Publications « Dr. Michael T. Johnson

Publications

Dr. Michael T. Johnson

Information about my publications, including citation information, is also available on my public
Google Scholar page

 

Publications

Refereed journals and conferences

Journals

  1. Kang, J., Zhang, WQ., Liu, WW., Jia, L., Johnson, M., Lattice Based Transcription Loss for End-to-End Speech Recognition, Journal of Signal Processing Systems, in press.
  2. Berry, J., Kolb, A., Schroeder, J., Johnson, M., Jaw Rotation in Dysarthria Measured With a Single Electromagnetic Articulography Sensor, American Journal of Speech – Language Pathology, June 2017. (pdf)
  3. Ji, A., Johnson, M., Berry, J., Parallel reference speaker weighting for kinematic-independent acoustic-to-articulatory inversion, IEEE/ACM Transactions on Audio, Speech, and Language Processing. Vol. 24, No. 10, October 2016, pp1865-1875. (pdf )
  4. Yang, XK, He, L., Qu, D., Zhang, WQ, Johnson, M., Semi-supervised feature selection for audio classification based on constraint compensated Laplacian score, EURASIP Journal on Audio, Speech, and Music Processing, Vol. 1, No. 9, 2016. (pdf)
  5. Scheifele P.M., Johnson M.T., Fry M., Hamel B., Laclede K., Vocal classification of vocalizations of a pair of Asian Small-Clawed otters to determine stress, The Journal of the Acoustical Society of America Electronic Letters, Vol. 138, No. 1, EL105-EL109, July 2015. (pdf)
  6. B.T.W. Bochera, K. Cherukurib, J.S. Makib, M. Johnsonc, D.H. Zitomer, Relating methanogen community structure and anaerobic digester function, Water Research, Water Research, Vol. 70 No. 1, March 2015, pp425-435. (pdf)
  7. Liu Wei-Wei,Cai Meng, Zhang·Wei-Qiang Zhang, Liu Jia, Johnson Michael T., Discriminative Boosting Algorithm for Diversified Front-End Phonotactic Language Recognition, Journal of Signal Processing Systems, in-press May 2015. (pdf 1201kB)
  8. Wei-Qiang Zhang, Cong Guo, Qiao Zhang, Jian Kang, Liang He, Jia Liu, and Michael T. Johnson, A Speech Enhancement Algorithm Based on Computational Auditory Scene Analysis. Journal of Tianjin University, 2015. (Chinese journal. Original language citation: 张卫强,郭璁,张乔,康健,何亮, 刘加,and Michael T. Johnson, 种基于计算听觉场景分析的语音增强算法, 天津大学学报.)
  9. Trawicki, Marek B. and Johnson, Michael T., Beta-order minimum mean-square error multichannel spectral amplitude estimation for speech enhancement, International Journal of Adaptive Control and Signal Processing, January 2015.
    (pdf 619kB)
  10. Arik Kershenbaum, Daniel Blumstein, Marie Roch, Michael T. Johnson, et. al., Acoustic sequences in non-human animals: a tutorial review and prospectus, Biological Reviews, 2014.
    (pdf 1280kB)
  11. Yu, C, KK Wójcicki, PC L., JHL H., and Michael T. Johnson, Evaluation of the importance of time-frequency contributions to speech intelligibility in noise, The Journal of the Acoustical Society of America, vol 135. no. 5, pp3007-3016, 2014.
    (pdf 2219kB)
  12. Marek B. Trawicki, Michael T. Johnson , Speech enhancement using Bayesian estimators of the perceptually-motivated short-time spectral amplitude (STSA) with Chi speech priors, vol. 57, no. 2, February 2014, pp101-103.
    (pdf 2048kB)
  13. Liu, WeiWei, Weiqiang Zhang, Michael T. Johnson, and Jia Liu, Homogenous ensemble phonotactic language recognition based on SVM supervector reconstruction, EURASIP Journal on Audio, Speech, and Music Processing vol. 42, no. 1, 2014.
    (pdf 756kB)
  14. Junhong Zhao, Wei-Qiang Zhang, Hua Yuan, Michael T Johnson, Jia Liu, Shanhong Xia, “Exploiting contextual information for prosodic event detection using auto-context, EURASIP Journal on Audio, Speech, and Music Processing, vol. 2013, no. 1, December 2013 pp 1-14.
    (pdf 2620kB)
  15. Marek B. Trawicki, Michael T. Johnson , Distributed multichannel speech enhancement based on perceptually-motivated Bayesian estimators of the spectral amplitude, IET Signal Processing, vol. 7, no.4, April 2013, pp. 337-344.
    (pdf 905kB)
  16. An Ji, Michael T. Johnson, Edward J. Walsh, JoAnn McGee, Doug L. Armstrong, Discrimination of individual tigers (Panthera tigris) from long distance roars, The Journal of the Acoustical Society of America vol. 133 no. 3, March 2013, pp1762-1769.
    (pdf 1,485kB)
  17. Yongzhe Shi, Weiqiang Zhang, Jia Liu, Michael T. Johnson, RNN language model with word clustering and class-based output layer, EURASIP Journal on Audio, Speech, and Music Processing vol. 2013 no. 1, January 2013, pp1-7.
    (pdf 1079kB)
  18. Peter M. Scheifele, Michael T. Johnson, David C. Byrne, John G. Clark, Ashley Vandlik, Laura W. Kretschmer, Kristine E. Sonstrom, Noise impacts from professional dog grooming forced-air dryers, Noise and Health, vol. 14 no. 60, October 2012, p224-226.
    (pdf 614kB)
  19. Wen-Lin Zhang, Wei-Qiang Zhang, Bi-Cheng Li, Dan Qu and Michael T.Johnson, Bayesian Speaker Adaptation Based on a New Hierarchical Probabilistic Model, IEEE Transactions on Speech and Language Processing, vol. 20 no. 7, July 2012, pp2002-2015.
    (pdf 951kB)
  20. Yuxiang Shan, Yan Deng, Jia Liu, Michael T. Johnson, Phone lattice reconstruction for embedded language recognition in LVCSR, EURASIP Journal on Audio Speech and Music Processing, vol. 2012, no. 15, April 2012, pp1-13.
    (pdf 506kB)
  21. Marek Trawicki, Michael T. Johnson,
    “Distributed multichannel speech enhancement with minimum mean-square error,
    short-time spectral amplitude,log-spectral amplitude,andspectral phase estimation,”
    Signal Processing, vol. 92, February 2012, 345-456.
    (pdf 454kB)
  22. Peter M. Scheifele, Michael T. Johnson, Laura W. Kretschmer, John G. Clark, Deborah Kemper, Gopu Potty, Ambient habitat noise and vibration at the Georgia Aquarium, The Journal of the Acoustical Society of America, vol. 132 no. 2, February 2012, EL88-EL94.
    (pdf 353kB)
  23. Wei-Qiang Zhang, Liang He, Yan Deng, Jia Liu, M.T. Johnson,
    “Time-Frequency Cepstral Features and Heteroscedastic Linear Discriminant Analysis for Language Recognition,”
    IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 2, February 2011, 266-276.
    (pdf 1616kB)
  24. Kuntoro Adi, Michael T. Johnson, and Tomasz S. Osiejuk,
    “Acoustic Censusing using Automatic Vocalization Classification and Identity Recognition,”
    Journal of the Acoustical Society of America, vol. 127, no. 2, February 2010, pp 874-883.
    (pdf 1329kB)
  25. Yao Ren, Michael T. Johnson, Patrick J. Clemins, Michael Darre, Sharon Stuart Glaeser, Tomasz S. Osiejuk, and Ebenezer Out-Nyarko,
    “A Framework for Bioacoustic Vocalization Analysis Using Hidden Markov Models,”
    Algorithms, vol. 2 no. 3, November 2009, pp 1410-1428.
    (pdf 244kB)
  26. Yanmin Qian, Jia Liu, Michael T. Johnson,
    “Efficient Embedded Speech Recognition for Very Large Vocabulary Mandarin Car-Navigation Systems,”
    IEEE Transactions on Consumer Electronics, vol. 55, no. 3, August 2009, 1496-1500.
    (pdf 576kB)
  27. Yao Ren, Michael T. Johnson, Jidong Tao, “Perceptually motivated wavelet packet transform for bioacoustic signal enhancement,” Journal of the Acoustical Society of America, vol. 124, no. 1, July 2008, 316-327.
    (pdf 1048kB)
  28. Jidong Tao, Michael T. Johnson, Tomasz Osiejuk, “Acoustic model adaptation for ortolan bunting (Emberiza hortulana L.) song type classification,” Journal of the Acoustical Society of America, vol. 123, no. 3, March 2008, pp 1582-1590.
    (pdf 694kB)
  29. Michael T. Johnson, Xiaolong Yuan, Yao Ren, “Speech signal enhancement through adaptive wavelet thresholding,” Speech Communication, vol. 49, No. 2, February 2007, pp 123-133.
    (pdf 387kB)
  30. Patrick Clemins and Michael T. Johnson, “Generalized perceptual linear prediction (gPLP) features for animal vocalization analysis,” Journal of the Acoustical Society of America, Vol. 120, No. 1, July 2006, pp 527-534.
    (pdf 236kB)
  31. Richard J. Povinelli, Michael T. Johnson, Andrew C. Lindgren, Felice Roberts, Jinjin Ye, “Statistical Models of Reconstructed Phase Spaces for Signal Classification”, IEEE Transactions on Signal Processing, Vol. 54, No. 6, June 2006, pp 2178-2186.
    (pdf 538kB)
  32. Michael T. Johnson and Richard J. Povinelli, “Generalized phase space projection for nonlinear noise reduction”, Physica D, No. 201, 2005, pp306-317.
    (pdf 119kB)
  33. Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson, “Sub-banded Reconstructed Phase Spaces for Speech Recognition”, Speech Communication, special issue on non-linear and non-conventional speech processing, Vol. 48, pp 760-774.
    (pdf 847kB)
  34. Michael T. Johnson, “Capacity and Complexity of HMM Duration Modeling Techniques”, IEEE Signal Processing letters, Volume 12, No. 5, May 2005, pp 407-410.
    (pdf 244kB)
  35. Patrick J. Clemins, Michael T. Johnson, Kirsten M. Leong, and Anne Savage, “Automatic Classification and Speaker Identification of African Elephant (Loxodonta Africana) vocalizations”, Journal of the Acoustical Society of America, Vol. 117, No. 2, Feb. 2005, pp 956-963.
    (pdf 565kB)
  36. Michael T. Johnson, Richard J. Povinelli, Andrew Lindgren, Jinjin Ye, Xiaolin Liu, and Kevin Indrebo, Time-Domain Isolated Phoneme Classification using Reconstructed Phase Spaces, IEEE Transactions on Speech and Audio Processing, Vol. 13, No. 4, July 2005, pp 458-466.
    (pdf 640kB)
  37. Richard J. Povinelli, Michael T. Johnson, Andrew C. Lindgren, and Jinjin Ye, “Time Series Classification using Gaussian Mixture Models of Reconstructed Phase Spaces”, IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 6, June 2004, 779-783.
    (pdf 474kB)
  38. Kelly Stonger and Michael T. Johnson, “Optimal Calibration of PET Crystal Position Maps using Gaussian Mixture Models”, IEEE Transactions on Nuclear Science, Vol. 51 No.1, 2004
    (pdf 362kB)
  39. Yang Liu, Mary P. Harper, Michael T. Johnson, and Leah H. Jamieson, “The Effect of Pruning and Compression on Graphical Representations of the Output of a Speech Recognizer”, Computer Speech and Language, Volume 17, 2003, pp. 329-256.
    (pdf 448kB)
  40. A.M. Surprenant, S.L. Hura, M.P. Harper, L.H. Jamieson, G.Long, S.M. Thede, A. Rout, T.H. Hsueh, S.A. Hockema, M.T. Johnson, P. Srinivasan, and C.M. White, “Familiarity and Pronouncibility of Nouns and Names”, Behavior Research, Methods, Instruments, & Computers, Vol. 31, Nov. 1999, pp. 638-649.
  41. Anne Smith, Michael Johnson, Clare McGillem, and Lisa Goffman “On the Assessment of Stability and Patterning of Speech Movements”, Journal of Speech, Language, and Hearing Research, Vol. 43, 2000, pp 277-286.
    (pdf 1,240kB)

    Peer-Reviewed Conferences and Presentations

  42. Berry, Jeffrey, Cassandra North, and Michael T. Johnson, Dynamic aspects of articulating with a virtual vocal tract in dysarthria, International Conference on Motor Speech, 2014.
    (pdf 240kB)
  43. Berry, Jeffrey, A Kolb, C North, and Michael T. Johnson, Acoustic and Kinematic Characteristics of Vowel Production through a Virtual Vocal Tract in Dysarthria, Interspeech 2014.
    (pdf 389kB)
  44. Berry, Jeffrey, John Jaeger, M Wiedenhoeft, B Bernal, and Michael T. Johnson, Consonant Context Effects on Vowel Sensorimotor Adaptation, Interspeech 2014.
    (pdf 389kB)
  45. Ji, An, Michael T. Johnson, and Jeffrey Berry, Palate-referenced Articulatory Features for Acoustic-to-Articulator Inversion, Interspeech 2014.
    (pdf 380kB)
  46. Wang, Jianglin and Michael T. Johnson, Physiologically-motivated Feature Extraction for Speaker Identification, ICASSP 2014.
    (pdf 482kB)
  47. Berry, Jeffrey, Cassandra North, and Michael T. Johnson, Sensorimotor adaptation of speech using real-time articulatory synthesis, ICASSP 2014.
    (pdf 893kB)
  48. Ji, An, Jeffrey Berry, and Michael T. Johnson, The electromagnetic articulography Mandarin- accented English (EMA-MAE) corpus of acoustic and 3D articulatory- kinematic data, ICASSP 2014.
    (pdf 492kB)
  49. Jeffrey Berry, An Ji, and Michael T. Johnson, “Dynamic aspects of vowel production in Mandarin-accented English”, American Speech Language Hearing Association 2013, Chicago, IL, November 2013.
  50. Jeffrey Berry, Christine Belchel, Cassandra North, and Michael T. Johnson, “Learning novel articulatory-acoustic mappings in dysarthria”, American Speech Language Hearing Association 2013, Chicago, IL, November, 2013.
  51. Jianglin Wang, Michael T. Johnson, Vocal source features for bilingual speaker identification, China SIP, July 2013, Beijing China.
    (pdf 293kB)
  52. An Ji, Michael T. Johnson, Jeffrey Berry, Articulatory space calibration in 3D Electromagnetic Articulography, China SIP, July 2013, Beijing China.
    (pdf 313kB)
  53. Jeffrey Berry, Cassandra North, Benjamin Meyers, Michael T. Johnson, Speech sensorimotor learning through a virtual vocal tract, Proceedings of Spring 2013 Meetings on Acoustics, Montreal, June 2013.
    (pdf 415kB)
  54. An Ji, Jeffrey Berry, Michael T. Johnson, Vowel production in Mandarin accented English and American English: Kinematic and acoustic data from the Marquette University Mandarin accented English corpus, Proceedings of Spring 2013 Meetings on Acoustics, Montreal, June 2013.
    (pdf 949kB)
  55. Marek B. Trawicki, Michael T. Johnson, An Ji, Tomasz S. Osiejuk, Multichannel speech recognition using distributed microphone signal fusion strategies, 2012 International Conference on Audio, Language and Image Processing (ICALIP), Shanghai, China, July 2012.
    (pdf 81kB)
  56. Jianglin Wang, An Ji, Michael T. Johnson, Features for phoneme independent speaker identification, 2012 International Conference on Audio, Language and Image Processing (ICALIP), Shanghai, China, July 2012.
    (pdf 104kB)
  57. Jianglin Wang, Michael T. Johnson, Residual Phase Cepstrum Coefficients with Application to Cross-lingual Speaker Verification, Interspeech 2012, Portland, September 2012.
    (pdf 224kB)
  58. Trawicki, Marek B. and Michael T. Johnson. “Improvements of the Beta-Order Minimum Mean-Square Error (MMSE) Spectral Amplitude Estimator using Chi Priors,” Interspeech 2012, Portland, September 2012.
    (pdf 54kB)
  59. An Ji, MT Johnson, J Berry, Tracking articulator movements using orientation measurements, 2012 International Conference on Audio, Language and Image Processing (ICALIP), Shanghai, China, July 2012.
    (pdf 373kB)
  60. Michael T. Johnson and Patrick Clemins, Individual Identification using Hidden Markov Models for Population Monitoring and Assessment, Invited Presentation to Special Session Topical Meeting on Signal Processing of Subtle and Complex Acoustic Signals in Animal Communication, Acoustical Society of America Spring 2010 Meeting, Baltimore, Maryland, April 2010.
  61. Marek Trawicki and Michael T. Johnson,Optimal Distributed Microphone Phase Estimation,
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2009, Taiwan, April 2009, pp 2177-2180.
    (pdf 80kB)
  62. Yao Ren and Michael T. Johnson,Auditory Coding based Speech Enhancement,
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2009, Taiwan, April 2009, pp 4685-4688.
    (pdf 490kB)
  63. Marek B. Trawicki, Yao Ren, Michael T. Johnson, Tomasz S. Osiejuk, “Distributed Multi-Channel Speech Enhancement of Ortolan Bunting (Emberiza Hortulana) Vocalizations”, Acoustic Communication by Animals, Corvallis, Oregon, 2008, pp. 276-277.
  64. Kuntoro Adi, Michael T. Johnson, Tomasz S. Osiejuk, “Hidden Markov Model (HMM) based animal acoustic censusing”, Acoustic Communication by Animals, Corvallis, Oregon, 2008, pp. 3-4.
  65. Ebenezer Otu-Nyarko, Peter Scheifele, Michael Darre, Michael Johnson, “Classification of stressful vocalizations of captive laying chickens using the Hidden Markov Model (HMM)”, Acoustic Communication by Animals, Corvallis, Oregon, 2008, pp. 176-177.
  66. Kristine Sonstrom, Peter Scheifele, Michael Darre, Michael Johnson, “The classification of vocalizations to identify social groups of beluga whales in the St. Lawrence River Estuary using the Hidden Markov Model”, Acoustic Communication by Animals, Corvallis, Oregon, 2008, pp 251-252.
  67. Kuntoro Adi, Kristine E. Sonstrom, Peter M. Scheifele, Michael T. Johnson, “Unsupervised Validity Measures for Vocalization Clustering,” International Conference on Acoustics Speech and Signal Processing 2008 (ICASSP08), Las Vegas, Nevade, April 2008.
    (pdf 107kB)
  68. Yao Ren, Michael T. Johnson, “An Improved SNR Estimator for Speech Enhancement,” International Conference on Acoustics Speech and Signal Processing 2008 (ICASSP08), Las Vegas, Nevade, April 2008.
    (pdf 254kB)
  69. Mohamed A. Mneimneh, Michael T. Johnson, Richard J. Povinelli, “A Heart Cell Model for the Identification of Myocardial Ischemia,” International Conference on Health Informatics”, Funchal Madeira, Portugal, January 2008.
  70. Z. W. Slavens, R. S. Hinks, J. A. Polzin, and M. T. Johnson, “Improved MR Image Magnification by Generalized Interpolation of Complex Data,” Proceedings of the 15th Annual Meeting of ISMRM, Berlin, Germany, (Abstract #1887), May 2007.
  71. Craig A. Struble, Richard J. Povinelli, Michael T. Johnson, Dina Berchanskiy, Jidong Tao, Marek Trawicki, “Combined Conditional Random Fields and n-Gram Language Models for Gene Mention Recognition, Proceedings of the Second BioCreative Challenge Evaluation Workshop, Madrid, Spain, April 2007.
  72. Xi Li, Jidong Tao, Michael T. Johnson, Joseph Soltis, Anne Savage, Kirsten M. Leong, John D. Newman, “Stress and Emotion Classification using Jitter and Shimmer Features,” International Conference on Acoustics Speech and Signal Processing 2007 (ICASSP07), Honolulu, Hawii, April 2007.
    (pdf 1586kB)
  73. Mohamed A. Mneimneh, Richard J. Povinelli, Michael T. Johnson ” An Integrative Approach for the Measurement of QT interval” Computers in Cardiology, Valencia, Spain, September 2006, pp 329-332.
  74. Mohamed A. Mneimneh, Edwin E. Yaz, Michael T. Johnson, Richard J. Povinelli “Adaptive Kalman Filter Approach for the Baseline Removing Baseline Wandering ” Computers in Cardiology, Valencia, Spain, September 2006, pp. 253-256.
  75. Richard J. Povinelli, Mohamed A. Mneimneh, Michael T. Johnson “Cardiac Model Based Approach to QT Estimation” Computers in Cardiology, Valencia, Spain, September 2006, pp. 333-336.
  76. Patrick Clemins, Marek B. Trawicki, Kuntoro Adi, Jidong Tau, and Michael T. Johnson, “Generalized Perceptual Features for Vocalization Analysis across Multiple Species,” International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2006, Toulouse, France, May 2006.
    (pdf 98kB)
  77. Kuntoro Adi, Michael T. Johnson, “Cepstral moment normalization for robust individual identification of ortolan bunting (emberiza hortulana L),” presented at the Spring 2006 meetings of the Acoustical Society of America, May 2006, Providence, RI.
    (pdf 190kB)
  78. Anthony D. Ricke, Richard J. Povinelli, Michael T. Johnson, “Segmenting Heart Sound Signals,” Computers in Cardiology, Leon, France, September 25-28, 2005, in press.
  79. Marek Trawicki and Michael T. Johnson, “Automatic Song-Type Clasification and Speaker Identification of Norwegian Ortolan Bunting (Emberiza Hortulana)”, IEEE International Conference on Machine Learning in Signal Processing (MLSP), Mystic Connecticut, September 2005, in press.
    (pdf 412kB)
  80. Patrick J. Clemins and Michael T. Johnson, “Unsupervised Classification of Beluga Whale Vocalizations”, Spring 2005 Meetings of the Acoustical Society of America, Vancouver, May 2005.
    (Abstract pdf 69kB)
  81. Kevin M. Indrebo, Richard J. Povinelli, and Michael T. Johnson, “Third-order Moments of Filtered Speech Signals for Robust Speech Recognition”, International Conference on Non-linear Speech Processing (NOLISP) 2005, Barcelon, Spain, April 2005, pp 151-157.
    (pdf 128kB)
  82. Jidong Tao and Michael T. Johnson, “Comparison and Evaluation of Animal Vocalization Enhancement Techniques”, Fall 2004 Meetings of the Acoustical Society of America, San Diego, November 2004.
    (Abstract pdf 51kB)
  83. Kuntoro Adi and Michael T. Johnson, “Automatic Song-type classification and Individual Identification of Ortolan Bunting (Emberiza Hortulana L) vocalizations”, Fall 2004 Meetings of the Acoustical Society of America, San Diego, November 2004.
    (Abstract pdf 101kB)
  84. Andrew Lindgren, Michael T. Johnson, and Richard J. Povinelli, “Joint Frequency Domain and Reconstructed Phase Space Features for Speech Recognition”, International Conference on Acoustics Speech and Signal Processing 2004 (ICASSP04), Montreal
    (pdf 565kB)
  85. Heather E. Ewalt and Michael T. Johnson, “Combining Multi-source Wiener Filtering with Parallel Beamformers to Reduce Noise from Interfering Talkers”, International Conference on Signal Processing (ICSP) 2004, Beijing, August 2004
    (pdf 362kB)
  86. Kevin M. Indrebo, Richard J. Povinelli, and Michael T. Johnson, “A comparison of reconstructed phase spaces and cepstral coefficients for multi-band phoneme classification”, International Conference on Signal Processing (ICSP) 2004, Beijing, August 2004
    (pdf 262kB)
  87. Patrick Clemins and Michael T. Johnson, “Generalized perceptual features for animal vocalization classification”, Spring 2004 Meetings of the Acoustical Society of America, New York, May 2004
    (pdf 63kB)
  88. Mike Zimmerman, Richard J. Povinelli, Michael T. Johnson, and Kris Ropella, “A Reconstructed Phase Space Approach for Distinguishing Ischemic from Non-Ischemic ST Changes using Holter ECG Data”, Computers in Cardiology, Thessolonica, Greece, September, 2003.
    (pdf 223kB)
  89. Patrick Clemins and Michael T. Johnson, “Automatic Classification of African Elephant (Loxodonta africana) Follicular and Luteal Rumbles”, 1st International Conference on Acoustic Communication by Animals, Baltimore, Maryland, July 2003
    (pdf 48kB)
  90. Patrick Clemins and Michael T. Johnson, “Automatic Type Classification and Speaker Identification of African Elephant (Loxodonta Africana) Vocalizations”, Spring 2003 Meetings of the Acoustical Society of America, Nashville, May 2003
    (Abstract pdf 14kB)
  91. Heather E. Ewalt and Michael T. Johnson, “Multiple Speech Signal Enhancement using a Microphone Array”, Spring 2003 Meetings of the Acoustical Society of America, Nashville, May 2003
    (Abstract pdf 13kB)
  92. Kevin M. Indrebo, Richard J. Povinelli, and Michael T. Johnson, “A Combined Sub-band and Reconstructed Phase Space Approach to Phoneme Classification”, ISCA tutorial and research workshop on non-linear speech processing (NOLISP) 2003, Le Croisic, France, May 2003
    (pdf 150kB)
  93. Jinjin Ye, Michael T. Johnson, and Richard J. Povinelli, “Study of attractor variation in the reconstructed phase space of speech signals”,ISCA tutorial and research workshop on non-linear speech processing (NOLISP) 2003, Le Croisic, France, May 2003
    (pdf 170kB)
  94. Jinjin Ye, Michael T. Johnson, and Richard J. Povinelli “Phoneme classification over reconstructed phase space using principal component analysis”, ISCA tutorial and research workshop on non-linear speech processing (NOLISP) 2003, Le Croisic, France, May 2003
    (pdf 155kB)
  95. Xiaolin Liu, Richard J. Povinelli, and Michael T. Johnson, “Vowel classification by global dynamic modeling”, ISCA tutorial and research workshop on non-linear speech processing (NOLISP) 2003, Le Croisic, France, May 2003
    (pdf 357kB)
  96. Patrick Clemins and Michael T. Johnson, “Application of Speech Recognition to African Elephant (Loxodonta Africana) Vocalizations”, International Conference on Acoustics, Speech and Signal Processing 2003 (ICASSP03), Hong Kong, April 2003
    (pdf 176kB)
  97. Michael T. Johnson, Andrew C. Lindgren, Richard J. Povinelli, and Xiaolong Yuan, “Performance of Nonlinear Speech Enhancement using Phase Space Reconstruction”, International Conference on Acoustics, Speech and Signal Processing 2003 (ICASSP03), Hong Kong, April 2003
    (pdf 177kB)
  98. Andrew C. Lindgren, Michael T. Johnson, and Richard J. Povinelli, “Speech Recognition using Reconstructed Phase Space Features”, International Conference on Acoustics, Speech and Signal Processing 2003 (ICASSP03), Hong Kong, April 2003
    (pdf 204kB)
  99. Xiaolin Liu, Richard Povinelli, and Michael T. Johnson, “Detecting Determinism in Speech Phonemes”, IEEE Digital Signal Processing Workshop 2002, Atlanta, Georgia, October 2002.
    (pdf 310kB)
  100. Jinjin Ye, Richard J. Povinelli, and Michael T. Johnson, “Phoneme Classification Using naïve Bayes Classifier in Reconstructed Phase Space”, IEEE Digital Signal Processing Workshop 2002, Atlanta, Georgia, October 2002.
    (pdf 157kB)
  101. Patrick Clemins and Michael T. Johnson, “Automatic Speech Recognition and Speaker Identification of Animal Vocalizations”, Measuring Behavior 2002, Amsterdam, Netherlands, August 2002.
    (pdf 66kB)
  102. Richard J. Povinelli, Felice M. Roberts, Kristina M. Ropella, Michael T. Johnson, “Are Nonlinear Ventricular Arrhythmia Characteristics Lost, As Signal Duration Decreases?”, to be presented at Computers in Cardiology, Memphis, TN, September 2002.
    (pdf 249kB)
  103. Richard J. Povinelli, Michael T. Johnson, Nabeel A.O. Demerdash, John F. Bangura, “A Comparison of Phase Space Reconstruction and Spectral Coherence Approaches for Diagnostics of Bar and End-Ring Connector Breakage and Eccentricity Faults in Polyphase Induction Motors using Motor Design Particulars”, to be presented at IEEE Industry Applications Society meetings 2002, Pittsburgh, PA, October 2002.
    (pdf 670kB)
  104. Patrick Clemins, Heather Ewalt and Michael Johnson, “Time-aligned SVD Analysis for Speaker Identification”, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, May 2002
    (pdf 139kB)
  105. Michael T. Johnson and Leah H. Jamieson, “Temporal Features for Broadcast News Segmentation”, ISCA Workshop on Prosody in Speech Understanding and Recognition, October 2001
    (pdf 186kB)
  106. Michael T. Johnson and Mary P. Harper, “Near Minimal Weighted Word Graphs for Post-processing Speech”, 1999 International Workshop on Automatic speech Recognition and Understanding, December 1999.
    (pdf 50kB)
  107. M.P. Harper, M.T. Johnson, L.H. Jamieson, S.A. Hockema, and C.M. White, “Interfacing a CDG Parser with an HMM Word Recognizer Using Word Graphs”, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, March 1999, pp 733-736.
    (pdf 110kB)
  108. Michael T. Johnson, Leah H. Jamieson, and Mary P. Harper “Interfacing Acoustic Models with Natural Language Processing Systems”, Proceedings of the International Conference on Spoken Language Processing, December 1998, pp 2419-2422.
    (pdf 51kB)
  109. A.M. Supranant, S.L. Hura, M.P. Harper, L.H. Jamieson, G. Long, S.M. Thede, A. Rout, T.H. Hsueh, S.A. Hockema, M.T. Johnson, J.B. Laflen, P. Srinivasa, and C.M. White, “Familiarity and Pronouncibility of Nouns and Names: The Purdue Proper Name Database”, The 16th International Congress on Acoustics and the Acoustical Society of America, June, 1998.
  110. Michael Johnson and Mita Desai, “An Adaptive Approach for Texture Modelling”, Proceedings of the International Conference on Image Processing, November 1994.
    (pdf 287kB)
  111. Harold Longbotham, Michael Johnson, Jack Harris, and Redouan Rouzky, “The FatBear: a nonarithmetic pico filter”, Proceedings of the SPIE, July 1993.
    (Scanned pdf 2,820kB)

Book Chapters

Theses and Dissertations

  • Michael T. Johnson, “Incorporating Prosodic Information and Language Structure into Speech Recognition Systems”, PhD Dissertation, Purdue University School of Electrical and Computer Engineering, August 2000.
    (pdf 1,129kB)
  • Michael T. Johnson, “An Adaptive Texture Model Based on Markov Random Fields”, Masters Thesis, University of Texas at San Antonio, August 1994.

Graduate Student Theses and Dissertations

  • Jose, Neenu, “Speaker and Gender Identification using Bioacoustic Data Sets”, Masters Thesis, University of Kentucky, May 2018. (pdf 1,545kB)
  • Vonderhaar, Joe, “Speaker-specific Adaptation of Maeda Synthesis Parameters for Auditory Feedback”, Marquette University, May 2017. (pdf 2,702kB)
  • Jones, Deriq, “Development of Kinematic Templates for Automatic Pronunciation Assessment using Acoustic-to-Articulatory Inversion”, Marquette University, May 2017. (pdf 2,467kB)
  • Vonderhaar, Kelly, “Analysis of the Interference between Electromagnetic Articulography and Electroglottograph Systems”, Marquette University, August 2016. (pdf 3,770kB)
  • Zhou, Xiangyu, “Least-squares Mapping from Kinematic Data to Acoustic Synthesis Parameters for Rehabilitative Acoustic Learning”, Marquette University, December 2015. (pdf 3,610kB)
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