Associate Professor Tom Moir

profile image

Associate Professor

Email: tom.moir@aut.ac.nz

ORCID: ORCID logo https://orcid.org/0000-0002-4291-6143

Academic appointments:

  • Assosiate Professor, AUT (2012 - ongoing)

Professional activities:

Editorship, reviewing, examining, and judging

  • Editor of IEEE Conference Proceedings, Proceedings of Mechatronics and Machine Vision in Practice,Massey University,Auckland,New Zealand, (2017)
  • Editor and Technical Chair, IEEE 14th Int Workshop on Advanced Motion Control (AMC),Auckland New Zealand ISBN: 9781479984657 (2016)

Research outputs:

Books

  • Moir, T. (2020). Feedback. Cham, Switzerland: Springer Nature. doi:10.1007/978-3-030-34839-7

  • Moir, T., & Qi, Z. (2008). An Adaptive Wiener Filter for Automatic Speech Recognition in a Car Environment with Non-Stationary Noise. Springer. doi:10.1007/978-3-540-79590-2_20

Journal articles

  • Sharan, R. V., & Moir, T. J. (2019). Acoustic event recognition using cochleagram image and convolutional neural networks. Applied Acoustics, 148, 62-66. doi:10.1016/j.apacoust.2018.12.006

  • Sharan, R. V., & Moir, T. J. (2018). Pseudo-color cochleagram image feature and sequential feature selection for robust acoustic event recognition. Applied Acoustics, 140, 198-204. doi:10.1016/j.apacoust.2018.05.030

  • Moir, T. J. (2018). Toeplitz matrices for LTI systems, an illustration of their application to Wiener filters and estimators. International Journal of Systems Science, 49(4). doi:10.1080/00207721.2017.1419306

  • Chehrehsa, S., & Moir, T. J. (2017). Speech and noise power estimation using Gamma modeling. International Journal of Adaptive Control and Signal Processing, 31(10). doi:10.1002/acs.2781

  • Sharan, R. V., & Moir, T. J. (2017). Robust acoustic event classification using deep neural networks. Information Sciences, 396. doi:10.1016/j.ins.2017.02.013

  • Harris, J. I., Alam, F., & Moir, T. J. (2017). A hybrid frequency–time domain symmetric adaptive decorrelator. Signal, Image and Video Processing, 11(5). doi:10.1007/s11760-016-1040-0

  • Sharan, R. V., & Moir, T. J. (2016). An overview of applications and advancements in automatic sound recognition. Neurocomputing, 200. doi:10.1016/j.neucom.2016.03.020

  • Moir, T. J. (2016). FIR system identification for correlated noise using the convolution matrix, an investigation. Signal, Image and Video Processing, 10(6). doi:10.1007/s11760-015-0857-2

  • Moir, T., & Chehrehsa, S. (2015). Speech enhancement using Maximum A-Posteriori and GaussianMixture Models for speech and noise Periodogram estimation. Computer Speech and Language, 36. doi:10.1016/j.csl.2015.09.001

  • Moir, T. J. (2015). Spectral factorization using FFTs for large-scale problems. International Journal of Adaptive Control and Signal Processing, 29(8). doi:10.1002/acs.2512

  • Sharan, R. V., & Moir, T. J. (2015). Noise robust audio surveillance using reduced spectrogram image feature and one-against-all SVM. Neurocomputing, 158. doi:10.1016/j.neucom.2015.02.001

  • Sharan, R. V., & Moir, T. J. (2015). Noise robust audio surveillance using reduced spectrogram image feature and one-against-all SVM. Neurocomputing. doi:10.1016/j.neucom.2015.02.001

  • Moir, T. J. (2015). Spectral factorization using FFTs for large-scale problems. International Journal of Adaptive Control and Signal Processing, 29(8). doi:10.1002/acs.2512

  • Sharan, R. V., & Moir, T. J. (2015). Subband time-frequency image texture features for robust audio surveillance. IEEE Transactions on Information Forensics and Security, 10(12). doi:10.1109/TIFS.2015.2469254

  • Moir, T. (2014). Inverting non-minimum phase FIR transfer functions with application to reverberant speech. Int Journal Speech Technology, 17(3). doi:10.1007/s10772-014-9227-7

  • Moir, T. J. (2014). Inverting non-minimum phase FIR transfer functions with application to reverberant speech. International Journal of Speech Technology, 17(3). doi:10.1007/s10772-014-9227-7

  • Moir, T. J., & Pettigrew, A. M. (2014). A multiplicative cancellation approach to multipath
    suppression in FM radio. Wireless Personal Communications, 75(2). doi:10.1007/s11277-013-1392-5

  • Moir, T. (2013). FIR System Identification Using Feedback. Journal of Signal and Information Processing (JSIP, 4(4). doi:10.4236/jsip.2013.44049

  • Moir, T. (2013). FPGA Based Rapid Prototyping of a Crosstalk-resistant Adaptive Decorrelator. DLINE Transactions on Machine Design, 1(2). Retrieved from http://www.dline.info/tmd/index.php

  • Moir, T. (2013). A Multiplicative Cancellation Approach to Multipath
    Suppression in FM Radio. Wireless Personal Communications. doi:10.1007/s11277-013-1392-5

  • Moir, T. J. (2013). Inverting non-minimum phase FIR transfer functions. American Journal of Signal Processing, 3(4). doi:10.5923/j.ajsp.20130304.02

  • Moir, T. J. (2013). Filtering, smoothing and prediction using a control-loop spectral factorization method for coloured noise. International Journal of Adaptive Control and Signal Processing, 27(3). doi:10.1002/acs.2285

  • Moir, T. J., & Harris, J. I. (2012). Decorrelation of multiple non-stationary sources using a multivariable crosstalk-resistant adaptive noise canceller. International Journal of Adaptive Control and Signal Processing.

  • Moir, T. (2012). Filtering, Smoothing, and Prediction using a control-loop spectral factorization method for coloured noise. International Journal of Adaptive Control and Signal Processing.

  • Moir, T. J., & Harris, J. I. (2012). Decorrelation of multiple non-stationary sources using a multivariable crosstalk-resistant adaptive noise canceller. International Journal of Adaptive Control and Signal Processing, 27(5). doi:10.1002/acs.2303

  • Moir, T. J. (2011). A Control Theoretical Approach to the Polynomial Spectral-Factorization Problem. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 30(5), 987-998. doi:10.1007/s00034-011-9270-4

  • Moir, T. J. (2011). Loop-shaping techniques applied to the least-mean-squares algorithm. Signal, Image and Video Processing, 5(2), 231-243. doi:10.1007/s11760-010-0157-9

  • Moir, T. (2011). A control theoretical approach to the polynomial spectral factorization problem. Circuits, Systems and Signal Processing, 30(5). doi:10.1007/s00034-011-9270-4.

  • Moir, T. (2011). A unified family of recursive algorithms using feedback. Circuits, Systems and Signal Processing, 30(5). doi:10.1007/s00034-010-9252-y

  • Yoganathan, V., & Moir, T. J. (2010). Multi-microphone adaptive neural switched Griffiths-Jim beamformer for noise reduction. International Conference on Signal Processing Proceedings, ICSP, 299-302. doi:10.1109/ICOSP.2010.5657119

  • Qi, T., & Moir, T. (2010). Automotive speech control in a non-stationary noisy environment. International Journal of Computer Applications in Technology, 39(1/2/3). doi:10.1504/IJCAT.2010.034726

  • Moir, T., & Qi, T. (2010). A hybrid noise canceller with a real-time adaptive Wiener filter and a geometric-based voice–activity detector for an automotive application. International Journal of Adaptive Control and Signal Processing, 24(6). doi:10.1002/acs.1146

  • Moir, T. (2010). Loop-shaping techniques applied to the Least-Mean-Squares Algorithm. Signal, Image and Video Processing, 5(2). Retrieved from http://www.springerlink.com/content/f05754747466j8p7/

  • Moir, T., & Filho, G. L. (2010). From science fiction to science fact:
    a smart-house interface using speech
    technology and a photo-realistic avatar. International Journal of Computer Applications in Technology (IJCAT), 39(1/2/3). doi:10.1504/IJCAT.2010.034727

  • Moir, T. (2010). The trapezoidal method of steepest-descent and its application to adaptive filtering. The Open Signal Processing Journal, 3. doi:10.2174/1876825301003010001

  • Moir, T. J. (2009). Control theoretical approach to multivariable spectral factorisation problem. ELECTRON LETT, 45(24). doi:10.1049/el.2009.2257

  • Moir, T. J. (2009). Control systems approach to the sample inverse covariance matrix. J FRANKLIN I, 346(3). doi:10.1016/j.jfranklin.2008.08.007

  • Jeong, J., & Moir, T. J. (2008). A real-time kepstrum approach to speech enhancement and noise cancellation. NEUROCOMPUTING, 71(13-15). doi:10.1016/j.neucom.2007.09.026

  • Moir, T. J. (2008). A kepstrum approach to time-delay estimation with application to acoustic source tracking. 15th International Conference on Mechatronics and Machine Vision in Practice, M2VIP'08.

  • Moir, T. (2007). A z-domain transfer function solution to the non-minimum phase acoustic beamformer.. International Journal of Systems Science, 38(7). doi:10.1080/00207720701431276

  • Moir, T., & Qi, T. (2007). Automotive 3-Microphone Noise Canceller in a Frequently Moving Noise Source Environment. International Journal of Information and Communication Engineering, 3(4). Retrieved from http://www.waset.org/journals/ijice/v3/v3-4-40.pdf

  • Moir, T. (2006). Real-time acoustic beamforming on a PC. WSEAS Transactions on Signal Processing, 2(2). Retrieved from http://www.worldses.org/journals/index.html

  • Qi, Z., & Moir, T. J. (2005). An automotive three-microphone voice activity detector and noise canceller. Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005, 139-143.

  • Dussarrat, O. J., Clark, D. F., & Moir, T. J. (2004). Application of a PLL and ALL noise reduction for an optical sensing system. Proceedings of SPIE - The International Society for Optical Engineering, 2782, 88-96. doi:10.1117/12.250729

  • Moir, T. J., & Barrett, J. F. (2003). A kepstrum approach to filtering, smoothing and prediction with application to speech enhancement. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 459(2040), 2957-2976. doi:10.1098/rspa.2003.1137

  • Jong, G. J., Yang, F. Y., Su, T. J., Moir, T. J., & Pettigrew, A. M. (2003). The Autocorrelation Function of the Cochannel FM Interference using the Amplitude-Locked Loop. IECON Proceedings (Industrial Electronics Conference), 2, 1750-1753. doi:10.1109/IECON.2003.1280322

  • Moir, T. J. (2001). Automatic variance control and variance estimation loops. Circuits, Systems, and Signal Processing, 20(1), 1-10. doi:10.1007/BF01204918

  • Chen, W. N., & Moir, T. J. (1999). Active word boundary detection using three microphones. IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation, 615-624.

  • Chen, W. N., & Moir, T. J. (1999). Adaptive noise cancellation for non-stationary real data background noise using three microphones. Electronics Letters, 35(23), 1991-1992. doi:10.1049/el:19991357

  • Dussarrat, O. J., Clark, D. F., & Moir, T. J. (1999). The setting-up of an optical remote sensing system for target identification: A laboratory experiment. IEEE Transactions on Education, 42(3), 186-191. doi:10.1109/13.779897

  • Jong, G. J., Moir, T. J., Pettigrew, A. M., & Su, T. J. (1999). Improvement of FM demodulator with cochannel FM interference. Electronics Letters, 35(20), 1758-1759. doi:10.1049/el:19991172

  • Dussarrat, O. J., Clark, D. F., & Moir, T. J. (1998). A new demodulation process to reduce cochannel interference for a laser vibrometer sensing system. Proceedings of SPIE - The International Society for Optical Engineering, 3411, 2-13. doi:10.1117/12.307683

  • Dussarrat, O. J., Clark, D. F., & Moir, T. J. (1998). Laser sensing application using an amplitude locked loop. Proceedings of SPIE - The International Society for Optical Engineering, 3380, 39-47. doi:10.1117/12.327207

  • Jong, G. J., Moir, T. J., & Pettigrew, A. M. (1998). Co-channel FM interference suppressed by using the amplitude-locked loop for digital communication. Electronics Letters, 34(8), 719-720. doi:10.1049/el:19980564

  • Jong, G. J., Su, T. J., & Moir, T. J. (1998). Performance of the amplitude-locked loop with cochannel interference. IECON Proceedings (Industrial Electronics Conference), 3, 1576-1581.

  • Dussarrat, O. J., Clark, D. F., & Moir, T. J. (1997). Experimental results of the application of PLL and ALL noise reduction for an optical sensing system. Proceedings of SPIE - The International Society for Optical Engineering, 3098, 363-371. doi:10.1117/12.281181

  • Clark, D. F., & Moir, T. J. (1997). Application of a PLL and ALL noise reduction process in optical sensing systems. IEEE Transactions on Industrial Electronics, 44(1), 136-138. doi:10.1109/41.557509

  • Hussain, A., Campbell, D. R., & Moir, T. J. (1997). Multi-sensor sub-band adaptive noise cancellation for speech enhancement in an automobile environment. IEE Colloquium (Digest), (383).

  • Agaiby, H., & Moir, T. J. (1997). Robust word boundary detection algorithm with application to speech recognition. International Conference on Digital Signal Processing, DSP, 2, 753-755.

  • Dusarrat, O. J., & Moir, T. J. (1997). ALL simulation nulls multipath effects. ELECTRONIC ENGINEERING, 69(843), 32-&. Retrieved from http://gateway.webofknowledge.com/

  • Jong, G. J., Su, T. J., Yang, C. H., & Moir, T. J. (1997). Remote wireless measuring systems. IEEE Symposium on Emerging Technologies & Factory Automation, ETFA, 55-59.

  • Hussain, A., Campbell, D. R., & Moir, T. J. (1996). New adaptive non-linear FIR filters for sub-band processing in speech enhancement systems. IEE Colloquium (Digest), (238).

  • Moir, T. J. (1995). Analysis of phase detector DC offset in phaselocked loop. Electronics Letters, 31(16), 1312-1313. doi:10.1049/el:19950919

  • MOIR, T. J. (1995). SIMULATION OF A PHASE-LOCKED LOOP USING MATRIX (VOL 67, PG 45, 1995). ELECTRONIC ENGINEERING, 67(823), 32. Retrieved from http://gateway.webofknowledge.com/

  • Moir, T. J. (1995). Simulation of an amplitude-locked loop using MATRIXx. Electronic Engineering (London), 67(823).

  • Moir, T. J. (1995). Simulation of a phase locked loop using MATRIXx. Electronic Engineering (London), 67(822).

  • Moir, T. J. (1995). Analysis of an amplitude-locked loop. Electronics Letters, 31(9), 694-695. doi:10.1049/el:19950473

  • Moir, T., Hung, C. P., & Findlay, J. (1994). Multivariable Adaptive Noise Cancellation Applied to a Milling Monitoring System. Applied Signal Processing, 1.

  • Pettigrew, A. M., & Moir, T. J. (1993). Coherent demodulation of DSSC without pilot tone using the amplitude-locked loop. AES: Journal of the Audio Engineering Society, 41(12), 998-1007.

  • Dabis, H. S., & Moir, T. J. (1993). A unified approach to optimal estimation using diophantine equations. International Journal of Control, 57(3), 577-598. doi:10.1080/00207179308934408

  • MOIR, T. J., & PETTIGREW, A. M. (1992). ALL OUR OWN IDEA. ELECTRONICS WORLD & WIRELESS WORLD, (1674), 406. Retrieved from http://gateway.webofknowledge.com/

  • Campbell, D. R., Moir, T. J., & Dabis, H. S. (1992). Multivariable polynomial matrix formulation of adaptive noise cancelling. Signal Processing, 26(2), 177-183. doi:10.1016/0165-1684(92)90128-J

  • Moir, T. J., & Pettigrew, A. M. (1992). Inband noise cancelling in FM systems: The white noise case. Electronics Letters, 28(9), 814-815. doi:10.1049/el:19920515

  • Pettigrew, A. M., & Moir, T. J. (1991). Reduction Of Fm Threshold Effect By Inband Noise Cancelling. Electronics Letters, 27(12), 1082-1084. doi:10.1049/el:19910672

  • Moir, T. J., & Dabis, H. S. (1991). Solution Of Generalised Multivariable Noise Cancelling Problem. Electronics Letters, 27(12), 1060-1061. doi:10.1049/el:19910658

  • Moir, T. J. (1991). Stabilising discrete polynomials using spectral factorisation. Electronics Letters, 27(7), 581-583. doi:10.1049/el:19910367

  • Anderson, A. J., & Moir, T. J. (1991). Evaluation of the gain for an adaptive deconvolution smoother. Signal Processing, 22(2), 209-213. doi:10.1016/0165-1684(91)90051-J

  • Moir, T. J., Campbell, D. R., & Dabis, H. S. (1991). A Polynomial Approach to Optimal and Adaptive Filtering with Application to Speech Enhancement. IEEE Transactions on Signal Processing, 39(5), 1221-1224. doi:10.1109/78.80976

  • Moir, T. J. (1991). Frequency-domain approach to state-space LQG self-tuning control. IEE Proceedings D: Control Theory and Applications, 138(4), 372-380. doi:10.1049/ip-d.1991.0050

  • Dabis, H. S., & Moir, T. J. (1991). Least mean squares as a control system. International Journal of Control, 54(2), 321-335. doi:10.1080/00207179108934163

  • ANDERSON, A. J., & MOIR, T. J. (1990). INNOVATIONS-BASED SIGNAL GENERATOR FOR A TRANSPUTER. MICROPROCESSORS AND MICROSYSTEMS, 14(8), 497-503. doi:10.1016/0141-9331(90)90048-Z

  • Anderson, A. J., & Moir, T. J. (1990). A performance evaluation of an IIR adaptive smoother on a dual transputer system. Journal of Microcomputer Applications, 13(4), 305-320. doi:10.1016/0745-7138(90)90031-2

  • Moir, T. J., & Barrett, J. F. (1989). Wiener theory of digital linearquadratic control. International Journal of Control, 49(6), 2123-2155. doi:10.1080/00207178908559766

  • Vishwanath, T. G., Campbell, D. R., & Moir, T. J. (1989). A real‐time implementation of an iir adaptive line enhancer. International Journal of Adaptive Control and Signal Processing, 3(4), 293-303. doi:10.1002/acs.4480030402

  • Moir, T., Vishwanath, T. G., & Campbell, D. R. (1988). A real-time implementation of an adaptive line-enhancer. International Journal of Adaptive Control and Signal Processing, 3.

  • Vishwanath, T. G., Campbell, D. R., & Moir, T. J. (1985). REAL-TIME IMPLEMENTATION OF A SELF-TUNING FILTER AND SMOOTHER USING A TMS32010 MICROPROCESSOR.. IEEE transactions on industrial electronics and control instrumentation, IE-34(1), 115-118.

  • Moir, T., & Barrett, J. F. (1987). A unified approach to multivariable discrete-time filtering based on the Wiener theory. Kybernetika, 23(3). Retrieved from http://dml.cz/bitstream/handle/10338.dmlcz/125607/Kybernetika_23-1987-3_1.pdf

  • Moir, T. J., Vishwanath, T. G., & Campbell, D. R. (1987). Real-time self-tuning deconvolution filter and smoother. International Journal of Control, 45(3), 969-985. doi:10.1080/00207178708933781

  • Vishwanath, T. G., Moir, T. J., & Campbell, D. R. (1986). SELF-TUNING FILTERING AND SMOOTHING OF CORRUPTED SPEECH.. IEE Conference Publication, (258), 162-166.

  • MOIR, T. J., & GRIMBLE, M. J. (1986). WEIGHTED MINIMUM VARIANCE CONTROLLER FOR NONSQUARE MULTIVARIABLE SYSTEMS. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 31(10), 976-977. doi:10.1109/TAC.1986.1104146

  • Moir, T. J. (1986). Optimal deconvolution smoother. IEE Proceedings D: Control Theory and Applications, 133(1), 13-18. doi:10.1049/ip-d.1986.0002

  • Barrett, J. F., Barrett, J. F., & Moir, T. J. (1986). The kepstrum method for spectral analysis. International Journal of Control, 43(1), 29-57. doi:10.1080/00207178608933447

  • Moir, T., & Grimble, M. J. (1985). Multivariable weighted minimum variance self-tuning controllers. Int Journal Control, 42(6).

  • Grimble, M. J., & Moir, T. J. (1985). Multivariate weighted minimum variance self-tuning controllers. International Journal of Control, 42(6), 1283-1307. doi:10.1080/00207178508933426

  • Barrett, J. F., & Moir, T. J. (1984). SPECTRUM ANALYSIS USING KEPSTRUM COEFFICIENTS.. IEE Colloquium (Digest), (1984 /21).

  • Moir, T., & Grimble, M. J. (1984). Optimal self-tuning filtering, prediction, and smoothing for discrete multivariable processes. IEEE Trans Automatic Control, 29(2). Retrieved from http://ieeexplore.ieee.org/

  • Grimble, M. J., & Moir, T. J. (1984). MULTIVARIABLE WEIGHTED MINIMUM VARIANCE SELF-TUNING CONTROLLERS.. Unknown Journal, 341-346.

  • Grible, M. J., Moir, T. J., & Fung, P. T. K. (1982). COMPARISON OF WMV AND LQG SELF-TUNING CONTROLLERS.. Unknown Journal, 164-169.

  • Moir, T. J., & Grimble, M. J. (1982). FINITE INTERVAL SMOOTHING FOR DISCRETE-TIME SYSTEMS.. Systems Science, 8(1), 53-74.

Conference contributions

  • Moir, T. J. (2019). Adaptive crosstalk-resistant noise-cancellation using H infinity filters. In Proceedings - 2019 IEEE International Conference on Signals and Systems, ICSigSys 2019 (pp. 24-28). Bandung. doi:10.1109/ICSIGSYS.2019.8811051

  • Sharan, R. V., & Moir, T. J. (2019). Time-frequency image resizing using interpolation for acoustic event recognition with convolutional neural networks. In Proceedings - 2019 IEEE International Conference on Signals and Systems, ICSigSys 2019 (pp. 8-11). Bandung. doi:10.1109/ICSIGSYS.2019.8811088

  • Moir, T. J. (2017). Stability and convergence of a class of nonlinear algorithms in digital signal processing. In Proceedings - International Conference on Signals and Systems, ICSigSys 2017 (pp. 105-111). doi:10.1109/ICSIGSYS.2017.7967022

  • Moir, T. J. (2016). A new look at the LMS algorithm with correlated driving noise. In 3rd International Conference on Signal Processing and Integrated Networks (SPIN) 2016 (pp. 24-27). Noida: IEEE Xplore online. Retrieved from http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7566656

  • Sharan, R. V., & Moir, T. J. (2015). Cochleagram image feature for improved robustness in sound recognition. In International Conference on Digital Signal Processing, DSP Vol. 2015-September (pp. 441-444). : Institute of Electrical and Electronics Engineers Inc.. doi:10.1109/ICDSP.2015.7251910

  • Sharan, R. V., & Moir, T. J. (2015). Subband spectral histogram feature for improved sound recognition in low SNR conditions. In International Conference on Digital Signal Processing, DSP Vol. 2015-September (pp. 432-435). : Institute of Electrical and Electronics Engineers Inc.. doi:10.1109/ICDSP.2015.7251908

  • Moir, T., & Sharan, R. V. (2015). Robust audio surveillance using spectrogram image texture feature. In 40th IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP) 2015 (pp. 1956-1960). Brisbane: IEEE.

  • Sharan, R. V., Moir, T. J., & IEEE. (2015). ROBUST AUDIO SURVEILLANCE USING SPECTROGRAM IMAGE TEXTURE FEATURE. In 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) (pp. 1956-1960). Retrieved from http://gateway.webofknowledge.com/

  • Sharan, R. V., & Moir, T. J. (2015). Cochleagram image feature for improved robustness in sound recognition.. In DSP (pp. 441-444). : IEEE. doi:10.1109/ICDSP.2015.7251910

  • Sharan, R. V., & Moir, T. J. (2015). Subband spectral histogram feature for improved sound recognition in low SNR conditions.. In DSP (pp. 432-435). : IEEE. doi:10.1109/ICDSP.2015.7251908

  • Moir, T., & Sharan, R. V. (2014). Audio Surveillance under Noisy Conditions using
    Time-Frequency Image Feature. In Proceedings of the 19th International Conference on Digital Signal Processing. Hong Kong: IEEE. doi:10.1109/ICDSP.2014.6900815

  • Moir, T., & Sharan, R. V. (2014). Comparison of Multiclass SVM Classification
    Techniques in an Audio Surveillance Application
    under Mismatched Conditions. In Proceedings of the 19th International Conference on Digital Signal Processing (pp. 83-88). Hong Kong.

  • Moir, T. J. (2014). Spectral factorization of z-domain polynomials using
    non-linear least-squares. In Proceedings of the 19th International Conference on Digital Signal Processing (pp. 42-47). Hong Kong: IEEE. doi:10.1109/ICDSP.2014.6900705

  • Moir, T. (2013). FPGA based crosstalk-resistant adaptive decorrelator. In Third International Conference on Innovative Computing Technology (INTECH 2013) (pp. 504-509). London: IEEE. doi:10.1109/INTECH.2013.6653694

  • Moir, T. (2013). System identification using control theory. In 2013 18th International Conference on Digital Signal Processing (DSP) (pp. 1-6). Santorini: IEEE. doi:10.1109/ICDSP.2013.6622747

  • Moir, T. (2012). Crosstalk-resistant noise-cancellation using Kalman filters. In 9th IMA International Conference on Mathematics in Signal Processing. Birmingham.

  • Harris, J., Moir, T., & Alam, F. (2011). Blind Source Separation for Adaptive Speech Control. In The eighteenth annual Conference on Mechatronics and Machine Vision in Practice. Brisbane. Retrieved from http://www.m2vip.com/

  • Alam, F., Gomasa, S. P., Moir, T., & Lyon, M. (2011). Zigbee Based System for Remote Monitoring and Control of Switches. In The 5th International Conference on Automation, Robotics and Applications -. Wellington: IEEE. Retrieved from http://icara.massey.ac.nz/documents/List%20of%20Accepted%20Papers.pdf

  • Mohaghegh, M., Sarrafzadeh, A., & Moir, T. (2011). Improving Persian-English Statistical Machine Translation: Experiments in Domain Adaption. In The 5th International Joint Conference on Natural Language Processing. Thailand. Retrieved from http://www.ijcnlp2011.org/proceeding/workshop/WS1_WSSANLP/pdf/WSSANLP02.pdf

  • Yoganathan, V., & Moir, T. J. (2010). Speech enhancement using a nonlinear neural switched Griffiths-Jim beamformer. In 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 (pp. 217-220). doi:10.1109/ISSPA.2010.5605538

  • Yoganathan, V., & Moir, T. J. (2010). Speech enhancement using microphone array neural switched Griffiths-Jim beamformer. In 2010 International Conference on Wireless Communications and Signal Processing, WCSP 2010. doi:10.1109/WCSP.2010.5633568

  • Yoganathan, V., & Moir, T. (2010). Speech Enhancement using Microphone Array
    Neural Switched Griffiths-Jim Beamformer. In International Conference on Wireless Communications & Signal Processing (pp. 1-5). Suzhou. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5633568&tag=1

  • Mohaghegh, M., Sarrafzadeh, A., & Moir, T. (2010). Improved Language Modeling for English-Persian Statistical Machine Translation. In Proceedings of SSST-4, (pp. 75-82). Coling. Retrieved from http://www.aclweb.org/anthology/W10-3810

  • Moir, T., Almanji, A., Chitty, C., & Chang, J. (2010). VISION TRACKING AND VOICE-CONTROLLED FOYER SERVICE ROBOT. In 20th ASME Annual Conference on Information Storage and Processing Systems (pp. 150-152). Santa Clara. Retrieved from http://asme-isps2010.massey.ac.nz/ro.html

  • Moir, T., & Yoganathan, V. (2010). Speech enhancement using a nonlinear neural switched Griffiths-Jim Beamformer. In Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on (pp. 217-220). Kuala Lumpur Malaysia. doi:10.1109/ISSPA.2010.5605538

  • Yoganathan, V., & Moir, T. J. (2008). Switched Griffiths-Jim beamformer using the affine projection algorithm. In 15th International Conference on Mechatronics and Machine Vision in Practice, M2VIP'08 (pp. 391-396). doi:10.1109/MMVIP.2008.4749565

  • Moir, T. J., & Filho, G. L. (2008). From science fiction to science fact: A Smart-house interface using speech technology and a photo-realistic Avatar. In 15th International Conference on Mechatronics and Machine Vision in Practice, M2VIP'08 (pp. 327-333). doi:10.1109/MMVIP.2008.4749555

  • Qi, T. Z., & Moir, T. J. (2008). Automotive speech control in a non-stationary noisy environment. In 15th International Conference on Mechatronics and Machine Vision in Practice, M2VIP'08 (pp. 374-377). doi:10.1109/MMVIP.2008.4749562

  • Yoganathan, V., & Moir, T. J. (2008). Switched Griffiths-Jim beamformer using the affine projection algorithm. In 2008 15TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP) (pp. 380-385). Auckland: IEEE.

  • Moir, T. J. (2008). A kepstrum approach to time-delay, estimation with application to acoustic source tracking. In 2008 15TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP) (pp. 367-373). Auckland: IEEE.

  • Qi, T. Z., & Moir, T. J. (2008). Automotive Speech Control in a Non-Stationary Noisy Environment. In 2008 15TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP) (pp. 363-366). Auckland: IEEE.

  • Moir, T. J., & Filho, G. L. (2008). From science fiction to science fact: A Smart-House interface using speech technology and a photo-realistic avatar.. In 2008 15TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP) (pp. 322-328). Auckland: IEEE.

  • Moir, T., & Jeong, J. (2006). Identification of Non-Minimum Phase Transfer Function Components. In 2006 IEEE International Symposium on Signal Processing and Information Technology (pp. 380-384). Vancouver Canada: IEEE. Retrieved from http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4042272

  • Jeong, J., & Moir, T. J. (2006). Two-microphone kepstrum approach to real-time speech enhancement methods. In 2006 IEEE International Conference on Engineering of Intelligent Systems (pp. 393-398). .

  • Hussain, A., Rcampbell, D., & Moir, T. J. (1998). Diverse processing in cochlear spaced sub-bands for multi-microphone adaptive speech enhancement in reverberant environments. In European Signal Processing Conference Vol. 1998-January.

  • Hussain, A., Campbell, D. R., & Moir, T. J. (1997). A new metric for selecting sub-band processing in adaptive speech enhancement systems.. In G. Kokkinakis, N. Fakotakis, & E. Dermatas (Eds.), EUROSPEECH. ISCA. Retrieved from http://www.informatik.uni-trier.de/~ley/db/conf/interspeech/eurospeech1997.html

  • Moir, T., & Agaiby, H. (1997). Knowing the wheat from the weeds in noisy speech.. In Eurospeech 97. 5th European Conference on Speech Communication and Technology (pp. 1119-1122). Rhodes Greece: ISCA. Retrieved from http://www.isca-speech.org/archive/eurospeech_1997/e97_1119.html

  • DABIS, H. S., MOIR, T. J., & CAMPBELL, D. R. (1990). SPEECH ENHANCEMENT BY RECURSIVE ESTIMATION OF DIFFERENTIAL PATH TRANSFER-FUNCTIONS. In PROCEEDINGS OF INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1 AND 2 (pp. 345-348). Retrieved from http://gateway.webofknowledge.com/

Edited books/volumes

  • Moir, T., Potgieter, J., Alam, F., Diegal, O., & Xu, W. L. (2012). Proceedings of the 19th International Conference on Mechatronics and Machine Vision in Practice.. IEEE: AUT(copyright) and IEEE online Xplore.

  • Moir, T., Potgieter, J., Xu, W. L., & Alam, F. (2008). Proceedings of the 15th Conference: Mechatronics and Vision in Practice (M2VIP08).. IEEE. Retrieved from http://ieeexplore.ieee.org.ezproxy.aut.ac.nz/

Oral presentations

  • Moir, T. (2011). Knowing the Wheat from the Weeds in Noisy Speech. WS102.

  • Moir, T. (2010). Smart-Houses,Speech Recognition and Virtual-Humans. Transpower House,Wellington. Retrieved from http://www.eea.co.nz/Story?Action=View&Story_id=2701

  • Moir, T. (2010). Smart-house speech technology in a noisy environment: where science-fiction meets reality. School of Engineering, St Pauls Street Auckland.

  • Moir, T. (2010). Smart-Houses,Speech Recognition and Virtual-Humans. University of Waikato.

  • Moir, T. (2009). Smart Houses,Speech Recognition and Virtual Humans. Oteha Rohe Entrance,Albany Auckland.

  • Moir, T., & Filho, G. L. (2008). From science fiction to science fact: a smart-house interface using speech technology and a photo-realistic avatar. Massey University Auckland. Retrieved from http://www.mendeley.com/

  • Moir, T. (2008). A kepstrum approach to time-delay estimation with application to acoustic source tracking. Sir Neil Walters Lecture Room. Retrieved from http://www.mendeley.com/

  • Moir, T. (2007). Application of LabView in Signal Processing Research. Engineering Building Symonds Street Auckland.

  • Moir, T. (2006). Microchips design for radio receivers. Massey University Albany, AUckland.

Other outputs

  • Moir, T., Xu, P., Alam, F., & Potgieter, J. (2016). Proceedings of Advanced Motion Control 2016 (AMC16), University of Auckland,New-Zealand.. University of Auckland and IEEE Xplore.

  • Moir, T., Alam, F., Potgieter, J., & Xu, P. (2010). Int. J. Computer Applications in Technology, Editorial: Special Issue on Mechatronics and Machine Vision in Practice. In International Journal of Computer Applications in Technology (IJCAT) (Iss. 1/2/3). Inderscience Publishers. Retrieved from http://www.inderscience.com/

  • Moir, T., Xu, W., Potgieter, J., & Alam, F. (2010). Editorial: Special Issue on Mechatronics and Machine Vision in Practice. In International Journal of Intelligent Systems Technologies and Applications, (Iss. 1-4). Inderscience Publishers. Retrieved from http://www.inderscience.com/