans. Speech Audio Process..

Root‐power sums and spectral slope distortion measures for all‐pole models of speech

H. Hermansky, H. Wakita, B. Hanson, 1985 .

Analysis of Temporal Resolution in Frequency Domain Linear Prediction

Hynek Hermansky, Sriram Ganapathy, H. Hermansky, 2012, INTERSPEECH.

Automatic speech recognition and human auditory perception

Hynek Hermansky, H. Hermansky, 1987, ECST.

EURASIP Journal on Applied Signal Processing: Special Issue on Anthropomorphic Processing of Audio and Speech

Gernot Kubin, Hynek Hermansky, Søren Holdt Jensen, 2005 .

Noise resistant auditory model for parametrization of speech

Hynek Hermansky, Nelson Morgan, N. Morgan, 1997 .

Method and system for generating an estimated clean speech signal from a noisy speech signal

E. Wan, H. Hermansky, C. Avendaño, 2000 .

METHOD FOR ASR PERFORMANCE PREDICTION BASED ON TEMPORAL PROPERTIES OF SPEECH SIGNAL

H. Hermansky, Vijayaditya Peddinti, Ehsan Variani, 2012 .

Dealing with Unknowns in Continual Learning for End-to-end Automatic Speech Recognition

H. Hermansky, Martin Sustek, Samik Sadhu, 2022, INTERSPEECH.

Multilayer perceptron with sparse hidden outputs for phoneme recognition

Hynek Hermansky, Garimella S. V. S. Sivaram, H. Hermansky, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Analysis in Automatic Recognition of Speech

Hynek Hermansky, H. Hermansky, 1999 .

Speaker verification in a time-feature space

Sarel van Vuuren, Hynek Hermansky, H. Hermansky, 1999 .

Should recognizers have ears?

Hynek Hermansky, H. Hermansky, 1998, Speech Commun..

Modulation Spectrum in Speech Processing

Hynek Hermansky, H. Hermansky, 1998 .

Auditory Modeling in Automatic Recognition of Speech

Hynek Hermansky, H. Hermansky, 1996 .

Speech enhancement based on temporal processing

Hynek Hermansky, Eric A. Wan, Carlos Avendaño, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

The challenge of spoken language systems: research directions for the nineties

Les E. Atlas, Ronald A. Cole, David G. Novick, 1995, IEEE Trans. Speech Audio Process..

Noise suppression in cellular communications

H. Hermansky, C. Avendano, E.A. Wan, 1994, Proceedings of 2nd IEEE Workshop on Interactive Voice Technology for Telecommunications Applications.

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

Hynek Hermansky, Hans-Günter Hirsch, Nelson Morgan, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

RASTA-PLP speech analysis technique

Hynek Hermansky, Aruna Bayya, Nelson Morgan, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

The challenge of inverse-E: the RASTA-PLP method

Hynek Hermansky, Aruna Bayya, Nelson Morgan, 1991, [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers.

Developing a speaker identification system for the DARPA RATS project

Hynek Hermansky, Richard M. Schwartz, Sri Harish Reddy Mallidi, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Relevance of time-frequency features for phonetic and speaker-channel classification

Sarel van Vuuren, Hynek Hermansky, Sangita Sharma, 2000, Speech Commun..

Data-driven methods for extracting features from speech

Hynek Hermansky, Narendranath Malayath, H. Hermansky, 2000 .

Evaluating speech features with the minimal-pair ABX task: analysis of the classical MFC/PLP pipeline

Aren Jansen, Hynek Hermansky, Francis Bach, 2013, INTERSPEECH.

Perceptual Properties of Current Speech Recognition Technology

Richard M. Stern, Hynek Hermansky, Jordan Cohen, 2013, Proceedings of the IEEE.

Multilingual MLP features for low-resource LVCSR systems

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data-driven Posterior Features for Low Resource Speech Recognition Applications

Aren Jansen, Hynek Hermansky, Samuel Thomas, 2012, INTERSPEECH.

Learning sub-word units and exploiting contextual information for open vocabulary speech recognition

Hynek Hermansky, Mark Dredze, Maria Carolina Parada, 2011 .

Cross-lingual and multi-stream posterior features for low resource LVCSR systems

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2010, INTERSPEECH.

Relevancy of time-frequency features for phonetic classification measured by mutual information

Sarel van Vuuren, Hynek Hermansky, Howard Hua Yang, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Dealing with Unexpected Words in Automatic Recognition of Speech

Hynek Hermansky, H. Hermansky, 2011, TSD.

Data-driven spectral basis functions for automatic speech recognition

Hynek Hermansky, Naren Malayath, H. Hermansky, 2003, Speech Commun..

Spectral basis functions from discriminant analysis

Hynek Hermansky, Naren Malayath, H. Hermansky, 1998, ICSLP.

On the effects of short-term spectrum smoothing in channel normalization

Hynek Hermansky, Carlos Avendaño, H. Hermansky, 1997, IEEE Trans. Speech Audio Process..

Continuous speech recognition using PLP analysis with multilayer perceptrons

Hynek Hermansky, Hervé Bourlard, Nelson Morgan, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Stochastic techniques in deriving perceptual knowledge

Hynek Hermansky, H. Hermansky, 2004, SAPA@INTERSPEECH.

Speech enhancement using linear prediction residual

Hynek Hermansky, Bayya Yegnanarayana, Carlos Avendaño, 1999, Speech Commun..

Automatic Speech Recognition: an Auditory Perspective

Hynek Hermansky, Hervé Bourlard, Nelson Mogran, 2004 .

The Analysis and Representation of Speech

Hynek Hermansky, Li Deng, Ben Gold, 2004 .

SPEECH RECOGNITION FROM TEMPORAL PATTERNS

Hynek Hermansky, H. Hermansky, Sangita Sharma, 1999 .

Long, Deep and Wide Artificial Neural Nets for Dealing with Unexpected Noise in Machine Recognition of Speech

Hynek Hermansky, H. Hermansky, 2013, TSD.

Low-dimensional representation of vowels based on all-pole modeling in the psychophysical domain

Hynek Hermansky, Brian A. Hanson, Hisashi Wakita, 1985, Speech Commun..

Perceptually based linear predictive analysis of speech

Hynek Hermansky, Brian A. Hanson, Hisashi Wakita, 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

The effective second formant F2' and the vocal tract front-cavity

Hynek Hermansky, David J. Broad, H. Hermansky, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Stabilized training of joint energy-based models and their practical applications

L. Burget, H. Hermansky, J. Villalba, 2023, arXiv.org.

Continual Learning in Automatic Speech Recognition

Hynek Hermansky, Samik Sadhu, H. Hermansky, 2020, INTERSPEECH.

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

Kenneth Ward Church, Hynek Hermansky, Samuel Thomas, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Discriminant linear processing of time-frequency plane

Fabio Valente, Hynek Hermansky, H. Hermansky, 2006, INTERSPEECH.

06-20 Discriminant linear processing of time-frequency plane

H. Hermansky, F. Valente, 2006 .

Local averaging and differentiating of spectral plane for TRAP-based ASR

Hynek Hermansky, Frantisek Grézl, H. Hermansky, 2003, INTERSPEECH.

Data-Driven Analysis of Speech

Hynek Hermansky, H. Hermansky, 1999, TSD.

SPEECH VARIABILITY IN THE MODULATION SPECTRAL DOMAIN

H. Hermansky, S. Vuuren, 2021 .

Human Speech Perception: Some Lessons from Automatic Speech Recognition

Hynek Hermansky, H. Hermansky, 2001, TSD.

On the importance of components of the modulation spectrum for speaker verification

Sarel van Vuuren, Hynek Hermansky, H. Hermansky, 1998, ICSLP.

Temporal processing of speech in a time-feature space

Hynek Hermansky, Carlos Avendano, H. Hermansky, 1997 .

Coding and decoding of messages in human speech communication: Implications for machine recognition of speech

Hynek Hermansky, H. Hermansky, 2019, Speech Commun..

On Confusions in a Phoneme Recognizer

Hynek Hermansky, Andrew Lovitt, Joel Praveen Pinto, 2007 .

Study on the dereverberation of speech based on temporal envelope filtering

Hynek Hermansky, Carlos Avendaño, H. Hermansky, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Multi-Stream End-to-End Speech Recognition

Xiaofei Wang, Hynek Hermansky, Shinji Watanabe, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree

Daphna Weinshall, Hynek Hermansky, Holly Brügge Jimison, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Rapid Evaluation of Speech Representations for Spoken Term Discovery

Aren Jansen, Hynek Hermansky, Michael A. Carlin, 2011, INTERSPEECH.

Recognition of Reverberant Speech Using Frequency Domain Linear Prediction

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2008, IEEE Signal Processing Letters.

Novel neural network based fusion for multistream ASR

Hynek Hermansky, Sri Harish Reddy Mallidi, H. Hermansky, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Autoregressive Models of Amplitude Modulations in Audio Compression

Petr Motlícek, Hynek Hermansky, Sriram Ganapathy, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Applications of signal analysis using autoregressive models for amplitude modulation

Petr Motlícek, Hynek Hermansky, Samuel Thomas, 2009, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction

Hynek Hermansky, Sriram Ganapathy, Petr Motlicek, 2009 .

Autoregressive Modelling of Hilbert Envelopes for Wide-band Audio Coding

Hynek Hermansky, Harinath Garudadri, Sriram Ganapathy, 2008 .

Speech Recognition, Automatic

Hynek Hermansky, Nelson Morgan, N. Morgan, 2006 .

Analysis of MLP-Based Hierarchical Phoneme Posterior Probability Estimator

Hynek Hermansky, Hervé Bourlard, Garimella S. V. S. Sivaram, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Temporal envelope subtraction for robust speech recognition using modulation spectrum

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Volterra series for analyzing MLP based phoneme posterior estimator

Hynek Hermansky, Garimella S. V. S. Sivaram, Joel Pinto, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robust Feature Extraction Using Modulation Filtering of Autoregressive Models

Hynek Hermansky, Sri Harish Reddy Mallidi, Sriram Ganapathy, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Feature extraction using 2-d autoregressive models for speaker recognition

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2012, Odyssey.

Multiresolution channel normalization for ASR in reverberant environments

Hynek Hermansky, Carlos Avendaño, Sangita Tibrewala, 1997, EUROSPEECH.

Towards Automatic Methods to Detect Errors in Transcriptions of Speech Recordings

Hynek Hermansky, Vimal Manohar, Lucas Ondel, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

MAP Estimation of Whole-Word Acoustic Models with Dictionary Priors

Aren Jansen, Hynek Hermansky, Keith Kintzley, 2012, INTERSPEECH.

Wide-Band Perceptual Audio Coding Based on Frequency-Domain Linear Prediction

Petr Motlícek, Hynek Hermansky, Vijay Ullal, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Spectral entropy based feature for robust ASR

Hynek Hermansky, Hervé Bourlard, Shajith Ikbal, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Processing linear prediction residual for speech enhancement

Hynek Hermansky, Bayya Yegnanarayana, Carlos Avendaño, 1997, EUROSPEECH.

Hierarchical tandem feature extraction

Hynek Hermansky, Sunil Sivadas, H. Hermansky, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Temporal patterns (TRAPs) in ASR of noisy speech

Hynek Hermansky, Sangita Sharma, H. Hermansky, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS

Griffin W. Milsap, H. Hermansky, N. Ramsey, 2023, medRxiv.

Predicting error rates for unknown data in automatic speech recognition

Hynek Hermansky, Sri Harish Reddy Mallidi, Bernd T. Meyer, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mean temporal distance: Predicting ASR error from temporal properties of speech signal

Hynek Hermansky, Ehsan Variani, Vijayaditya Peddinti, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Self-supervised Learning with Speech Modulation Dropout

H. Hermansky, Samik Sadhu, 2023, ArXiv.

Sub-band based recognition of noisy speech

Hynek Hermansky, Sangita Tibrewala, H. Hermansky, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Combining Information from Multiple Classifiers for Speaker Verification

Pieter J. E. Vermeulen, Hynek Hermansky, Sangita Sharma, 1998 .

Multistream Recognition of Speech: Dealing With Unknown Unknowns

Hynek Hermansky, H. Hermansky, 2013, Proceedings of the IEEE.

Recovery of Rare Words in Lecture Speech

Hynek Hermansky, Lukás Burget, Mirko Hannemann, 2010, TSD.

An Alternative to MFCCs for ASR

Hynek Hermansky, Sanjeev Khudanpur, Daniel Povey, 2020, INTERSPEECH.

Beyond NYQUIST: towards the recovery of broad-bandwidth speech from narrow-bandwidth speech

Hynek Hermansky, Eric A. Wan, Carlos Avendaño, 1995, EUROSPEECH.

Data-Driven and Feedback Based Spectro-Temporal Features for Speech Recognition

Sridhar Krishna Nemala, Hynek Hermansky, Garimella S. V. S. Sivaram, 2010, IEEE Signal Processing Letters.

Robust speech recognition in unknown reverberant and noisy conditions

Hynek Hermansky, Shinji Watanabe, Richard M. Schwartz, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Significance of Contextual Information in Phoneme Recognition

S. R. Mahadeva Prasanna, Hynek Hermansky, B. Yegnanarayana, 2007 .

Adaptive speech enhancement using frequency-specific SNR estimates

H. Hermansky, C. Avendano, M. Vis, 1996, Proceedings of IVTTA '96. Workshop on Interactive Voice Technology for Telecommunications Applications.

Performance Monitoring for End-to-End Speech Recognition pdf

Hynek Hermansky, Ruizhi Li, Gregory Sell, 2019, INTERSPEECH.

Uncertainty estimation of DNN classifiers

Tetsuji Ogawa, Hynek Hermansky, Sri Harish Reddy Mallidi, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

UNCERTAINTY ESTIMATION OF DNN CLASSIFIERS Sri

H. Hermansky, Tetsuji Ogawa, H. Mallidi, 2015 .

Stream selection and integration in multistream ASR using GMM-based performance monitoring

Tetsuji Ogawa, Hynek Hermansky, Feipeng Li, 2013, INTERSPEECH.

Reverse Correlation for Analyzing MLP Posterior Features in ASR

Hynek Hermansky, Garimella S. V. S. Sivaram, Joel Pinto, 2008, TSD.

Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR

Hynek Hermansky, Garimella S. V. S. Sivaram, H. Hermansky, 2008, TSD.

Emulating temporal receptive fields of auditory mid-brain neurons for automatic speech recognition

Hynek Hermansky, Garimella S. V. S. Sivaram, H. Hermansky, 2008, 2008 16th European Signal Processing Conference.

Introducing temporal asymmetries in feature extraction for automatic speech recognition

Hynek Hermansky, Garimella S. V. S. Sivaram, H. Hermansky, 2008, INTERSPEECH.

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

Misha Pavel, Hynek Hermansky, Takayuki Arai, 1999, Speech Commun..

On properties of modulation spectrum for robust automatic speech recognition

Hynek Hermansky, Takayuki Arai, Noboru Kanedera, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Intelligibility of speech with filtered time trajectories of spectral envelopes

Misha Pavel, Hynek Hermansky, Takayuki Arai, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Entropy coding of Quantized Spectral Components in FDLP audio codec

Hynek Hermansky, Sriram Ganapathy, Petr Motlicek, 2008 .

Towards spoken term discovery at scale with zero resources

Kenneth Ward Church, Aren Jansen, Hynek Hermansky, 2010, INTERSPEECH.

Fast Approximate Spoken Term Detection from Sequence of Phonemes

S. R. Mahadeva Prasanna, Hynek Hermansky, Joel Praveen Pinto, 2008, SIGIR 2008.

Hierarchical neural networks feature extraction for LVCSR system

Fabio Valente, Hynek Hermansky, Jithendra Vepa, 2007, INTERSPEECH.

Intelligent Multi-modal Interfaces for Mobile Applications in Hostile Environment(IM-HOST)

Hynek Hermansky, Hervé Bourlard, Guillermo Aradilla, 2009, Human Machine Interaction.

History of modulation spectrum in ASR

Hynek Hermansky, H. Hermansky, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speech recognitionwith segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop

Geoffrey Zweig, Les E. Atlas, Aren Jansen, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Analysis of Confusion Matrix to Combine Evidence for Phoneme Recognition

S. R. Mahadeva Prasanna, Hynek Hermansky, B. Yegnanarayana, 2007 .

Combining evidence from a generative and a discriminative model in phoneme recognition

Hynek Hermansky, Joel Pinto, H. Hermansky, 2008, INTERSPEECH.

Exploiting contextual information for improved phoneme recognition

Hynek Hermansky, Bayya Yegnanarayana, Joel Pinto, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Towards feature-based speech metric

Hynek Hermansky, Aruna Bayya, H. Hermansky, 1990, International Conference on Acoustics, Speech, and Signal Processing.

An efficient speaker-independent automatic speech recognition by simulation of some properties of human auditory perception

H. Hermansky, H. Hermansky, 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Front-end for far-field speech recognition based on frequency domain linear prediction

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2008, INTERSPEECH.

Perceptual Properties of Current Speech Recognition Technology

Jordan Cohen, H. Hermansky, R. Stern, 2013, Proceedings of the IEEE.

Wide-Band Audio Coding Based on Frequency-Domain Linear Prediction

Petr Motlícek, Hynek Hermansky, Harinath Garudadri, 2010, EURASIP J. Audio Speech Music. Process..

Reconciliation of human and machine speech recognition performance

Misha Pavel, Hynek Hermansky, Malcolm Slaney, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Hierarchical and parallel processing of modulation spectrum for ASR applications

Fabio Valente, Hynek Hermansky, H. Hermansky, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Combination of Acoustic Classifiers Based on Dempster-Shafer Theory of Evidence

Fabio Valente, Hynek Hermansky, H. Hermansky, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Towards ASR on partially corrupted speech

Misha Pavel, Hynek Hermansky, Sangita Tibrewala, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Speech Recognition with Segmental Conditional Random Fields: Final Report from the 2010 JHU Summer Workshop

Geoffrey Zweig, Aren Jansen, Hynek Hermansky, 2010 .

Autoencoder based multi-stream combination for noise robust speech recognition

Tetsuji Ogawa, Hynek Hermansky, Sri Harish Reddy Mallidi, 2015, INTERSPEECH.

DNN derived filters for processing of modulation spectrum of speech

Hynek Hermansky, Lukás Burget, Karel Veselý, 2015, INTERSPEECH.