C. Espy-Wilson

Caroline B. Huang, Carol Y. Espy-Wilson, Venkatesh R. Chari, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Dialect distribution of North American English /r/.

Carol Y. Espy-Wilson, Suzanne Boyce, Mark Tiede, 2009 .

New features in VTAR: A Matlab‐based computer program for vocal tract acoustic modeling

Carol Y. Espy-Wilson, Suzanne Boyce, Mark Tiede, 2007 .

A feature‐based semivowel recognition system

Carol Y. Espy-Wilson, C. Espy-Wilson, 1994 .

Intraspeaker Comparisons of Acoustic and Articulatory Variability in American English /r/ Productions

J. Perkell, M. Matthies, F. Guenther, 1997 .

Automatic speech recognition

C. Espy-Wilson, 2005 .

Acoustic-to-articulatory Speech Inversion with Multi-task Learning

Yashish M. Siriwardena, C. Espy-Wilson, G. Sivaraman, 2022, 2205.13755.

Maximum likelihood pitch estimation using sinusoidal modeling

C. Espy-Wilson, V. Mahadevan, 2011, 2011 International Conference on Communications and Signal Processing.

Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals

Rahil S. Parikh, S. Shamma, C. Espy-Wilson, 2022, INTERSPEECH.

Assessing Neuromotor Coordination in Depression Using Inverted Vocal Tract Variables

Thomas F. Quatieri, Adam C. Lammert, Carol Y. Espy-Wilson, 2019, INTERSPEECH.

Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion using Bidirectional Gated RNNs

Yashish M. Siriwardena, C. Espy-Wilson, G. Sivaraman, 2022, 2205.13086.

Knowledge-based analysis of speech mixed with sporadic environmental sounds

Carol Y. Espy-Wilson, S. Hamid Nawab, Ramamurthy Mani, 1998 .

Masked Autoencoders Are Articulatory Learners

C. Espy-Wilson, Ahmed Adel Attia, 2022, ArXiv.

Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model pdf

Carol Espy-Wilson, Nadee Seneviratne, C. Espy-Wilson, 2021, Interspeech.

Hybrid convolutional neural networks for articulatory and acoustic information based speech recognition

Elliot Saltzman, Mark K. Tiede, Carol Y. Espy-Wilson, 2017, Speech Commun..

Use of temporal information: detection of periodicity, aperiodicity, and pitch in speech

Ariel Salomon, Carol Y. Espy-Wilson, Om Deshmukh, 2005, IEEE Transactions on Speech and Audio Processing.

Semi-Supervised and Transfer Learning Approaches for Low Resource Sentiment Classification

Shrikanth S. Narayanan, Saurabh Sahu, Rahul Gupta, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Diversity of tongue shapes for the American English rhotic liquid

Mark K. Tiede, Carol Y. Espy-Wilson, Suzanne Boyce, 2015, ICPhS.

A magnetic resonance imaging-based articulatory and acoustic study of "retroflex" and "bunched" American English /r/.

Suzanne Boyce, Mark Tiede, Xinhui Zhou, 2008, The Journal of the Acoustical Society of America.

Acoustic Strategies for Production of American English " retroflex " / r /

Carol Espy-Wilson, Zhaoyan Zhang, Suzanne Boyce, 2003 .

Articulatory tradeoffs reduce acoustic variability during American English /r/ production.

C Y Espy-Wilson, F H Guenther, J S Perkell, 1999, The Journal of the Acoustical Society of America.

Acoustic modelling of American English /r/

Abeer Alwan, Shrikanth S. Narayanan, Carol Y. Espy-Wilson, 1997, EUROSPEECH.

Coarticulatory stability in American English /r/

Carol Y. Espy-Wilson, Suzanne Boyce, C. Espy-Wilson, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Synergy of acoustic-phonetics and auditory modeling towards robust speech recognition

Carol Y. Espy-Wilson, Om D. Deshmukh, C. Espy-Wilson, 2006 .

Speech recognition based on phonetic features and acoustic landmarks

Carol Y. Espy-Wilson, Amit Juneja, C. Espy-Wilson, 2004 .

An acoustic-phonetic approach to speech recognition : application to the semivowels

Carol Y. Espy-Wilson, C. Espy-Wilson, 1987 .

Articulatory Information for Noise Robust Speech Recognition

Elliot Saltzman, Louis Goldstein, Carol Y. Espy-Wilson, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

A procedure for estimating gestural scores from speech acoustics.

Mark Hasegawa-Johnson, Louis Goldstein, Elliot Saltzman, 2012, The Journal of the Acoustical Society of America.

Enhancement of electrolaryngeal speech by adaptive filtering.

C Y Espy-Wilson, V R Chari, J M MacAuslan, 1998, Journal of speech, language, and hearing research : JSLHR.

Coarticulatory stability in American English / . /

Carol Y. Espy-Wilson, Suzanne Boyce, C. Espy-Wilson, 1997 .

Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop

Abeer Alwan, Dinesh Manocha, Stefanie Tellex, 2020, Comput. Speech Lang..

On Enhancing Speech Emotion Recognition using Generative Adversarial Networks

Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson, 2018, INTERSPEECH.

Quantifying kinematic aspects of reduction in a contrasting rate production task

Hosung Nam, Carol Y. Espy-Wilson, Vikramjit Mitra, 2017 .

Vocal Tract Length Normalization for Speaker Independent Acoustic-to-Articulatory Speech Inversion

Mark K. Tiede, Carol Y. Espy-Wilson, Vikramjit Mitra, 2016, INTERSPEECH.

Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition

Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images

Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson, 2017, MediaEval.

Multi-Modal Learning for Speech Emotion Recognition: An Analysis and Comparison of ASR Outputs with Ground Truth Transcription

Saurabh Sahu, Carol Y. Espy-Wilson, Vikramjit Mitra, 2019, INTERSPEECH.

ROBUST FEATURES AND SYSTEM FUSION FOR REVERBERATION-ROBUST SPEECH RECOGNITION

Andreas Kathol, Carol Y. Espy-Wilson, Vikramjit Mitra, 2014 .

Adversarial Auto-Encoders for Speech Based Emotion Recognition

Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson, 2017, INTERSPEECH.

Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems

C. Espy-Wilson, U. Maryland, Google Inc., 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop pdf

Nigel Ward, Matthew Marge, Carol Espy-Wilson, 2020, ArXiv.

Automatic acquisition device identification from speech recordings

Daniel Garcia-Romero, Carol Y. Espy-Wilson, C. Espy-Wilson, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Acoustic parameters for the automatic detection of vowel nasalization

Carol Y. Espy-Wilson, Tarun Pruthi, C. Espy-Wilson, 2007, INTERSPEECH.

Acoustic-to-Articulatory Speech Inversion Features for Mispronunciation Detection of /ɹ/ in Child Speech Sound Disorders

Elaine R. Hitchcock, Yashish M. Siriwardena, C. Espy-Wilson, 2023, INTERSPEECH.

The Secret Source : Incorporating Source Features to Improve Acoustic-to-Articulatory Speech Inversion

Yashish M. Siriwardena, C. Espy-Wilson, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Extended Study on the Use of Vocal Tract Variables to Quantify Neuromotor Coordination in Depression

Thomas F. Quatieri, James R. Williamson, Adam C. Lammert, 2020, INTERSPEECH.

Unsupervised speaker adaptation for speaker independent acoustic to articulatory speech inversion.

Carol Espy-Wilson, Vikramjit Mitra, Ganesh Sivaraman, 2019, The Journal of the Acoustical Society of America.

Speaker-independent Speech Inversion for Estimation of Nasalance

Yashish M. Siriwardena, C. Espy-Wilson, S. Boyce, 2023, 2306.00203.

Acoustic-to-articulatory Speech Inversion with Multi-task Learning

Yashish M. Siriwardena, C. Espy-Wilson, G. Sivaraman, 2022, INTERSPEECH.

Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion using Bidirectional Gated RNNs

Yashish M. Siriwardena, C. Espy-Wilson, G. Sivaraman, 2022, 2205.13086.

Multimodal Approach for Assessing Neuromotor Coordination in Schizophrenia Using Convolutional Neural Networks

Yashish M. Siriwardena, C. Espy-Wilson, D. Kelly, 2021, ICMI.

Recognizing articulatory gestures from speech for robust speech recognition.

Louis Goldstein, Elliot Saltzman, Hosung Nam, 2012, The Journal of the Acoustical Society of America.

Multi-Corpus Acoustic-to-Articulatory Speech Inversion

Carol Y. Espy-Wilson, Nadee Seneviratne, Ganesh Sivaraman, 2019, INTERSPEECH.

Analysis of Acoustic-to-Articulatory Speech Inversion Across Different Accents and Languages

Carol Y. Espy-Wilson, Ganesh Sivaraman, Martijn Wieling, 2017, INTERSPEECH.

Joint modeling of articulatory and acoustic spaces for continuous speech recognition tasks

Dimitra Vergyri, Wen Wang, Horacio Franco, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speech enhancement using modified phase opponency model

Carol Y. Espy-Wilson, Om Deshmukh, C. Espy-Wilson, 2007, INTERSPEECH.

Linear versus mel frequency cepstral coefficients for speaker recognition

Daniel Garcia-Romero, Ramani Duraiswami, Shihab A. Shamma, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Multicondition training of Gaussian PLDA models in i-vector space for noise and reverberation robust speaker recognition

Daniel Garcia-Romero, Carol Y. Espy-Wilson, Xinhui Zhou, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Estimating Tract Variables from Acoustics via Neural Networks Project Proposal

C. Espy-Wilson, Christiana Sabett, 2014 .

Improving robustness of speech recognition systems

Carol Y. Espy-Wilson, Vikramjit Mitra, C. Espy-Wilson, 2010 .

Noise Robust Acoustic to Articulatory Speech Inversion

Carol Y. Espy-Wilson, Vikramjit Mitra, Nadee Seneviratne, 2018, INTERSPEECH.

A S ] 3 1 M ay 2 02 3 Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion 1

Yashish M. Siriwardena, C. Espy-Wilson, G. Sivaraman, 2023 .

A Comparative Acoustic Study on Speech of Glossectomy Patients and Normal Subjects

Carol Y. Espy-Wilson, Xinhui Zhou, Maureen L. Stone, 2011, INTERSPEECH.

Inverted Vocal Tract Variables and Facial Action Units to Quantify Neuromotor Coordination in Schizophrenia

Carol Espy-Wilson, Deanna L. Kelly, Yashish Maduwantha H.P.E.R.S, 2021, 2102.07054.

A magnetic resonance imaging-based articulatory and acoustic study of "retroflex" and "bunched" American English /r/.

C. Espy-Wilson, S. Boyce, C. Holland, 2008, The Journal of the Acoustical Society of America.

A vocal-tract model of American English /l/.

Zhaoyan Zhang, Carol Y Espy-Wilson, C. Espy-Wilson, 2004, The Journal of the Acoustical Society of America.

Speech segmentation using probabilistic phonetic feature hierarchy and support vector machines

A. Juneja, C. Espy-Wilson, C. Espy-Wilson, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Landmark-based approach to speech recognition: an alternative to HMMs

Carol Y. Espy-Wilson, Om Deshmukh, Amit Juneja, 2007, INTERSPEECH.

Detection of speech landmarks: use of temporal information.

Ariel Salomon, Carol Y Espy-Wilson, Om Deshmukh, 2004, The Journal of the Acoustical Society of America.

A probabilistic framework for landmark detection based on phonetic features for automatic speech recognition.

Carol Espy-Wilson, Amit Juneja, C. Espy-Wilson, 2008, The Journal of the Acoustical Society of America.

Verifying a vocal tract model with a closed side-branch.

M T Jackson, S E Boyce, C. Espy-Wilson, 2001, The Journal of the Acoustical Society of America.

Three-dimensional vocal tract modeling of fricatives /s/ and /sh/ for post-glossectomy speakers

Jonghye Woo, Carol Y. Espy-Wilson, Maureen Stone, 2013 .

Variability of North American English /r/ production in response to palatal perturbation

Vincent L. Gracco, Carol Y. Espy-Wilson, Suzanne Boyce, 2010 .

Knowledge-based parameters for HMM speech recognition

Carol Y. Espy-Wilson, Nabil N. Bitar, C. Espy-Wilson, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.