M. Zañartu

发表

Estimation of auditory steady-state responses based on the averaging of independent EEG epochs

E. Martínez-Montes, Pavel Prado-Gutierrez, A. Weinstein, 2018, bioRxiv.

Estimation of auditory steady-state responses based on the averaging of independent EEG epochs

E. Martínez-Montes, Pavel Prado-Gutierrez, A. Weinstein, 2018, bioRxiv.

Observation and analysis of in vivo vocal fold tissue instabilities produced by nonlinear source-filter coupling: a case study.

Julio C. Ho, D. Mehta, R. Hillman, 2011, The Journal of the Acoustical Society of America.

An anatomically based, time-domain acoustic model of the subglottal system for speech production.

Julio C. Ho, G. R. Wodicka, M. Zañartu, 2011, The Journal of the Acoustical Society of America.

Toward Development of a Vocal Fold Contact Pressure Probe: Sensor Characterization and Validation Using Synthetic Vocal Fold Models

J. Kobler, D. Mehta, R. Hillman, 2019, Applied sciences.

Modeling viscous dissipation during vocal fold contact: the influence of tissue viscosity and thickness with implications for hydration

S. Peterson, M. Zañartu, B. Erath, 2017, Biomechanics and modeling in mechanobiology.

Corrected contact dynamics for the Steinecke and Herzel asymmetric two-mass model of the vocal folds.

David E. Sommer, S. Peterson, M. Zañartu, 2012, The Journal of the Acoustical Society of America.

A theoretical model of the pressure field arising from asymmetric intraglottal flows applied to a two-mass model of the vocal folds.

G. R. Wodicka, M. Plesniak, S. Peterson, 2011, The Journal of the Acoustical Society of America.

Intraglottal aerodynamic pressure and energy transfer in a self-oscillating synthetic model of the vocal folds

S. Peterson, M. Zañartu, B. Erath, 2020, medRxiv.

Source‐filter interaction in the opposite direction: Subglottal coupling and the influence of vocal fold mechanics on vowel spectra during the closed phase.

Steven M. Lulich, D. Mehta, R. Hillman, 2009 .

Source-filter interaction in the opposite direction : subglottal coupling and the influence of vocal fold mechanics on vowel spectra during the closed phase

Steven M. Lulich, Robert E. Hillman, Matías Zañartu, 2009 .

Acoustic coupling during incomplete glottal closure and its effect on the inverse filtering of oral airflow

Julio C. Ho, D. Mehta, R. Hillman, 2013 .

Modeling the effects of a posterior glottal opening on vocal fold dynamics with implications for vocal hyperfunction.

Matías Zañartu, George R Wodicka, Sean D Peterson, 2014, The Journal of the Acoustical Society of America.

Ambulatory assessment of phonotraumatic vocal hyperfunction using glottal airflow measures estimated from neck-surface acceleration

Víctor M. Espinoza, M. Ghassemi, J. Guttag, 2018, PloS one.

Glottal Aerodynamic Measures in Women With Phonotraumatic and Nonphonotraumatic Vocal Hyperfunction.

Víctor M. Espinoza, Matías Zañartu, Daryush D. Mehta, 2017, Journal of speech, language, and hearing research : JSLHR.

Using Ambulatory Voice Monitoring to Investigate Common Voice Disorders: Research Update

Marzyeh Ghassemi, Robert E. Hillman, John V. Guttag, 2015, Front. Bioeng. Biotechnol..

A discrete-time model for the vocal folds

Juan I. Yuz, Gabriel E. Galindo, J. Yuz, 2014 .

Bayesian estimation of vocal function measures using laryngeal high-speed videoendoscopy and glottal airflow estimates: An in vivo case study.

Jonathan J Deng, Paul J Hadwin, Paul J. Hadwin, 2020, The Journal of the Acoustical Society of America.

Modeling incomplete glottal closure due to a posterior glottal opening and its effects on the dynamics of the vocal folds

R. Hillman, G. R. Wodicka, S. Peterson, 2013 .

Robust fundamental frequency estimation in sustained vowels using ensembles

Max A. Little, Patrick E. McSharry, Athanasios Tsanas, 2022 .

An Updated Theoretical Framework for Vocal Hyperfunction

Daryush D. Mehta, C. Stepp, D. Mehta, 2020, American journal of speech-language pathology.

Response to "Comments on 'A theoretical model of the pressure distributions arising from asymmetric intraglottal flows applied to a two-mass model of the vocal folds'" [J. Acoust. Soc. Am. 130, 389-403 (2011)].

G. R. Wodicka, M. Plesniak, S. Peterson, 2013, The Journal of the Acoustical Society of America.

Glottal Aerodynamics Estimated From Neck-Surface Vibration in Women With Phonotraumatic and Nonphonotraumatic Vocal Hyperfunction.

Víctor M. Espinoza, D. Mehta, R. Hillman, 2020, Journal of speech, language, and hearing research : JSLHR.

Chirp analyzer for estimating amplitude and latency of steady-state auditory envelope following responses

E. Martínez-Montes, Pavel Prado-Gutierrez, M. Zañartu, 2019, bioRxiv.

Modeling the influence of COVID-19 protective measures on the mechanics of phonation.

Jonathan J Deng, S. Peterson, M. Zañartu, 2022, The Journal of the Acoustical Society of America.

Integration of transnasal fiberoptic high-speed videoendoscopy with time- synchronized recordings of vocal function

D. Mehta, S. Zeitels, R. Hillman, 2018 .

LaDIVA: A neurocomputational model providing laryngeal motor control for speech acquisition and production

Gabriel J. Cler, Hasini R. Weerathunge, F. Guenther, 2022, PLoS Comput. Biol..

Lombard Effect in Individuals With Nonphonotraumatic Vocal Hyperfunction: Impact on Acoustic, Aerodynamic, and Vocal Fold Vibratory Parameters.

Víctor M. Espinoza, Daryush D. Mehta, C. Stepp, 2022, Journal of speech, language, and hearing research : JSLHR.

Collision Pressure and Dissipated Power Dose in a Self-Oscillating Silicone Vocal Fold Model With a Posterior Glottal Opening.

D. Mehta, R. Hillman, S. Peterson, 2022, Journal of speech, language, and hearing research : JSLHR.

Kalman Filter Implementation of Subglottal Impedance-Based Inverse Filtering to Estimate Glottal Airflow during Phonation

Víctor M. Espinoza, D. Mehta, R. Hillman, 2021, Applied sciences.

Mobile Voice Health Monitoring Using a Wearable Accelerometer Sensor and a Smartphone Platform

Robert E. Hillman, Daryush D. Mehta, Matías Zanartu, 2012, IEEE Transactions on Biomedical Engineering.

INCORPORATING REAL-TIME BIOFEEDBACK CAPABILITIES INTO A VOICE HEALTH MONITOR

M. Ghassemi, J. Guttag, D. Mehta, 2022 .

Acoustic and Neurophysiological Aspects of Lombard Effect

Víctor M. Espinoza, A. Weinstein, M. Zañartu, 2022, bioRxiv.

Improving EEG Muscle Artifact Removal With an EMG Array

Matías Zañartu, Maria-Jose Escobar, Wael El-Deredy, 2020, IEEE Transactions on Instrumentation and Measurement.

Modeling viscous dissipation during vocal fold contact: the influence of tissue viscosity and thickness with implications for hydration

S. Peterson, M. Zañartu, B. Erath, 2016, Biomechanics and Modeling in Mechanobiology.

Modeling the Pathophysiology of Phonotraumatic Vocal Hyperfunction With a Triangular Glottal Model of the Vocal Folds.

Robert E. Hillman, Sean D. Peterson, Byron D. Erath, 2017, Journal of speech, language, and hearing research : JSLHR.

Nonlinear vocal fold dynamics resulting from asymmetric fluid loading on a two-mass model of speech.

Michael W Plesniak, Matías Zañartu, Sean D Peterson, 2011, Chaos.

Air-Borne and Tissue-Borne Sensitivities of Bioacoustic Sensors Used on the Skin Surface

George R. Wodicka, Hans Pasterkamp, Steve S. Kraman, 2009, IEEE Transactions on Biomedical Engineering.

Ambulatory Monitoring of Subglottal Pressure Estimated from Neck-Surface Vibration in Individuals with and without Voice Disorders

Víctor M. Espinoza, Katherine L. Marks, D. Mehta, 2022, Applied sciences.

Improved Subglottal Pressure Estimation From Neck-Surface Vibration in Healthy Speakers Producing Non-Modal Phonation

Jon Z. Lin, Víctor M. Espinoza, Katherine L. Marks, 2020, IEEE Journal of Selected Topics in Signal Processing.

Estimating Vocal Fold Contact Pressure from Raw Laryngeal High-Speed Videoendoscopy Using a Hertz Contact Model

Byron D. Erath, Víctor M. Espinoza, Matías Zañartu, 2019, Applied sciences.

Subglottal Impedance-Based Inverse Filtering of Voiced Sounds Using Neck Surface Acceleration

George R. Wodicka, Robert E. Hillman, Daryush D. Mehta, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Real-time estimation of aerodynamic features for ambulatory voice biofeedback.

George R Wodicka, Robert E Hillman, Jarrad H Van Stan, 2015, The Journal of the Acoustical Society of America.

Classification of voice modes using neck-surface accelerometer data

Jón Guðnason, Daryush D. Mehta, Michal Borsky, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results for Vocal Fold Nodules

Marzyeh Ghassemi, Robert E. Hillman, John V. Guttag, 2014, IEEE Transactions on Biomedical Engineering.

A review of lumped-element models of voiced speech

Sean D. Peterson, Byron D. Erath, Michael W. Plesniak, 2013, Speech Commun..

PO-0727: Thermophysical fluid modelling for loco-regional hyperthermia treatment of Non-Muscle Invasive Bladder Cancer

E. D. Geijsen, J. Crezee, H. Kok, 2015 .

Modeling the influence of the extrinsic musculature on phonation.

S. Peterson, M. Zañartu, G. A. Alzamendi, 2023, Biomechanics and modeling in mechanobiology.

Influence of acoustic loading on an effective single mass model of the vocal folds.

Luc Mongeau, Matías Zañartu, George R Wodicka, 2007, The Journal of the Acoustical Society of America.

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Alejandro Weinstein, Eduardo Martínez-Montes, María-José Escobar, 2019, Journal of visualized experiments : JoVE.

An acoustic source model for asymmetric intraglottal flow with application to reduced-order models of the vocal folds

M. Plesniak, S. Peterson, M. Zañartu, 2019, PloS one.

Vocal fold dynamics in a synthetic self-oscillating model: Intraglottal aerodynamic pressure and energy.

S. Peterson, M. Zañartu, B. Erath, 2021, The Journal of the Acoustical Society of America.

Laser-Calibrated System for Transnasal Fiberoptic Laryngeal High-Speed Videoendoscopy.

Milen Shishkov, Brett Bouma, Dimitar D Deliyski, 2019, Journal of voice : official journal of the Voice Foundation.

The difference between first and second harmonic amplitudes correlates between glottal airflow and neck-surface accelerometer signals during phonation.

Víctor M. Espinoza, D. Mehta, R. Hillman, 2019, The Journal of the Acoustical Society of America.

Estimation of Subglottal Pressure, Vocal Fold Collision Pressure, and Intrinsic Laryngeal Muscle Activation From Neck-Surface Vibration Using a Neural Network Framework and a Voice Production Model

Víctor M. Espinoza, D. Mehta, R. Hillman, 2021, Frontiers in Physiology.

Direct measurement and modeling of intraglottal, subglottal, and vocal fold collision pressures during phonation in an individual with a hemilaryngectomy

Robert H. Petrillo, J. Kobler, D. Mehta, 2021, Applied sciences.

Evaluation of Glottal Inverse Filtering Algorithms Using a Physiologically Based Articulatory Speech Synthesizer

Thomas F. Quatieri, Jón Guðnason, Daryush D. Mehta, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Uncertainty of glottal airflow estimation during continuous speech using impedance-based inverse filtering of the neck-surface acceleration signal

Víctor M. Espinoza, D. Mehta, R. Hillman, 2017 .

Smartphone-based detection of voice disorders by long-term monitoring of neck acceleration features

Robert E. Hillman, Daryush D. Mehta, Jarrad H. Van Stan, 2013, 2013 IEEE International Conference on Body Sensor Networks.

Glottal Airflow Estimation Using Neck Surface Acceleration and Low-Order Kalman Smoothing

Javier G. Fontanet, J. Yuz, M. Zañartu, 2023, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Parametric Identification of a Linear Time Invariant Model for a Subglottal System

Juan I. Yuz, Matías Zañartu, Javier G. Fontanet, 2021, IFAC-PapersOnLine.

Toward an objective aerodynamic assessment of vocal hyperfunction using a voice health monitor

Marzyeh Ghassemi, Robert E. Hillman, John V. Guttag, 2013 .

FUTURE DIRECTIONS IN THE DEVELOPMENT OF AMBULATORY MONITORING FOR CLINICAL VOICE ASSESSMENT

Marzyeh Ghassemi, Robert E. Hillman, John V. Guttag, 2013 .

An impedance‐based inverse filtering scheme with glottal coupling.

Julio C. Ho, D. Mehta, R. Hillman, 2009 .

Robust fundamental frequency estimation in sustained vowels: detailed algorithmic comparisons and information fusion with adaptive Kalman filtering.

Gari D Clifford, Max A. Little, Athanasios Tsanas, 2014, The Journal of the Acoustical Society of America.

DIVA Meets EEG: Model Validation Using Formant-Shift Reflex

A. Weinstein, M. Zañartu, P. Prado, 2023, Applied Sciences.

Vocal fold modeling through the port-Hamiltonian systems approach

Juan Yuz, Matías Zanartu, Marco Encina, 2015, 2015 IEEE Conference on Control Applications (CCA).

Assessing phoneme distribution for speech modeling

M. Zañartu, J. A. Parra, C. Calvache, 2023, Symposium on Medical Information Processing and Analysis.

Correction: Comprehensive, Population-Based Sensitivity Analysis of a Two-Mass Vocal Fold Model

Daniel Robertson, D. Cook, M. Zañartu, 2016, PloS one.

Comprehensive, Population-Based Sensitivity Analysis of a Two-Mass Vocal Fold Model

Daniel Robertson, Douglas Cook, Matías Zañartu, 2016, PloS one.

Nonlinearities in block-type reduced-order vocal fold models with asymmetric tissue properties

David E. Sommer, S. Peterson, M. Zañartu, 2013 .

Empirical Evaluation of the Role of Vocal Fold Collision on Relative Fundamental Frequency in Voicing Offset.

Jennifer M. Vojtech, C. Stepp, S. Peterson, 2022, Journal of voice : official journal of the Voice Foundation.

Modeling Laryngeal Muscle Activation Noise for Low-Order Physiological Based Speech Synthesis

Sean D. Peterson, Matías Zañartu, Patricio Orio, 2017, INTERSPEECH.

Effect of nodule size and stiffness on phonation threshold and collision pressures in a synthetic hemilaryngeal vocal fold model.

Daryush D. Mehta, R. Hillman, S. Peterson, 2023, The Journal of the Acoustical Society of America.

Continuous-time model identification of the subglottal system

Javier G. Fontanet, J. Yuz, M. Zañartu, 2024, Biomed. Signal Process. Control..