Dr Bernard John Guillemin
NZCS (Physics); BE (1st Class Honours); PhD
Bernard Guillemin received his BE (with first class honours) and PhD degree from the Department of Electrical and Computer Engineering of the University of Auckland, New Zealand, in 1981 and 1986, respectively. He is currently a senior lecturer and Deputy Head (Academic) in the Department of Electrical and Computer Engineering, University of Auckland.
His research interests focus primarily on forensic voice comparison. He has acted as an expert witness in forensic speech analysis for the High Court of New Zealand for over 20 years. He has served as a reviewer for a number of international journals.
Research | Current
I am currently researching the impact of mobile phone technology on forensic voice comparison. Recent work has examined the impacts of 3rd generation mobile phone technology, specifically the GSM and CDMA networks, on this process. Current research is focusing on 4th generation mobile phone systems, specifically LTE and its associated speech codecs.
Teaching | Current
ELECTENG 310 Electrical Engineering Design 1
ELECTENG 732 Communication Systems
ELECTENG 303 Systems and Control
ELECTENG 724 Special Topic
Kobra (Hanie) Mehdinezhad, Investigation into the accuracy and reliability of the complex cepstral coefficients for forensic voice comparison when applied to mobile phone speech, PhD, University of Auckland, (current).
Balamurali Bahuleyan Nair Thulasi Kumari, Impact on forensic voice comparison of speech acquired from the GSM mobile phone network, PhD, University of Auckland, 2015.
Esam Ali Alzqhoul, Impact of the CDMA mobile phone network on speech used for forensic voice comparison, PhD, University of Auckland, 2015.
Matthew C. McCallum, Single-channel statistical Bayesian short-time fourier transform speech enhancement with deterministic apriori information, PhD, University of Auckland, 2015
Daniel Protheroe, Determination and display of spatial and temporal room impulse responses, ME, University of Auckland, 2011.
Iain L. Mackenzie, The development of a prototype subsampling receiver, ME, University of Auckland, 1997.
Anna W.S. Kwong, Investigation of quadrature imperfections in a baseband sampling receiver, ME, University of Auckland, 1997.
John G. Leber, Time-frequency analysis of transient evoked otoacoustic emissions, ME, University of Auckland, 1995.
Mark Johnson, The application of adaptive techniques to duct active noise control, PhD, University of Auckland, 1992.
Mark M. Thomson, Speech analysis based on a parametric model of the vocal tract and its excitation, PhD, University of Auckland, 1991.
Jane Y.B.Ooi, Neural networks and their application to speech recognition, ME, University of Auckland, 1990.
Duncan C. Watson, Development of a speech synthesis facility, ME, University of Auckland, 1984.
Deputy HoD (Academic), Department of Electrical and Computer Engineering
Areas of expertise
Forensic voice comparison; Speech enhancement; Speaker recognition and verification; Adaptive noise cancellation
Selected publications and creative works (Research Outputs)
- Alzqhoul, E., Nair, B., & Guillemin, B. (2016). Impact of background noise in mobile phone networks on forensic voice comparison. HSOA Journal of Forensic, Legal & Investigative Sciences, 2 (1).10.24966/FLIS-733X/100007
- T Nair, B. B., & S Alzqhoul, E. A. (2016). Impact of the GSM and CDMA Mobile Phone Networks on the Strength of Speech Evidence in Forensic Voice Comparison. Journal of Forensic Research, 07 (02).10.4172/2157-7145.1000324
- Alzqhoul, E., Nair, B., & Guillemin, B. (2015). Impact of dynamic rate coding aspects of mobile phone networks on forensic voice comparison. Science and Justice, 55 (5), 363-374. 10.1016/j.scijus.2015.04.006
- Nair, B. B. T., & Alzqhoul, E. A. S. (2015). Impact of Frame Loss Aspects of Mobile Phone Networks on Forensic Voice Comparison. International Journal of Sensor Networks and Data Communications, 04 (02).10.4172/2090-4886.1000131
- Alzqhoul, E., Nair, B., & Guillemin, B. (2014). An alternative approach for investigating the impact of mobile phone technology on speech. Lecture Notes in Engineering and Computer Science: Proceedings of the World Congress on Engineering and Computer Science 2014, 1, 544-550. San Francisco, USA.
- Nair, B., Alzqhoul, E., & Guillemin, B. (2014). Comparison between Mel-frequency and complex cepstral coefficients for forensic voice comparison using a likelihood ratio framework. Lecture Notes in Engineering and Computer Science: Proceedings of the World Congress on Engineering and Computer Science, 1, 496-501. San Francisco, USA.
- Alzqhoul, E., Nair, B. B. T., & Guillemin, B. (2014). Comparison between speech parameters for forensic voice comparison using mobile phone speech. In J. Hay, E. Parnell (Eds.) Proceedings of the 15th Australasian International Conference on Speech Science and Technology, 28-31. Christchurch, New Zealand. Related URL.
- Nair, B., Alzqhoul, E., & Guillemin, B. J. (2014). Determination of likelihood ratios for forensic voice comparison using principal component analysis. International Journal of Speech, Language and the Law, 21 (1), 83-112. 10.1558/ijsll.v21i1.83