| Acoustic sequences in non‐human animals: a tutorial review and prospectus A Kershenbaum, DT Blumstein, MA Roch, Ç Akçay, G Backus, MA Bee, ... Biological Reviews 91 (1), 13-52, 2016 | 316 | 2016 |
| Time series classification using Gaussian mixture models of reconstructed phase spaces RJ Povinelli, MT Johnson, AC Lindgren, J Ye IEEE Transactions on Knowledge and Data Engineering 16 (6), 779-783, 2004 | 227 | 2004 |
| Stress and emotion classification using jitter and shimmer features X Li, J Tao, MT Johnson, J Soltis, A Savage, KM Leong, JD Newman 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 194 | 2007 |
| On the assessment of stability and patterning of speech movements A Smith, M Johnson, C McGillem, L Goffman Journal of Speech, Language, and Hearing Research 43 (1), 277-286, 2000 | 150 | 2000 |
| Speech signal enhancement through adaptive wavelet thresholding MT Johnson, X Yuan, Y Ren Speech Communication 49 (2), 123-133, 2007 | 144 | 2007 |
| Automatic classification and speaker identification of African elephant (Loxodonta africana) vocalizations PJ Clemins, MT Johnson, KM Leong, A Savage The Journal of the Acoustical Society of America 117 (2), 956-963, 2005 | 137 | 2005 |
| Capacity and complexity of HMM duration modeling techniques MT Johnson IEEE signal processing letters 12 (5), 407-410, 2005 | 126 | 2005 |
| An adaptive Kalman filter for removing baseline wandering in ECG signals MA Mneimneh, EE Yaz, MT Johnson, RJ Povinelli 2006 Computers in Cardiology, 253-256, 2006 | 111 | 2006 |
| Automatic segmentation of heart sound signals using hidden Markov models AD Ricke, RJ Povinelli, MT Johnson Computers in Cardiology, 2005, 953-956, 2005 | 105 | 2005 |
| Statistical models of reconstructed phase spaces for signal classification RJ Povinelli, MT Johnson, AC Lindgren, FM Roberts, J Ye IEEE Transactions on Signal processing 54 (6), 2178-2186, 2006 | 103 | 2006 |
| Virtual reality human-robot collaborative welding: A case study of weaving gas tungsten arc welding Q Wang, Y Cheng, W Jiao, MT Johnson, YM Zhang Journal of Manufacturing Processes 48, 210-217, 2019 | 95 | 2019 |
| Speech recognition using reconstructed phase space features AC Lindgren, MT Johnson, RJ Povinelli 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 85 | 2003 |
| Speaker embedding extraction with phonetic information Y Liu, L He, J Liu, MT Johnson arXiv preprint arXiv:1804.04862, 2018 | 84 | 2018 |
| Dynamic task interleaving in robot assisted order-fulfillment operations B Welty, M Johnson, S Johnson, AA Dekin III US Patent App. 15/080,862, 2017 | 73 | 2017 |
| Acoustic censusing using automatic vocalization classification and identity recognition K Adi, MT Johnson, TS Osiejuk The Journal of the Acoustical Society of America 127 (2), 874-883, 2010 | 65 | 2010 |
| Generalized phase space projection for nonlinear noise reduction MT Johnson, RJ Povinelli Physica D: Nonlinear Phenomena 201 (3-4), 306-317, 2005 | 64 | 2005 |
| Virtual reality robot-assisted welding based on human intention recognition Q Wang, W Jiao, R Yu, MT Johnson, YM Zhang IEEE Transactions on Automation Science and Engineering 17 (2), 799-808, 2019 | 60 | 2019 |
| A framework for bioacoustic vocalization analysis using hidden Markov models Y Ren, MT Johnson, PJ Clemins, M Darre, SS Glaeser, TS Osiejuk, ... Algorithms 2 (4), 1410-1428, 2009 | 60 | 2009 |
| Time-domain isolated phoneme classification using reconstructed phase spaces MT Johnson, RJ Povinelli, AC Lindgren, J Ye, X Liu, KM Indrebo IEEE Transactions on Speech and Audio Processing 13 (4), 458-466, 2005 | 58 | 2005 |
| The Electromagnetic Articulography Mandarin Accented English (EMA-MAE) corpus of acoustic and 3D articulatory kinematic data A Ji, JJ Berry, MT Johnson 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 57 | 2014 |
Richard J PovinelliProfessor of Electrical and Computer Engineering, Marquette Universityبريد إلكتروني تم التحقق منه على marquette.edu
