Hynek Hermansky

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

Evaluating speech features with the minimal-pair ABX task (II): resistance to noise

Hynek Hermansky, Francis R. Bach, Emmanuel Dupoux, 2014, INTERSPEECH.

Speaker verification in a time-feature space

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

MAP Estimation of Whole-Word Acoustic Models with Dictionary Priors

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

Qualcomm-ICSI-OGI features for ASR

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

A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation

Tetsuji Ogawa, Hynek Hermansky, Naomi Feldman, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Beyond a single critical-band in TRAP based ASR

Hynek Hermansky, Pratibha Jain, 2003, INTERSPEECH.

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.

Robust speaker recognition using spectro-temporal autoregressive models

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

Perceptually Motivated Sub-band Decomposition for FDLP Audio Coding

Petr Motlícek, Hynek Hermansky, Harinath Garudadri, 2008, TSD.

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.

The Role of Speech in Multimodal Human-Computer Interaction

Hynek Hermansky, Petr Fousek, Mikko Lehtonen, 2005, TSD.

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

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

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.

Volterra Series for Analyzing MLP based Phoneme Posterior Probability Estimator

Hynek Hermansky, Mathew Magimai.-Doss, Joel Praveen Pinto, 2008, ICASSP 2008.

MODIFIED DISCRETE COSINE TRANSFORM FOR ENCODING RESIDUAL SIGNALS IN FREQUENCY DOMAIN LINEAR PREDICTION

Hynek Hermansky, Sriram Ganapathy, Petr Motlicek, 2008 .

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.

Comparison of modulation features for phoneme recognition

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Practical Two-Stage Training Strategy for Multi-Stream End-to-End Speech Recognition

Xiaofei Wang, Hynek Hermansky, Shinji Watanabe, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Analysis of Temporal Resolution in Frequency Domain Linear Prediction

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

Modulation Spectrum in Speech Processing

Hynek Hermansky, 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).

Feature extraction using 2-d autoregressive models for speaker recognition

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

Towards feature-based speech metric

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

Speech Recognition, Automatic

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

Featherweight phonetic keyword search for conversational speech

Aren Jansen, Hynek Hermansky, Keith Kintzley, 2014, 2014 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 .

PLP-squared: autoregressive modeling of auditory-like 2-d spectro-temporal patterns

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

Data based filter design for RASTA-like channel normalization in ASR

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

Improving Continuous Speech Recognition System Performance with Grapheme Modelling

Hynek Hermansky, Hervé Bourlard, John Dines, 2005 .

On the importance of various modulation frequencies for speech recognition

Misha Pavel, Hynek Hermansky, Takayuki Arai, 1997, EUROSPEECH.

Analysis of Information in Speech and Its Application in Speech Recognition

Hynek Hermansky, Sachin S. Kajarekar, 2000, TSD.

Phase AutoCorrelation (PAC) features for noise robust speech recognition

Hynek Hermansky, Shajith Ikbal, Hemant Misra, 2012, Speech Commun..

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

Hynek Hermansky, Sangita Sharma, Pratibha Jain, 1999 .

Stream Attention for Distributed Multi-Microphone Speech Recognition

Xiaofei Wang, Hynek Hermansky, Ruizhi Li, 2018, INTERSPEECH.

Autoregressive Models of Amplitude Modulations in Audio Compression

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

OPTIMIZATION OF PERCEPTUALLY-BASED ASR FRONT

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

The UMD-JHU 2011 speaker recognition system

Sridhar Krishna Nemala, Mounya Elhilali, Hynek Hermansky, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Framework for Practical Multistream ASR

Hynek Hermansky, Sri Harish Reddy Mallidi, 2016, 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..

Tandem feature extraction for automatic speech recognition

Hynek Hermansky, Sunil Sivadas, 2004 .

Towards ASR on partially corrupted speech

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

Recovery of Rare Words in Lecture Speech

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

Spectral envelope sampling and interpolation in linear predictive analysis of speech

Hynek Hermansky, Yasuo Sato, Hiroya Fujisaki, 1984, ICASSP.

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

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

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.

Data-driven methods for extracting features from speech

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

Towards ASR Based on Hierarchical Posterior-Based Keyword Recognition

Hynek Hermansky, Petr Fousek, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Robust spectro-temporal features based on autoregressive models of Hilbert envelopes

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Segmentation of speech for speaker and language recognition

Hynek Hermansky, André Adami, 2003, INTERSPEECH.

Exploring Temporal Domain for Robustness in Speech Recognition

Hynek Hermansky, H. Hermansky, 1995 .

Generalized tandem feature extraction

Hynek Hermansky, Sunil Sivadas, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

A long, deep and wide artificial neural net for robust speech recognition in unknown noise

Hynek Hermansky, Phani S. Nidadavolu, Feipeng Li, 2014, INTERSPEECH.

Towards decomposing the sources of variability in speech

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

Integrating RASTA-PLP into speech recognition

Hynek Hermansky, Hans-Günter Hirsch, Nelson Morgan, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Fully integrated 500uW speech detection wake-up circuit

Hynek Hermansky, Tobi Delbrück, Raphael Berner, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

M-vectors: Sub-band Based Energy Modulation Features for Multi-stream Automatic Speech Recognition

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

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).

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).

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction

Hynek Hermansky, Sriram Ganapathy, Petr Motlicek, 2009 .

Search for Information Bearing Components in Speech

Hynek Hermansky, Howard Hua Yang, 1999, NIPS.

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

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

New nonsense syllables database - analyses and preliminary ASR experiments

Hynek Hermansky, Frantisek Grézl, Petr Fousek, 2004, INTERSPEECH.

MLP Based Phoneme Detectors for Speech Recognition

Geoffrey Zweig, Hynek Hermansky, Patrick Nguyen, 2011 .

Exploiting phoneme similarities in hybrid HMM-ANN keyword spotting

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

Sparse auto-associative neural networks: theory and application to speech recognition

Hynek Hermansky, Garimella S. V. S. Sivaram, Sriram Ganapathy, 2010, INTERSPEECH.

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.

Speech enhancement based on temporal processing PROCESSING

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

Regularized Auto-Associative Neural Networks for Speaker Verification

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

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).

Multistream Recognition of Speech: Dealing With Unknown Unknowns

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

Modulation Spectrum Analysis for Recognition of Reverberant Speech

Hynek Hermansky, Sri Harish Reddy Mallidi, Sriram Ganapathy, 2011, INTERSPEECH.

Discriminant spectrotemporal features for phoneme recognition

Sridhar Krishna Nemala, Mounya Elhilali, Hynek Hermansky, 2009, INTERSPEECH.

Spectral entropy based feature for robust ASR

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

MLP based phoneme detectors for Automatic Speech Recognition

Geoffrey Zweig, Hynek Hermansky, Patrick Nguyen, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Processing linear prediction residual for speech enhancement

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

Experiments with temporal resolution for continuous speech recognition with multi-layer perceptrons

Hynek Hermansky, Nelson Morgan, Chuck Wooters, 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.

Multi-resolution RASTA filtering for TANDEM-based ASR

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

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

Geoffrey Zweig, Aren Jansen, Hynek Hermansky, 2010 .

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

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

Estimating Classifier Performance in Unknown Noise

Hynek Hermansky, Ehsan Variani, 2012, INTERSPEECH.

Frequency offset correction in speech without detecting pitch

Aren Jansen, Hynek Hermansky, Sri Harish Reddy Mallidi, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speech enhancement based on temporal processing

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

Discriminant linear processing of time-frequency plane

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

Towards spoken term discovery at scale with zero resources

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

On Confusions in a Phoneme Recognizer

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

Sub-band based recognition of noisy speech

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

History of modulation spectrum in ASR

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

Dealing with Unexpected Words in Automatic Recognition of Speech

Hynek Hermansky, H. Hermansky, 2011, TSD.

Principal components of auditory spectro-temporal receptive fields

Hynek Hermansky, Nima Mesgarani, Nagaraj Mahajan, 2014, INTERSPEECH.

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.

Towards handling the acoustic environment in spoken language processing

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

Analysis of sources of variability in speech

Hynek Hermansky, Naren Malayath, Sachin S. Kajarekar, 1999, EUROSPEECH.

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).

On the combination of auditory and modulation frequency channels for ASR applications

Fabio Valente, Hynek Hermansky, 2008, INTERSPEECH.

Weak top-down constraints for unsupervised acoustic model training

Aren Jansen, Hynek Hermansky, Samuel Thomas, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Should recognizers have ears?

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

Static and dynamic modulation spectrum for speech recognition

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2009, INTERSPEECH.

Text-to-speech inspired duration modeling for improved whole-word acoustic models

Aren Jansen, Hynek Hermansky, Keith Kintzley, 2013, INTERSPEECH.

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

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

Multi-band and adaptation approaches to robust speech recognition

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

Factor Analysis of Auto-Associative Neural Networks With Application in Speaker Verification

Hynek Hermansky, Sri Garimella, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Speaker verification based on broad phonetic categories

Hynek Hermansky, Sachin S. Kajarekar, 2001, Odyssey.

Filter-bank optimization for Frequency Domain Linear Prediction

Hynek Hermansky, Vijayaditya Peddinti, 2013, 2013 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,.

TRAP-TANDEM: data-driven extraction of temporal features from speech

Hynek Hermansky, 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

Temporal processing of speech in a time-feature space

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

On use of task independent training data in tandem feature extraction

Hynek Hermansky, Sunil Sivadas, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Tandem representations of spectral envelope and modulation frequency features for ASR

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2009, INTERSPEECH.

Data Driven Design of Filter Bank for Speech Recognition

Hynek Hermansky, Lukás Burget, 2001, TSD.

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.

Fast Approximate Spoken Term Detection from Sequence of Phonemes

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

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.

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

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

Data-driven Posterior Features for Low Resource Speech Recognition Applications

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

Effect of filter bandwidth and spectral sampling rate of analysis filterbank on automatic phoneme recognition

Hynek Hermansky, Feipeng Li, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

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

Analysis in Automatic Recognition of Speech

Hynek Hermansky, H. Hermansky, 1999 .

Stochastic perceptual auditory-event-based models for speech recognition

Steven Greenberg, Hynek Hermansky, Hervé Bourlard, 1994, ICSLP.

The DIRAC AWEAR audio-visual platform for detection of unexpected and incongruent events

Petr Motlícek, Luc Van Gool, Misha Pavel, 2008, ICMI '08.

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

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

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

Hynek Hermansky, H. Hermansky, 2013, TSD.

In search of target class definition in tandem feature extraction

Hynek Hermansky, Sunil Sivadas, 2003, INTERSPEECH.

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).

Confidence estimation, OOV detection and language ID using phone-to-word transduction and phone-level alignments

Geoffrey Zweig, Hynek Hermansky, Lukás Burget, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Spectral noise shaping: improvements in speech/audio codec based on linear prediction in spectral domain

Petr Motlícek, Hynek Hermansky, Harinath Garudadri, 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.

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

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

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

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

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

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

DNN derived filters for processing of modulation spectrum of speech

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

Multi-encoder multi-resolution framework for end-to-end speech recognition pdf

Xiaofei Wang, Hynek Hermansky, Shinji Watanabe, 2018, ArXiv.

Significance of Contextual Information in Phoneme Recognition

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

Phoneme recognition using spectral envelope and modulation frequency features

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Comparing Different Word Lattice Rescoring Approaches Towards Keyword Spotting

Hynek Hermansky, Hervé Bourlard, Zacharie De Greve, 2007 .

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.

Data-Driven Analysis of Speech

Hynek Hermansky, H. Hermansky, 1999, TSD.

Speech Coding Based on Spectral Dynamics

Petr Motlícek, Hynek Hermansky, Harinath Garudadri, 2006, TSD.

Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR

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

Improvements in language identification on the RATS noisy speech corpus

Hynek Hermansky, Sri Harish Reddy Mallidi, Spyridon Matsoukas, 2013, INTERSPEECH.

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).

Perceptually based processing in automatic speech recognition

Hynek Hermansky, S. Makino, Hisashi Wakita, 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Identifying unexpected words using in-context and out-of-context phoneme posteriors

Hynek Hermansky, Hamed Ketabdar, 2006 .

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.

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

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

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.

Perceptual Properties of Current Speech Recognition Technology

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

Multi-stream recognition of noisy speech with performance monitoring

Hynek Hermansky, Ehsan Variani, Feipeng Li, 2013, INTERSPEECH.

Sparse Multilayer Perceptron for Phoneme Recognition

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

Reverse Correlation for Analyzing MLP Posterior Features in ASR

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

Editorial

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

Automatic Speech Recognition: an Auditory Perspective

Hynek Hermansky, Hervé Bourlard, Nelson Mogran, 2004 .

Data-driven extraction of spectral-dynamics based posteriors

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

Automatic speech recognition and human auditory perception

Hynek Hermansky, H. Hermansky, 1987, ECST.

Posterior-based out of vocabulary word detection in telephone speech

Hynek Hermansky, Lukás Burget, Pavel Matejka, 2009, INTERSPEECH.

Frequency Domain Linear Prediction for QMF Sub-bands and Applications to Audio Coding

Petr Motlícek, Hynek Hermansky, Harinath Garudadri, 2007, MLMI.

Stream Attention-based Multi-array End-to-end Speech Recognition

Xiaofei Wang, Hynek Hermansky, Shinji Watanabe, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Assessing Speech Quality in Speech-Aware Hearing Aids Based on Phoneme Posteriorgrams

Hynek Hermansky, Constantin Spille, Bernd T. Meyer, 2016, INTERSPEECH.

Performance monitoring for robustness in automatic recognition of speechi

Hynek Hermansky, Nima Mesgarani, Samuel Thomas, 2011, MLSLP.

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

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

Stochastic perceptual models of speech

Steven Greenberg, Hynek Hermansky, Nelson Morgan, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

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

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

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).

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).

Novel approaches for one- and two-speaker detection

Hynek Hermansky, Sachin S. Kajarekar, André Adami, 2003, INTERSPEECH.

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..

Entropy based combination of tandem representations for noise robust ASR

Hynek Hermansky, Hervé Bourlard, Shajith Ikbal, 2004, INTERSPEECH.

Comparison of Different Approaches for Speech Recognition in Hands-free Mode

Hynek Hermansky, Hans-Günter Hirsch, Sriram Ganapathy, 2012, ITG Conference on Speech Communication.

A multistream multiresolution framework for phoneme recognition

Hynek Hermansky, Nima Mesgarani, Samuel Thomas, 2010, INTERSPEECH.

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).

Event Selection from Phone Posteriorgrams Using Matched Filters

Aren Jansen, Hynek Hermansky, Keith Kintzley, 2011, INTERSPEECH.

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).

A phoneme recognition framework based on auditory spectro-temporal receptive fields

Hynek Hermansky, Nima Mesgarani, Samuel Thomas, 2010, 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 the effects of short-term spectrum smoothing in channel normalization

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

Multi-layer perceptron based speech activity detection for speaker verification

Hynek Hermansky, Padmanabhan Rajan, Sriram Ganapathy, 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Performance Monitoring for End-to-End Speech Recognition pdf

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

An Alternative to MFCCs for ASR

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

Acoustic and Data-driven Features for Robust Speech Activity Detection

Hynek Hermansky, Sri Harish Reddy Mallidi, Spyridon Matsoukas, 2012, INTERSPEECH.

Hierarchical neural networks feature extraction for LVCSR system

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

Arithmetic coding of sub-band residuals in FDLP speech/audio codec

Petr Motlícek, Hynek Hermansky, Sriram Ganapathy, 2009, INTERSPEECH.

Temporal resolution analysis in frequency domain linear prediction.

Hynek Hermansky, Sriram Ganapathy, 2012, The Journal of the Acoustical Society of America.

Multiresolution channel normalization for ASR in reverberant environments

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

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.

Spectral basis functions from discriminant analysis

Hynek Hermansky, Naren Malayath, 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).

Error Resilient Speech Coding Using Sub-band Hilbert Envelopes

Petr Motlícek, Hynek Hermansky, Sriram Ganapathy, 2009, TSD.

Hierarchical tandem feature extraction

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

Exploiting temporal context for speech/non-speech detection

Sree Hari Krishnan Parthasarathi, Hynek Hermansky, Petr Motlicek, 2008 .

A new speaker change detection method for two-speaker segmentation

Hynek Hermansky, Sachin S. Kajarekar, Andre G. Adam, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Hilbert Envelope Based Features for Far-Field Speech Recognition

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

DIRAC: Detection and Identification of Rare Audio-Visual Events

Luc Van Gool, Misha Pavel, Daphna Weinshall, 2012, Detection and Identification of Rare Audiovisual Cues.

Temporal envelope compensation for robust phoneme recognition using modulation spectrum.

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2010, The Journal of the Acoustical Society of America.

The use of spike-based representations for hardware audition systems

Hynek Hermansky, John G. Harris, Shih-Chii Liu, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Band-independent speech-event categories for TRAP based ASR

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

Hilbert envelope based spectro-temporal features for phoneme recognition in telephone speech

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

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

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

Nonlinear spectral transformations for robust speech recognition

Hynek Hermansky, Hervé Bourlard, Shajith Ikbal, 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

Continual Learning in Automatic Speech Recognition

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

Optimization of units for continuous-digit recognition task

Hynek Hermansky, Sachin S. Kajarekar, 2000, INTERSPEECH.

Spectro-temporal features for Automatic Speech Recognition using Linear Prediction in spectral domain

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2008, 2008 16th European Signal Processing Conference.

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.

Recognition of Reverberant Speech Using Frequency Domain Linear Prediction

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

Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop

Richard M. Stern, Tetsuji Ogawa, Hynek Hermansky, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

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

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

Modeling prosodic differences for speaker and language recognition

Hynek Hermansky, Andre Gustavo Adami, 2004 .

Exploring Methods for the Automatic Detection of Errors in Manual Transcription

Xiaofei Wang, Hynek Hermansky, Ruizhi Li, 2019, INTERSPEECH.

Introducing temporal asymmetries in feature extraction for automatic speech recognition

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

MRASTA and PLP in automatic speech recognition

S. R. Mahadeva Prasanna, Hynek Hermansky, 2007, INTERSPEECH.

Performance monitoring for automatic speech recognition in noisy multi-channel environments

Hynek Hermansky, Sri Harish Reddy Mallidi, Bernd T. Meyer, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

Speech variability in the modulation spectral domain - SANOVA technique -

Sarel van Vuuren, Hynek Hermansky, 1999, EUROSPEECH.

Phase autocorrelation (PAC) features in entropy based multi-stream for robust speech recognition

Hynek Hermansky, Hervé Bourlard, Shajith Ikbal, 2004, 2004 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).

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.

Auditory Modeling in Automatic Recognition of Speech

Hynek Hermansky, H. Hermansky, 1996 .

Phone recognition in critical bands using sub-band temporal modulations

Hynek Hermansky, Sri Harish Reddy Mallidi, Feipeng Li, 2012, INTERSPEECH.

TRAPS - classifiers of temporal patterns

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

Analysis and synthesis of speech based on spectral transform linear predictive method

Hynek Hermansky, Yasuo Sato, Hiroya Fujisaki, 1983, ICASSP.

Temporal masking for bit-rate reduction in audio codec based on Frequency Domain Linear Prediction

Petr Motlícek, Hynek Hermansky, Harinath Garudadri, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Human Speech Perception: Some Lessons from Automatic Speech Recognition

Hynek Hermansky, H. Hermansky, 2001, TSD.

Distributed speech recognition using noise-robust MFCC and traps-estimated manner features

Brian Kingsbury, Hynek Hermansky, Pratibha Jain, 2002, INTERSPEECH.

Exploiting Contextual Information for Speech/Non-Speech Detection

Petr Motlícek, Sree Hari Krishnan Parthasarathi, Hynek Hermansky, 2008, TSD.

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.

Entropy coding of Quantized Spectral Components in FDLP audio codec

Hynek Hermansky, Sriram Ganapathy, Petr Motlicek, 2008 .

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.

Data-driven design of RASTA-like filters

Sarel van Vuuren, Hynek Hermansky, 1997, EUROSPEECH.

Hierarchical and parallel processing of modulation spectrum for ASR applications

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

Phoneme Recognition Using Temporal Patterns

Hynek Hermansky, Pavel Matejka, Jan Cernocký, 2003, TSD.

Temporal patterns of critical-band spectrum for text-to-speech

Hynek Hermansky, Pratibha Jain, 2000, INTERSPEECH.

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.

Enhancement of reverberant speech using LP residual

Hynek Hermansky, Bayya Yegnanarayana, Carlos Avendaño, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Analysis of variability in speech with applications to speech and speaker recognition

Hynek Hermansky, Sachin Kajarekar, 2002 .

The Analysis and Representation of Speech

Hynek Hermansky, Li Deng, Ben Gold, 2004 .

Phase AutoCorrelation (PAC) Features for Noise Robust ASR

Hynek Hermansky, Hervé Bourlard, Shajith Ikbal, 2004 .

Towards increasing speech recognition error rates

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

Stream Attention for far-field multi-microphone ASR pdf

Xiaofei Wang, Yonghong Yan, Hynek Hermansky, 2017, ArXiv.

Evaluation and optimization of perceptually-based ASR front-end

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

Bark resolution from speech data

Hynek Hermansky, Naren Malayath, 2002, INTERSPEECH.

Using comparison of parallel phoneme probability streams for OOV word detection

Hynek Hermansky, Tamara Tosic, Mathew Magimai-Doss, 2008, 2008 16th European Signal Processing Conference.

S OF' MODULATION SPECTRUM FOR ROBUST.AUTOMATI(C SPEEG RECOGNITION

Hynek Hermansky, Takayuki Arai, Noboru Kanedera, 1998 .

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.

Adaptation transforms of auto-associative neural networks as features for speaker verification

Hynek Hermansky, Sri Harish Reddy Mallidi, Samuel Thomas, 2012, Odyssey.

Modulation frequency features for phoneme recognition in noisy speech.

Hynek Hermansky, Samuel Thomas, Sriram Ganapathy, 2009, The Journal of the Acoustical Society of America.

Phoneme vs Grapheme Based Automatic Speech Recognition

Hynek Hermansky, Hervé Bourlard, John Dines, 2004 .

Analysis of Information in Speech Based on MANOVA

Hynek Hermansky, Sachin S. Kajarekar, 2002, NIPS.

Non-uniform Speech/Audio Coding Exploiting Predictability of Temporal Evolution of Spectral Envelopes

Petr Motlícek, Hynek Hermansky, Harinath Garudadri, 2007, TSD.

Stochastic techniques in deriving perceptual knowledge

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

DESIRED CHARACTERISTICS OF MODULATION SPECTRUM FOR ROBUST AUTOMATIC SPEECH RECOGNITION

Hynek Hermansky, Takayuki Arai, Noboru Kanedera, 1998 .

RASTA processing of speech

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

Down-sampling speech representation in ASR

Hynek Hermansky, Pratibha Jain, 1999, EUROSPEECH.

Multi-stream features combination based on dempster-shafer rule for LVCSR system

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

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.

Discriminative MLPs in HMM-based recognition of speech in cellular telephony

Hynek Hermansky, Pratibha Jain, Sunil Sivadas, 2000, INTERSPEECH.

Multi-Stream End-to-End Speech Recognition

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

Towards subband-based speech recognition

Hynek Hermansky, Hervé Bourlard, Nelson Morgan, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Some Emerging Concepts in Speech Recognition.

Hynek Hermansky, Hervé Bourlard, 2003 .

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

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

Combination of strongly and weakly constrained recognizers for reliable detection of OOVS

Hynek Hermansky, Ariya Rastrow, Lukás Burget, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

The purpose, history, current state, and some evolving trends in feature extraction for speech recognition

Hynek Hermansky, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

Rapid Evaluation of Speech Representations for Spoken Term Discovery

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

Radically Old Way of Computing Spectra: Applications in End-to-End ASR pdf

Hynek Hermansky, Samik Sadhu, 2021, Interspeech 2021.

Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness of Multi-Stream end-to-end ASR

Hynek Hermansky, Gregory Sell, Ruizhi Li, 2021, 2021 IEEE Spoken Language Technology Workshop (SLT).

Intelligibility of speech with filtered time trajectories of LPC cepstrum

Misha Pavel, Hynek Hermansky, Takayuki Arai, 1996 .

Speaker-Independent Feature Extraction by Oriented Principal Component Analysis

Hynek Hermansky, Rolf Carlson, Alexander Kain, 1997 .

Autoregressive Modelling of Hilbert Envelopes for Wide-band Audio Coding

Hynek Hermansky, Harinath Garudadri, Sriram Ganapathy, 2008 .

Noise resistant auditory model for parametrization of speech

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

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

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

Why is the formant frequency difference limen asymmetric

Hynek Hermansky, 1987 .

6 Automatic Speech Recognition : An Auditory Perspective

Hynek Hermansky, Hervé Bourlard, Nelson Morgan, .

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

Hynek Hermansky, Harinath Garudadri, Sriram Ganapathy, 2007 .

SPEECH RECOGNITION FROM TEMPORAL PATTERNS

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

Workshop on spoken language understanding

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

Evaluation of ASR front ends using synthetic vowel‐like sounds

Hynek Hermansky, Hector Javkin, 1986 .

Sarel Van Vuuren and Hynek Hermansky, "!mess: a Modular, Efficient Speaker Veriff Ication System,"" !mess: a Modular, Efficient Speaker Verification System

Hynek Hermansky, 1998 .