| Mobile voice health monitoring using a wearable accelerometer sensor and a smartphone platform DD Mehta, M Zanartu, SW Feng, HA Cheyne II, RE Hillman IEEE Transactions on Biomedical Engineering 59 (11), 3090-3096, 2012 | 260 | 2012 |
| Using ambulatory voice monitoring to investigate common voice disorders: Research update DD Mehta, JH Van Stan, M Zañartu, M Ghassemi, JV Guttag, ... Frontiers in bioengineering and biotechnology 3, 155, 2015 | 161 | 2015 |
| An updated theoretical framework for vocal hyperfunction RE Hillman, CE Stepp, JH Van Stan, M Zañartu, DD Mehta American Journal of Speech-Language Pathology 29 (4), 2254-2260, 2020 | 121 | 2020 |
| Influence of acoustic loading on an effective single mass model of the vocal folds M Zanartu, L Mongeau, GR Wodicka The Journal of the Acoustical Society of America 121 (2), 1119-1129, 2007 | 113 | 2007 |
| Glottal aerodynamic measures in women with phonotraumatic and nonphonotraumatic vocal hyperfunction VM Espinoza, M Zañartu, JH Van Stan, DD Mehta, RE Hillman Journal of Speech, Language, and Hearing Research 60 (8), 2159-2169, 2017 | 93 | 2017 |
| Observation and analysis of in vivo vocal fold tissue instabilities produced by nonlinear source-filter coupling: a case study M Zañartu, DD Mehta, JC Ho, GR Wodicka, RE Hillman The Journal of the Acoustical Society of America 129 (1), 326-339, 2011 | 89 | 2011 |
| A review of lumped-element models of voiced speech BD Erath, M Zanartu, KC Stewart, MW Plesniak, DE Sommer, ... Speech Communication 55 (5), 667-690, 2013 | 87 | 2013 |
| Modeling the effects of a posterior glottal opening on vocal fold dynamics with implications for vocal hyperfunction M Zañartu, GE Galindo, BD Erath, SD Peterson, GR Wodicka, RE Hillman The Journal of the Acoustical Society of America 136 (6), 3262-3271, 2014 | 86 | 2014 |
| Robust fundamental frequency estimation in sustained vowels: detailed algorithmic comparisons and information fusion with adaptive Kalman filtering A Tsanas, M Zañartu, MA Little, C Fox, LO Ramig, GD Clifford The Journal of the Acoustical Society of America 135 (5), 2885-2901, 2014 | 84 | 2014 |
| Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: Initial results for vocal fold nodules M Ghassemi, JH Van Stan, DD Mehta, M Zañartu, HA Cheyne II, ... IEEE Transactions on Biomedical Engineering 61 (6), 1668-1675, 2014 | 82 | 2014 |
| Subglottal impedance-based inverse filtering of voiced sounds using neck surface acceleration M Zañartu, JC Ho, DD Mehta, RE Hillman, GR Wodicka IEEE Transactions on Audio, Speech, and Language Processing 21 (9), 1929-1939, 2013 | 82 | 2013 |
| Investigating acoustic correlates of human vocal fold vibratory phase asymmetry through modeling and laryngeal high-speed videoendoscopy DD Mehta, M Zañartu, TF Quatieri, DD Deliyski, RE Hillman the Journal of the Acoustical Society of America 130 (6), 3999-4009, 2011 | 81 | 2011 |
| Air-borne and tissue-borne sensitivities of bioacoustic sensors used on the skin surface M Zanartu, JC Ho, SS Kraman, H Pasterkamp, JE Huber, GR Wodicka Biomedical Engineering, IEEE Transactions on 56 (2), 443-451, 2009 | 67 | 2009 |
| Modeling the pathophysiology of phonotraumatic vocal hyperfunction with a triangular glottal model of the vocal folds GE Galindo, SD Peterson, BD Erath, C Castro, RE Hillman, M Zañartu Journal of Speech, Language, and Hearing Research 60 (9), 2452-2471, 2017 | 58 | 2017 |
| Ambulatory assessment of phonotraumatic vocal hyperfunction using glottal airflow measures estimated from neck-surface acceleration JP Cortés, VM Espinoza, M Ghassemi, DD Mehta, JH Van Stan, ... PLoS One 13 (12), e0209017, 2018 | 55 | 2018 |
| The difference between first and second harmonic amplitudes correlates between glottal airflow and neck-surface accelerometer signals during phonation DD Mehta, VM Espinoza, JH Van Stan, M Zañartu, RE Hillman The Journal of the Acoustical Society of America 145 (5), EL386-EL392, 2019 | 44 | 2019 |
| A theoretical model of the pressure field arising from asymmetric intraglottal flows applied to a two-mass model of the vocal folds BD Erath, SD Peterson, M Zañartu, GR Wodicka, MW Plesniak The Journal of the Acoustical Society of America 130 (1), 389-403, 2011 | 44 | 2011 |
| Improving EEG muscle artifact removal with an EMG array JA Mucarquer, P Prado, MJ Escobar, W El-Deredy, M Zañartu IEEE transactions on instrumentation and measurement 69 (3), 815-824, 2019 | 41 | 2019 |
| Smartphone-based detection of voice disorders by long-term monitoring of neck acceleration features DD Mehta, M Zañartu, JH Van Stan, SW Feng, HA Cheyne, RE Hillman 2013 IEEE International Conference on Body Sensor Networks, 1-6, 2013 | 38 | 2013 |
| Non-stationary Bayesian estimation of parameters from a body cover model of the vocal folds PJ Hadwin, GE Galindo, KJ Daun, M Zañartu, BD Erath, E Cataldo, ... The Journal of the Acoustical Society of America 139 (5), 2683-2696, 2016 | 33 | 2016 |
Daryush D. Mehta, PhDDirector of Voice Science and Technology Laboratory, Center for Laryngeal Surgery and VoiceEmail verificata su alum.mit.edu
