Air-Borne and Tissue-Borne Sensitivities of Bioacoustic Sensors Used on the Skin Surface. - Matías Zanartu; Julio C. Ho; Steve S. Kraman; Hans Pasterkamp; Jessica E. Huber; George R. Wodicka (IEEE Trans. Biomed. Eng., 2009)

Duration of ambulatory monitoring needed to accurately estimate voice use. - Daryush D. Mehta; Rebecca Woodbury Listfield; Harold A. Cheyne II; James T. Heaton; Shengran W. Feng; Matías Zanartu; Robert E. Hillman (INTERSPEECH, 2012)

Mobile Voice Health Monitoring Using a Wearable Accelerometer Sensor and a Smartphone Platform. - Daryush D. Mehta; Matías Zanartu; Shengran W. Feng; Harold A. Cheyne II; Robert E. Hillman (IEEE Trans. Biomed. Eng., 2012)

Smartphone-based detection of voice disorders by long-term monitoring of neck acceleration features. - Daryush D. Mehta; Matías Zanartu; Jarrad H. Van Stan; Shengran W. Feng; Harold A. Cheyne II; Robert E. Hillman (BSN, 2013)

A review of lumped-element models of voiced speech. - Byron D. Erath; Matías Zanartu; Kelley C. Stewart; Michael W. Plesniak; David E. Sommer; Sean D. Peterson (Speech Commun., 2013)

Subglottal Impedance-Based Inverse Filtering of Voiced Sounds Using Neck Surface Acceleration. - Matías Zanartu; Julio C. Ho; Daryush D. Mehta; Robert E. Hillman; George R. Wodicka (IEEE Trans. Speech Audio Process., 2013)

Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results for Vocal Fold Nodules. - Marzyeh Ghassemi; Jarrad H. Van Stan; Daryush D. Mehta; Matías Zanartu; Harold A. Cheyne II; Robert E. Hillman; John V. Guttag (IEEE Trans. Biomed. Eng., 2014)

Vocal fold modeling through the port-Hamiltonian systems approach. - Marco Encina; Juan I. Yuz; Matías Zanartu; Gabriel E. Galindo (CCA, 2015)

Corrections to "Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results For Vocal Fold Nodules". - Marzyeh Ghassemi; Jarrad H. Van Stan; Daryush D. Mehta; Matías Zanartu; Harold A. Cheyne II; Robert E. Hillman; John V. Guttag (IEEE Trans. Biomed. Eng., 2015)

Classification of voice modes using neck-surface accelerometer data. - Michal Borsky; Marion Cocude; Daryush D. Mehta; Matías Zanartu; Jón Guðnason (ICASSP, 2017)

Modeling Laryngeal Muscle Activation Noise for Low-Order Physiological Based Speech Synthesis. - Rodrigo Manríquez; Sean D. Peterson; Pavel Prado; Patricio Orio; Matías Zañartu (INTERSPEECH, 2017)

Evaluation of Glottal Inverse Filtering Algorithms Using a Physiologically Based Articulatory Speech Synthesizer. - Yu-Ren Chien; Daryush D. Mehta; Jón Guðnason; Matías Zanartu; Thomas F. Quatieri (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Improved Subglottal Pressure Estimation From Neck-Surface Vibration in Healthy Speakers Producing Non-Modal Phonation. - Jon Z. Lin; Víctor M. Espinoza; Katherine L. Marks; Matías Zañartu; Daryush D. Mehta (IEEE J. Sel. Top. Signal Process., 2020)

Improving EEG Muscle Artifact Removal With an EMG Array. - Juan Andrés Mucarquer; Pavel Prado; María-José Escobar; Wael El-Deredy; Matías Zañartu (IEEE Trans. Instrum. Meas., 2020)

Triangular body-cover model of the vocal folds with coordinated activation of five intrinsic laryngeal muscles with applications to vocal hyperfunction. - Gabriel A. Alzamendi; Sean D. Peterson; Byron D. Erath; Robert E. Hillman; Matías Zañartu (CoRR, 2021)

Energy-based fluid-structure model of the vocal folds. - Luis A. Mora; Hector Ramirez; Juan I. Yuz; Yann Le Gorec; Matías Zañartu (IMA J. Math. Control. Inf., 2021)

LaDIVA: A neurocomputational model providing laryngeal motor control for speech acquisition and production. - Hasini R. Weerathunge; Gabriel A. Alzamendi; Gabriel J. Cler; Frank H. Guenther; Cara E. Stepp; Matías Zañartu (PLoS Comput. Biol., 2022)

Glottal Airflow Estimation Using Neck Surface Acceleration and Low-Order Kalman Smoothing. - Arturo Morales 002; Juan I. Yuz; Juan P. Cortés; Javier G. Fontanet; Matías Zañartu (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Water Content Classification on Leaves Based on Multi-Spectral Imagery and Machine Learning Techniques for Wildfire Prevention. - Juan Estrada; Matías Zanartu; Rodrigo Demarco; Andrés Fuentes; Fernando Alfredo Auat Cheeín (ICIT, 2024)

Continuous-time model identification of the subglottal system. - Javier G. Fontanet; Juan I. Yuz; Hugues Garnier; Arturo Morales 002; Juan P. Cortés; Matías Zañartu (Biomed. Signal Process. Control., 2024)

Subject-specific modeling by domain adaptation for the estimation of subglottal pressure from neck-surface acceleration signals. - Emiro J. Ibarra; Julián D. Arias-Londoño; Juan Ignacio Godino-Llorente; Daryush D. Mehta; Matías Zañartu (Biomed. Signal Process. Control., 2025)

Empirical Distribution of Glottal Edges (EDGE): A Statistical Assessment of Vocal Fold Kinematics Using High-Speed Videoendoscopy. - Emiro J. Ibarra; Gabriel E. Galindo; Gabriel A. Alzamendi; Juan P. Cortés; Christian Castro; Rodrigo Manríquez; Alba Testart; Matías Zañartu (IEEE J. Biomed. Health Informatics, 2025)