R. Stern

发表

Environmental robustness in automatic speech recognition

Richard M. Stern, Alejandro Acero, A. Acero, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Fast Computation of the Difference of Low-Pass Transform

Richard M. Stern, James L. Crowley, J. Crowley, 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Lateralization of complex binaural stimuli: a weighted-image model.

A. Zeiberg, R. Stern, C. Trahiotis, 1988, The Journal of the Acoustical Society of America.

The 1997 CMU Sphinx-3 English Broadcast News Transcription System

Richard M. Stern, Bhiksha Raj, Stanley F. Chen, 1997 .

Dynamic speaker adaptation for feature-based isolated word recognition

Richard M. Stern, Moshé J. Lasry, R. Stern, 1987, IEEE Trans. Acoust. Speech Signal Process..

On the effects of speech rate in large vocabulary speech recognition systems

Richard M. Stern, Matthew A. Siegler, R. Stern, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

The Technology of Binaural Listening & Understanding : Paper ICA 1016-633 Binaural technology and automatic speech recognition

Richard M. Stern, Amir R. Moghimi, Chanwoo Kim, 2016 .

8 Features Based on Auditory Physiology and Perception

N. Morgan, R. Stern, 2012 .

MODELS OF BINAURAL PERCEPTION

Richard M. Stern, Constantine Trahiotis, R. Stern, 1999 .

Spanish Broadcast News Transcription System

Stanley F. Chen, R. Stern, J. Huerta, 2001 .

ADAPTATION AND COMPENSATION : APPROACHES TO MICR OPHONE AND SPEAKER INDEPENDENCE IN AUTOMATIC SPEECH RECOGNITION

P. Moreno, B. Raj, R. Stern, 1996 .

Speaker normalization through formant-based warping of the frequency scale

Evandro B. Gouvêa, Richard M. Stern, R. Stern, 1997, EUROSPEECH.

Multivariate-Gaussian-based cepstral normalization for robust speech recognition

Evandro B. Gouvêa, Richard M. Stern, Bhiksha Raj, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

APPROACHES TO ENVIRONMENT COMPENSATION IN AUTOMATIC SPEECH RECOGNITION

P. Moreno, B. Raj, R. Stern, 1995 .

Automatic Threshold Selection Algorithm for Sound Source Separation Based on Inter-microphone Time Difference

R. Stern, Chanwoo Kim, 2013 .

ROBUST SPEECH RECOGNITION BASED ON HUMAN BINAURAL PERCEPTION

R. Stern, T. M. Sullivan, 2000 .

Chapter 8 Robust Features in Deep Learning-Based Speech Recognition

Julien van Hout, H. Franco, M. Graciarena, 2016 .

Histogram-based subband powerwarping and spectral averaging for robust speech recognition under matched and multistyle training

Richard M. Stern, Mark Harvilla, R. Stern, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Reconstruction of missing features for robust speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2004, Speech Commun..

Missing-Feature Approaches in Speech Recognition [ Improving recognition accuracy in noise by using partial spectrographic information ]

B. Raj, R. Stern, 2009 .

Speech recognizer-based microphone array processing for robust hands-free speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Optimization of the parameters characterizing sigmoidal rate-level functions based on acoustic features

Richard M. Stern, Néstor Becerra Yoma, Vı́ctor Poblete, 2014, Speech Commun..

Environmental robustness in automatic speech recognition using physiologic ally-motivated signal processing

Richard M. Stern, Yoshiaki Ohshima, R. Stern, 1994, ICSLP.

Informedia at TRECVID2014: MED and MER, Semantic Indexing, Surveillance Event Detection

Shiguang Shan, Richard M. Stern, Bhiksha Raj, 2014 .

Signal and Feature Compensation Methods for Robust Speech Recognition

B. Raj, R. Stern, Rita Singh, 2018, Noise Reduction in Speech Applications.

CMU-Informedia @ TRECVID 2013 Multimedia Event Detection

Florian Metze, Richard M. Stern, Bhiksha Raj, 2013 .

Carnegie-Mellon University FAST COMPUTATION OF C THE DIFFERENCE OF LOW-PASS TRANSFORM ts " 0411

J. Crowley, R. Stern, 2022 .

Improving the Performance of LVCSR Using Ensemble of Acoustic Models

Alexander I. Rudnicky, Tanja Schultz, K. Visweswariah, 2006 .

EXTRACTION FOR ROBUST AUTOMATIC SPEECH RECOGNITION USING SYNCHRONY OF ZERO CROSSINGS

R. Stern, Rita Singh, P. Ponce, 2022 .

APPROACHES TO MICROPHONE INDEPENDENCE IN AUTOMATIC SPEECH RECOGNITION

P. Moreno, B. Raj, R. Stern, 2003 .

Normalization of Time-Derivative Parameters for Robust Speech Recognition in Small Devices

Richard M. Stern, Yasunari Obuchi, Nobuo Hataoka, 2004, IEICE Trans. Inf. Syst..

Lateralization predictions for high‐frequency binaural stimuli

T. Zeppenfeld, R. Stern, G. D. Shear, 1988 .

Performing fine phonetic distinctions: templates versus features

Ronald A. Cole, Richard M. Stern, Moshé J. Lasry, 1990 .

An integrated approach to improve speech recognition rate for non-native speakers

Richard M. Stern, Bhiksha Raj, Chiman Kwan, 2006, INTERSPEECH.

Effect of Titrated Exposure to Non-Traumatic Noise on Unvoiced Speech Recognition in Human Listeners with Normal Audiological Profiles

Christopher A. Brown, Christopher A Brown, R. Stern, 2022, Trends in hearing.

Temporal Context in Speech Emotion Recognition

Alexander I. Rudnicky, Richard M. Stern, Yangyang Xia, 2021, Interspeech.

Automatic Guitar Tablature Transcription from Audio Using Inharmonicity Regression and Bayesian Classification

Richard M. Stern, Thomas M. Sullivan, Jonathan Michelson, 2018 .

Binaural Mechanisms that Emphasize Consistent Interaural Timing Information over Frequency

Richard M. Stern, Constantine Trahiotis, R. Stern, 2000 .

Model Compensation and Matched Condition Methods for Robust Speech Recognition

Richard M. Stern, Bhiksha Raj, Rita Singh, 2002, Noise Reduction in Speech Applications.

Interaural Correlation as the Basis of a Working Model of Binaural Processing: An Introduction

Richard M. Stern, Constantine Trahiotis, Leslie R. Bernstein, 2005 .

Compensation for environmental and speaker variability by normalization of pole locations

Richard M. Stern, Juan M. Huerta, R. Stern, 1997, EUROSPEECH.

FLUCTUATIONS IN AMPLITUDE AND FREQUENCY ENABLE INTERAURAL DELAYS TO FOSTER THE IDENTIFICATION OF SPEECH-LIKE STIMULI

Richard M. Stern, Constantine Trahiotis, Angelo M. Ripepi, 2005 .

Binaural Technology for Machine Speech Recognition and Understanding

Richard M. Stern, Anjali Menon, R. Stern, 2020 .

Binaural processing for robust speech recognition of degraded speech

Richard M. Stern, Chanwoo Kim, Umpei Kurokawa, 2017 .

The Application of Learnable STRF Kernels to the 2021 Fearless Steps Phase-03 SAD Challenge

Richard M. Stern, Yangyang Xia, Tyler Vuong, 2021, Interspeech.

Learnable Front Ends Based on Temporal Modulation for Music Tagging

R. Stern, Yi Ma, 2022, ArXiv.

Robust speech recognition using missing features

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2003 .

INVITED PAPERS / MULTIPLE APPROACHES TO ROBUST SPEECH RECOGNITION

Richard M. Stern, Thomas M. Sullivan, Pedro J. Moreno, 1994 .

Power-Normalized Cepstral Coefficients (PNCC) for robust speech recognition

R. Stern, Chanwoo Kim, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Subband-Based Stationary-Component Suppression Method Using Harmonics and Power Ratio for Reverberant Speech Recognition

Richard M. Stern, Ji-Won Cho, Hyung-Min Park, 2016, IEEE Signal Processing Letters.

Nonlinear enhancement of onset for robust speech recognition

Richard M. Stern, Chanwoo Kim, R. Stern, 2010, INTERSPEECH.

Robust Features in Deep-Learning-Based Speech Recognition

John H. L. Hansen, Abeer Alwan, Wen Wang, 2017, New Era for Robust Speech Recognition, Exploiting Deep Learning.

Delta-spectral cepstral coefficients for robust speech recognition

Richard M. Stern, Chanwoo Kim, Kshitiz Kumar, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The fMRI Data of Thompson et al. (2006) Do Not Constrain How the Human Midbrain Represents Interaural Time Delay

R. Stern, H. Colburn, C. Trahiotis, 2019, Journal of the Association for Research in Otolaryngology.

A framework for testing and comparing binaural models

Richard M. Stern, Piotr Majdak, Mathias Dietz, 2017, Hearing Research.

Hearing Is Believing: Biologically Inspired Methods for Robust Automatic Speech Recognition

Richard M. Stern, Nelson Morgan, N. Morgan, 2012, IEEE Signal Processing Magazine.

Features Based on Auditory Physiology and Perception

Richard M. Stern, Nelson Morgan, N. Morgan, 2012, Techniques for Noise Robustness in Automatic Speech Recognition.

Biologically inspired methods for robust automatic speech recognition )

Richard M. Stern, Nelson Morgan, N. Morgan, 2012 .

Spatial separation of speech signals using amplitude estimation based on interaural comparisons of zero-crossings

Richard M. Stern, Hyung-Min Park, R. Stern, 2009, Speech Commun..

Binaural and Multiple-Microphone Signal Processing Motivated by Auditory Perception

Hyung-Min Park, Chanwoo Kim, R.M. Stern, 2008, 2008 Hands-Free Speech Communication and Microphone Arrays.

Signal Separation Motivated by Human Auditory Perception: Applications to Automatic Speech Recognition

Richard M. Stern, R. Stern, 2005, Speech Separation by Humans and Machines.

Lateralization and detection of low‐frequency binaural stimuli: Effects of distribution of internal delay

Richard M. Stern, R. Stern, Glenn D. Shear, 1996 .

Chapter 10 – Models of Binaural Interaction

Richard M. Stern, R. Stern, 1995 .

Across-frequency interaction in lateralization of complex binaural stimuli.

C Trahiotis, R. Stern, C. Trahiotis, 1994, The Journal of the Acoustical Society of America.

Multi-microphone correlation-based processing for robust speech recognition

Richard M. Stern, Thomas M. Sullivan, R. Stern, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Additive versus multiplicative combination of differences of interaural time and intensity.

R. Stern, Samuel H. Tao, 1992 .

The Role of Consistency of Interaural Timing Over Frequency in Binaural Lateralization

Richard M. Stern, Constantine Trahiotis, R. Stern, 1992 .

Lateralization of rectangularly modulated noise: explanations for counterintuitive reversals.

T. Zeppenfeld, R. Stern, R M Stern, 1991, The Journal of the Acoustical Society of America.

Dynamic Cues in Binaural Perception

Richard M. Stern, Stephen J. Bachorski, R. Stern, 1983 .

Theory of binaural interaction based in auditory-nerve data. IV. A model for subjective lateral position.

H S Colburn, R. Stern, H. Colburn, 1978, The Journal of the Acoustical Society of America.

Exploring the robustness of features and enhancement on speech recognition systems in highly-reverberant real environments pdf

Richard M. Stern, Simon King, Néstor Becerra Yoma, 2018, ArXiv.

Robustness Over Time-Varying Channels in DNN-HMM ASR Based Human-Robot Interaction

Richard M. Stern, Néstor Becerra Yoma, Jorge Wuth, 2017, INTERSPEECH.

Synchrony-Based Feature Extraction for Robust Automatic Speech Recognition

Richard M. Stern, Fernando de-la-Calle-Silos, R. Stern, 2017, IEEE Signal Processing Letters.

Locally Normalized Filter Banks Applied to Deep Neural-Network-Based Robust Speech Recognition

Richard M. Stern, Simon King, Néstor Becerra Yoma, 2017, IEEE Signal Processing Letters.

Power-Normalized Cepstral Coefficients (PNCC) for Robust Speech Recognition

Richard M. Stern, Chanwoo Kim, R. Stern, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

A perceptually-motivated low-complexity instantaneous linear channel normalization technique applied to speaker verification

Richard M. Stern, Simon King, Néstor Becerra Yoma, 2015, Comput. Speech Lang..

Perceptual Properties of Current Speech Recognition Technology

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

Optimization of sigmoidal rate-level function based on acoustic features

Richard M. Stern, Néstor Becerra Yoma, Víctor Poblete, 2013, INTERSPEECH.

Learning-based auditory encoding for robust speech recognition

Richard M. Stern, Bhiksha Raj, Yu-Hsiang Bosco Chiu, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Applying physiologically-motivated models of auditory processing to automatic speech recognition

Richard M. Stern, R. Stern, 2011 .

Analysis of physiologically-motivated signal processing for robust speech recognition

Richard M. Stern, Yu-Hsiang Bosco Chiu, R. Stern, 2008, INTERSPEECH.

Physiologically-motivated synchrony-based processing for robust automatic speech recognition

Richard M. Stern, Yu-Hsiang Bosco Chiu, Chanwoo Kim, 2006, INTERSPEECH.

Data-driven environmental compensation for speech recognition: A unified approach

Richard M. Stern, Bhiksha Raj, Pedro J. Moreno, 1998, Speech Commun..

Signal Processing for Robust Speech Recognition

Richard M. Stern, Alex Acero, Pedro J. Moreno, 1994, HLT.

Multiple Approaches to Robust Speech Recognition

Richard M. Stern, Alex Acero, Thomas M. Sullivan, 1992, HLT.

Robust speech recognition by normalization of the acoustic space

Richard M. Stern, Alejandro Acero, A. Acero, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

EXTRACTION FOR ROBUST AUTOMATIC SPEECH RECOGNITION USING SYNCHRONY OF ZERO CROSSINGS

R. Stern, Rita Singh, P. Ponce, 2022 .

Robustness to additive noise of locally-normalized cepstral coefficients in speaker verification

Richard M. Stern, Simon King, Néstor Becerra Yoma, 2015, INTERSPEECH.

Integration of continuous speech recognition and information retrieval for mutually optimal performance

Richard M. Stern, Matthew Siegler, R. Stern, 1999 .

Sonometric Evaluation of Eustachian Tube Function Using Broadband Stimuli

R. Stern, E. Cantekin, C. Bluestone, 1980, The Annals of otology, rhinology & laryngology. Supplement.

Classification of Spectral Patterns Obtained from Eustachian Tube Sonometry

R. Stern, E. Cantekin, C. Bluestone, 1982, IEEE Transactions on Biomedical Engineering.

Speaker adaptation in continuous speech recognition via estimation of correlated mean vectors

Richard M. Stern, W. A. Rozzi, R. Stern, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Inter-class MLLR for speaker adaptation

Richard M. Stern, Sam-Joo Doh, R. Stern, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Environment normalization for robust speech recognition using direct cepstral comparison

Richard M. Stern, Alex Acero, Pedro J. Moreno, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Efficient joint compensation of speech for the effects of additive noise and linear filtering

Richard M. Stern, Fu-Hua Liu, A. Acero, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Single-channel speech separation based on instantaneous frequency

Richard M. Stern, Lingyun Gu, R. Stern, 2010 .

Spatial Separation of Speech Signals Using Continuously-Variable Masks Estimated From Comparisons of Zero Crossings

Richard M. Stern, Hyung-Min Park, R. Stern, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

A Bayesian classifier for spectrographic mask estimation for missing feature speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2004, Speech Commun..

A vector Taylor series approach for environment-independent speech recognition

Richard M. Stern, Bhiksha Raj, Pedro J. Moreno, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

An iterative least-squares technique for dereverberation

Richard M. Stern, Bhiksha Raj, Rita Singh, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Missing-feature approaches in speech recognition

R.M. Stern, B. Raj, B. Raj, 2005, IEEE Signal Processing Magazine.

Likelihood-maximizing beamforming for robust hands-free speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2004, IEEE Transactions on Speech and Audio Processing.

Using class weighting in inter-class MLLR

Richard M. Stern, Sam-Joo Doh, R. Stern, 2000, INTERSPEECH.

A Posteriori Estimation of Correlated Jointly Gaussian Mean Vectors

Richard M. Stern, Moshé J. Lasry, R. Stern, 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Creating Multi-Modal, User-Centric Records of Meetings with the Carnegie Mellon Meeting Recorder Architecture

Alexander I. Rudnicky, Richard M. Stern, Satanjeev Banerjee, 2004 .

Robust signal-to-noise ratio estimation based on waveform amplitude distribution analysis

Richard M. Stern, Chanwoo Kim, R. Stern, 2008, INTERSPEECH.

Least squares signal declipping for robust speech recognition

Richard M. Stern, Mark Harvilla, R. Stern, 2014, INTERSPEECH.

Erratum: Lateralization of complex binaural stimuli: A weighted‐image model [J. Acoust. Soc. Am. 84, 156–165 (1988)]

Richard M. Stern, Constantine Trahiotis, A. Zeiberg, 1991 .

Non causal deep learning based dereverberation pdf

Richard M. Stern, Jorge Wuth, Nestor Becerra Yoma, 2020, ArXiv.

On combining features for single-channel robust speech recognition in reverberant environments pdf

Richard M. Stern, Néstor Becerra Yoma, Fernando Huenupán, 2019, ArXiv.

An approach to cardiac arrhythmia analysis using hidden Markov models

G.G. Cano, S.A. Briller, D.A. Coast, 1990, IEEE Transactions on Biomedical Engineering.

Informedia@TrecVID 2014: MED and MER

Shiguang Shan, Florian Metze, Alexander Hauptmann, 2014 .

Semantic Indexing

S. Shan, P. D. Sahin, Zhongwen Xu, 2014 .

Multimedia Event Detection and Recounting

Florian Metze, Alexander Hauptmann, Bhiksha Raj, 2013 .

Efficient Cepstral Normalization for Robust Speech Recognition

Richard M. Stern, Alex Acero, Xuedong Huang, 1993, HLT.

Profile View Lip Reading

Tsuhan Chen, Richard M. Stern, Kshitiz Kumar, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Efficient Real Spherical Harmonic Representation of Head-Related Transfer Functions

Richard M. Stern, Brian D. Simpson, Douglas Brungart, 2015, IEEE Journal of Selected Topics in Signal Processing.

Feature-based speaker-independent recognition of isolated english letters

Ronald A. Cole, Richard M. Stern, Michael S. Phillips, 1983, ICASSP.

Informedia e-lamp @ TRECVID 2012 multimedia event detection and recounting MED and MER

Richard M. Stern, Bhiksha Raj, Rita Singh, 2012 .

L3DAS22: Exploring Loss Functions for 3D Speech Enhancement

R. Stern, Yangyang Xia, Tyler Vuong, 2022, L3DAS22: Machine Learning for 3D Audio Signal Processing.

Missing Feature Speech Recognition using Dereverberation and Echo Suppression in Reverberant Environments

Richard M. Stern, Hyung-Min Park, R. Stern, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

A Modulation-Domain Loss for Neural-Network-Based Real-Time Speech Enhancement

Richard M. Stern, Yangyang Xia, Tyler Vuong, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sources of degradation of speech recognition in the telephone network

Richard M. Stern, Pedro J. Moreno, P. Moreno, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Improved Modulation-Domain Loss for Neural-Network-based Speech Enhancement

R. Stern, Tyler Vuong, 2022, INTERSPEECH.

A Priori SNR Estimation Based on a Recurrent Neural Network for Robust Speech Enhancement

Richard Stern, Yangyang Xia, R. Stern, 2018, INTERSPEECH.

Robust speech recognition using a Small Power Boosting algorithm

Richard M. Stern, Chanwoo Kim, Kshitiz Kumar, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Power function-based power distribution normalization algorithm for robust speech recognition

Richard M. Stern, Chanwoo Kim, R. Stern, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Robust speech recognition using temporal masking and thresholding algorithm

Richard M. Stern, Michiel Bacchiani, K. K. Chin, 2014, INTERSPEECH.

Learning-Based Auditory Encoding for Robust Speech Recognition

B. Raj, R. Stern, Y. Chiu, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Minimum variance modulation filter for robust speech recognition

Richard M. Stern, Yu-Hsiang Bosco Chiu, R. Stern, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Towards fusion of feature extraction and acoustic model training: a top down process for robust speech recognition

Richard M. Stern, Bhiksha Raj, Yu-Hsiang Bosco Chiu, 2009, INTERSPEECH.

Microphone array processing for robust speech recognition

Richard M. Stern, Michael L. Seltzer, M. Seltzer, 2003 .

Speech in Noisy Environments: robust automatic segmentation, feature extraction, and hypothesis combination

Richard M. Stern, Bhiksha Raj, Rita Singh, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Mask classification for missing-feature reconstruction for robust speech recognition in unknown background noise

Richard M. Stern, Wooil Kim, R. Stern, 2011, Speech Commun..

Robust speech recognition

Richard M. Stern, R. Stern, 1997 .

Robust Recognition of Reverberant and Noisy Speech Using Coherence-based Processing

Richard M. Stern, Chanwoo Kim, Anjali Menon, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic generation of subword units for speech recognition systems

Richard M. Stern, Bhiksha Raj, Rita Singh, 2002, IEEE Trans. Speech Audio Process..

Speech recognition from GSM codec parameters

Richard M. Stern, Juan M. Huerta, R. Stern, 1998, ICSLP.

Combination and generation of parallel feature streams for improved speech recognition

Xiang Li, Richard M. Stern, R. Stern, 2005 .

Duration normalization for robust recognition of spontaneous speech via missing feature methods

Richard M. Stern, Jon P. Nedel, R. Stern, 2004 .

Speech recognition in mobile environments

Richard M. Stern, Juan M. Huerta, R. Stern, 2000 .

Distortion-class modeling for robust speech recognition under GSM RPE-LTP coding

Richard M. Stern, Juan M. Huerta, R. Stern, 2000, Speech Commun..