Richard M. Stern

发表

Speaker normalization through formant-based warping of the frequency scale

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

Towards Environment-Independent Spoken Language Systems

Richard M. Stern, Alex Acero, 1990, HLT.

Automatic clustering and generation of contextual questions for tied states in hidden Markov models

Richard M. Stern, Bhiksha Raj, Rita Singh, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Features Based on Auditory Physiology and Perception

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

A framework for testing and comparing binaural models

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

Learning-Based Auditory Encoding for Robust Speech Recognition

Richard M. Stern, Bhiksha Raj, Yu-Hsiang Bosco Chiu, 2012, IEEE Trans. Speech Audio Process..

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.

Automatic selection of thresholds for signal separation algorithms based on interaural delay

Richard M. Stern, Jaewon Lee, Chanwoo Kim, 2010, INTERSPEECH.

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.

Speaker segmentation and clustering for simultaneously presented speech

Richard M. Stern, Lingyun Gu, 2009, INTERSPEECH.

Efficient audio declipping using regularized least squares

Richard M. Stern, Mark Harvilla, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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).

Subband Likelihood-Maximizing Beamforming for Speech Recognition in Reverberant Environments

Richard M. Stern, Michael L. Seltzer, 2006, IEEE Transactions on Audio, Speech, and Language 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.

THE DEVELOPMENT OF THE 1997 CMU SPANISH BROADCAST NEWS TRANSCRIPTION SYSTEM

Richard M. Stern, Mosur Ravishankar, Eric H. Thayer, 1997 .

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

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

Gammatone sub-band magnitude-domain dereverberation for ASR

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

"polyaural" Array Processing for Automatic Speech Recognition in Degraded Environments

Evandro B. Gouvêa, Richard M. Stern, Govindarajan Thattai, 2007, INTERSPEECH.

Post-masking: a hybrid approach to array processing for speech recognition

Richard M. Stern, Bhiksha Raj, Amir R. Moghimi, 2014, INTERSPEECH.

Reconstruction of incomplete spectrograms for robust speech recognition

Richard M. Stern, Bhiksha Raj Ramakrishnan, R. Stern, 2000 .

Least squares signal declipping for robust speech recognition

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

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).

RECOGNITION OF CONTINUOUS BROADCAST NEWS WITH MULTIPLE UNKNOWN SPEAKERS AND ENVIRONMENTS

Richard M. Stern, Bhiksha Raj, Pedro J. Moreno, 1995 .

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.

Performing fine phonetic distinctions: templates versus features

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

Optimization of sigmoidal rate-level function based on acoustic features

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

Acoustical Pre-processing for Robust Speech Recognition

Richard M. Stern, Alex Acero, 1989, HLT.

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.

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.

Instantaneous-distortion based weighted acoustic modeling for robust recognition of coded speech

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

Feature-based speaker-independent recognition of isolated english letters

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

Environmental robustness in automatic speech recognition

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

Automatic generation of subword units for speech recognition systems

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

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

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

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

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

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

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

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..

Speech recognition from GSM codec parameters

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

Normalization of time-derivative parameters using histogram equalization

Richard M. Stern, Yasunari Obuchi, 2003, INTERSPEECH.

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.

Inference of missing spectrographic features for robust speech recognition

Richard M. Stern, Bhiksha Raj, Rita Singh, 1998, ICSLP.

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

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

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

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

Overview of the Third DARPA Speech and Natural Language Workshop

Richard M. Stern, 1990, HLT.

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.

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.

Optimization of the DET curve in speaker verification

Richard M. Stern, Bhiksha Raj, L. Paola García-Perera, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

Single-channel speech separation based on instantaneous frequency

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

Single-channel speech separation based on modulation frequency

Richard M. Stern, Lingyun Gu, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

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.

Dynamic speaker adaptation for feature-based isolated word recognition

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

Subband parameter optimization of microphone arrays for speech recognition in reverberant environments

Richard M. Stern, Michael L. Seltzer, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Biologically inspired methods for robust automatic speech recognition )

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

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

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

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).

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.

Highly-Reverberant Real Environment database: HRRE pdf

Richard M. Stern, Néstor Becerra Yoma, Jorge Wuth, 2018, ArXiv.

Using class weighting in inter-class MLLR

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

Robust speech recognition in the automobile

Richard M. Stern, Nobutoshi Hanai, 1994, ICSLP.

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

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

Robust parameter estimation for audio declipping in noise

Richard M. Stern, Mark Harvilla, 2015, INTERSPEECH.

Parameter sharing in subband likelihood-maximizing beamforming for speech recognition using microphone arrays

Richard M. Stern, Michael L. Seltzer, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Binaural Technology for Machine Speech Recognition and Understanding

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

Speech recognition in mobile environments

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

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.

Analysis of physiologically-motivated signal processing for robust speech recognition

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

Weighted delay-and-sum beamforming guided by visual tracking for human-robot interaction pdf

Richard M. Stern, Néstor Becerra Yoma, Jorge Wuth, 2019, ArXiv.

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

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

THE 1999 CMU 10X REAL TIME BROADCAST NEWS TRANSCRIPTION SYSTEM

Richard M. Stern, Bhiksha Raj, Rita Singh, 1999 .

Environment-invariant compensation for reverberation using linear post-filtering for minimum distortion

Richard M. Stern, Kshitiz Kumar, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

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.

An analysis of binaural spectro-temporal masking as nonlinear beamforming

Richard M. Stern, Amir R. Moghimi, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Duration normalization and hypothesis combination for improved spontaneous speech recognition

Richard M. Stern, Jon P. Nedel, 2003, INTERSPEECH.

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.

Continuous Recognition of Large Vocabulary Tele-phone Quality Speech

Richard M. Stern, Pedro J. Moreno, Uday K. Jain, 1994 .

The 1997 CMU Sphinx-3 English Broadcast News Transcription System

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

Binaural processing for robust speech recognition of degraded speech

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

Voice driven applications in non-stationary and chaotic environment

Richard M. Stern, Bhiksha Raj, Rita Singh, 2005, 2005 IEEE International Conference on Robotics and Biomimetics - ROBIO.

Feature extraction for robust speech recognition using a power-law nonlinearity and power-bias subtraction

Richard M. Stern, Chanwoo Kim, R. Stern, 2009, INTERSPEECH.

Feature generation based on maximum classification probability for improved speech recognition

Xiang Li, Richard M. Stern, 2003, 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.

COMPENSATION FOR ENVIRONMENTAL DEGRADATION IN AUTOMATIC SPEECH RECOGNITION

Richard M. Stern, Bhiksha Raj, Pedro J. Moreno, 1999 .

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.

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

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

Voting for two speaker segmentation

Richard M. Stern, Narayanaswamy Balakrishnan, Rashmi Gangadharaiah, 2006, INTERSPEECH.

Domain adduced state tying for cross-domain acoustic modelling

Richard M. Stern, Bhiksha Raj, Rita Singh, 1999, EUROSPEECH.

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

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

Robust speech recognition

Richard M. Stern, R. Stern, 1997 .

CMU-Informedia @ TRECVID 2013 Multimedia Event Detection

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

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

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

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.

Cepstral compensation by polynomial approximation for environment-independent speech recognition

Evandro B. Gouvêa, Richard M. Stern, Bhiksha Raj, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Structured redefinition of sound units by merging and splitting for improved speech recognition

Richard M. Stern, Bhiksha Raj, Rita Singh, 2000, INTERSPEECH.

N-Best List Rescoring Using Syntactic Trigrams

Richard M. Stern, Juan Arturo Nolazco-Flores, Luis R. Salgado-Garza, 2004, MICAI.

Unsupervised adaptation to new speakers in feature-based letter recognition

Richard M. Stern, Moshé J. Lasry, 1984, ICASSP.

Automatic generation of phone sets and lexical transcriptions

Richard M. Stern, Bhiksha Raj, Rita Singh, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Nonlinear enhancement of onset for robust speech recognition

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

Parsing spoken phrases despite missing words

Richard M. Stern, Wayne H. Ward, Alexander G. Hauptmann, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Multi‐microphone cross‐correlation based processing for robust speech recognition

Richard M. Stern, Thomas M. Sullivan, 1993 .

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.

Duration normalization for improved recognition of spontaneous and read speech via missing feature methods

Richard M. Stern, Jon P. Nedel, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

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.

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

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

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.

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

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

Binaural sound source separation motivated by auditory processing

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

Robust Speech Recognition Based on Binaural Auditory Processing

Richard M. Stern, Chanwoo Kim, Anjali Menon, 2017, INTERSPEECH.

Robust Speech Recognition: The case for restoring missing features

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2001 .

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).

Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power flooring

Richard M. Stern, Chanwoo Kim, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Profile View Lip Reading

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

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.

Microphone array processing for robust speech recognition

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

INVITED PAPERS / MULTIPLE APPROACHES TO ROBUST SPEECH RECOGNITION

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

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.

Feature generation based on maximum normalized acoustic likelihood for improved speech recognition

Xiang Li, Richard M. Stern, 2004, 2004 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.

Non causal deep learning based dereverberation pdf

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

Reconstruction of missing features for robust speech recognition

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

Enhanced by Blind Compensation for Artifacts of Single-sideband Demodulation

Richard M. Stern, Mark J. Harvilla, 2012 .

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

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

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).

Maximum-likelihood-based cepstral inverse filtering for blind speech dereverberation

Richard M. Stern, Kshitiz Kumar, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Sentence parsing with weak grammatical constraints

Richard M. Stern, Wayne H. Ward, Alexander G. Hauptmann, 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Environment-independent mask estimation for missing-feature reconstruction

Richard M. Stern, Hanseok Ko, Wooil Kim, 2005, INTERSPEECH.

Model Compensation and Matched Condition Methods for Robust Speech Recognition

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

Deriving vocal tract shapes from electromagnetic articulograph data via geometric adaptation and matching

Richard M. Stern, Bhiksha Raj, Ziad Al Bawab, 2009, INTERSPEECH.

Classifier-based mask estimation for missing feature methods of robust speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2000, INTERSPEECH.

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

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

Automatic subword unit refinement for spontaneous speech recognition via phone splitting

Richard M. Stern, Rita Singh, Jon P. Nedel, 2000, INTERSPEECH.

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

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

Reconstruction of damaged spectrographic features for robust speech recognition

Richard M. Stern, Bhiksha Raj, Michael L. Seltzer, 2000, INTERSPEECH.

Selected aspects of across‐frequency processing in binaural hearing

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

Phone transition acoustic modeling: application to speaker independent and spontaneous speech systems

Richard M. Stern, Rita Singh, Jon P. Nedel, 2000, INTERSPEECH.

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

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

Analysis-by-synthesis features for speech recognition

Richard M. Stern, Bhiksha Raj, Ziad Al Bawab, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

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).

Acoustical pre-processing for robust spoken language systems

Richard M. Stern, Alex Acero, 1990, ICSLP.

Parallel feature generation based on maximizing normalized acoustic likelihood

Xiang Li, Richard M. Stern, 2004, INTERSPEECH.

Robust speech recognition in reverberant environments using subband-based steady-state monaural and binaural suppression

Richard M. Stern, Hyung-Min Park, Matthew Maciejewski, 2014, INTERSPEECH.

The Use of Locally Normalized Cepstral Coefficients (LNCC) to Improve Speaker Recognition Accuracy in Highly Reverberant Rooms

Richard M. Stern, Simon King, Néstor Becerra Yoma, 2016, INTERSPEECH.

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

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

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).

Unsupervised training scheme with non-stereo data for empirical feature vector compensation

Richard M. Stern, Eduardo Lleida, Antonio Miguel, 2009, INTERSPEECH.

Signal and Feature Compensa-tion Methods for Robust Speech Recognition

Richard M. Stern, Bhiksha Raj, Rita Singh, 2002 .

A unified approach for robust speech recognition

Richard M. Stern, Bhiksha Raj, Pedro J. Moreno, 1995, EUROSPEECH.

A Spectro-Temporal Framework for Compensation of Reverberation for Speech Recognition

Richard M. Stern, Kshitiz Kumar, Kshitiz Kumar, 2011 .

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

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

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.

Signal Processing for Robust Speech Recognition

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

The effects of background music on speech recognition accuracy

Richard M. Stern, Bhiksha Raj, Vipul N. Parikh, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

The 1996 Hub-4 Sphinx-3 System

Richard M. Stern, Bhiksha Raj, Mosur Ravishankar, 1997 .

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.

Dynamic Cues in Binaural Perception

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

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.

Combining search spaces of heterogeneous recognizers for improved speech recogniton

Xiang Li, Richard M. Stern, Rita Singh, 2002, INTERSPEECH.

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

Richard M. Stern, R. Stern, 2011 .

Feature compensation based on switching linear dynamic model

Richard M. Stern, Nam Soo Kim, Woohyung Lim, 2005, IEEE Signal Processing Letters.

Binaural processing for robust recognition of degraded speech

Richard M. Stern, Chanwoo Kim, Umpei Kurokawa, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

DISTORTION-CLASS WEIGHTED ACOUSTIC MODELING FOR ROBUST SPEECH RECOGNITION UNDER GSM RPE-LTP CODING

Richard M. Stern, Juan M. Huerta, 1999 .

Compensation for environmental and speaker variability by normalization of pole locations

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

Robust speech recognition using missing features

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

On tracking noise with linear dynamical system models

Richard M. Stern, Bhiksha Raj, Rita Singh, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Fusion Strategies for Robust Speech Recognition and Keyword Spotting for Channel- and Noise-Degraded Speech

John H. L. Hansen, Abeer Alwan, Wen Wang, 2016, INTERSPEECH.

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

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

Sound Source Separation Using Phase Difference and Reliable Mask Selection Selection

Richard M. Stern, Michiel Bacchiani, Chanwoo Kim, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

Band-Independent Mask Estimation for Missing-Feature Reconstruction in the Presence of Unknown Background Noise

Richard M. Stern, Wooil Kim, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Training of stream weights for the decoding of speech using parallel feature streams

Xiang Li, Richard M. Stern, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Dynamic speaker adaptation for isolated letter recognition using MAP estimation

Richard M. Stern, Moshé J. Lasry, 1983, 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.

WEIGHTED PRINCIPAL COMPONENT MLLR FOR SPEAKER ADAPTATION

Richard M. Stern, Sam-Joo Doh, 1999 .

Efficient Cepstral Normalization for Robust Speech Recognition

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

Combination and generation of parallel feature streams for improved speech recognition

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

Multiple Approaches to Robust Speech Recognition

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

Robust speech recognition using temporal masking and thresholding algorithm

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

A Comparative Study of Spatial Speech Separation Techniques to Improve Speech Recognition

Richard M. Stern, Chiman Kwan, Bulent Ayhan, 2018, ISNN.

A hybrid physical and statistical dynamic articulatory framework incorporating analysis-by-synthesis for improved phone classification

Richard M. Stern, Bhiksha Raj, Ziad Al Bawab, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

SENTENCE PA SING WITH WEAK GRAMMATICAL CQNSTRABNTS

Richard M. Stern, Wayne H. Ward, Juan Leon, 1987 .

Signal separation for robust speech recognition based on phase difference information obtained in the frequency domain

Richard M. Stern, Bhiksha Raj, Chanwoo Kim, 2009, INTERSPEECH.

An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition pdf

Richard M. Stern, Néstor Becerra Yoma, Fernando Huenupán, 2018, ArXiv.

Two-microphone source separation algorithm based on statistical modeling of angle distributions

Richard M. Stern, Chanwoo Kim, Charbel El Khawand, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

Temporal Context in Speech Emotion Recognition

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

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).

MODELS OF BINAURAL PERCEPTION

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

Binaural Mechanisms that Emphasize Consistent Interaural Timing Information over Frequency

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

The role of spatial detail in sound-source localization: Impact on HRTF modeling and personalization.

Douglas S. Brungart, Richard M. Stern, Brian D. Simpson, 2013 .

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 .

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

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

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

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