International Journals

[1]
T.Thiruvaran, M.Nosratighods, E.Ambikairajah, and J.Epps, “Computationally efficient frame-averaged FM feature extraction for speaker recognition,” Electronics Letters, vol. 45, no. 6, pp. 335–337, 2009.
[2]
T.Thiruvaran, E.Ambikairajah, and J.Epps, “Extraction of FM components from speech signals using all-pole model,” Electronics Letters, vol. 44, no. 6, pp. 449–450, Mar. 2008, doi: 10.1049/el:20080147.
[3]
J.Epps, E.Ambikairajah, and T.Thiruvaran, “Robust FM demodulation of discrete-time signals using least squares differential ratio,” Electronics Letters, vol. 43, no. 13, pp. 727–729, Jun. 2007, doi: 10.1049/el:20070969.
[4]
C. C. Huang, J. Epps, and T. Thiruvaran, “An investigation of supervector regression for forensic voice comparison on small data,” EURASIP Journal on Audio, Speech, and Music Processing, vol. 7, 2015.
[5]
T. Thiruvaran, V. Sethu, E. Ambikairajah, and H. Li, “Spectral shifting of speaker-specific information for narrow band telephonic speaker recognition,” IET Electronics Letters, vol. 51, pp. 2149–2151, 2015.
[6]
A. Nishanth and T. Thiruvaran, “Identifying important attributes for early detection of Chronic Kidney Disease,” IEEE Reviews in Biomedical Engineering, vol. 11, pp. 208–216, 2018.

International Conference

[1]
T.Thiruvaran, E.Ambikairajah, J.Epps, and E.Enzinger, “A comparison of single-stage and two-stage modelling approaches for automatic forensic speaker recognition,” in IEEE 8th International Conference on Industrial and Information Systems, Dec. 2013, pp. 433–438. doi: 10.1109/ICIInfS.2013.6732023.
[2]
T.Thiruvaran, T.Phung, and E.Ambikairajah, “Automatic detection and identification of electric loads at the event of switching-on that load,” in IEEE 8th International Conference on Industrial and Information Systems, Dec. 2013, pp. 682–687. doi: 10.1109/ICIInfS.2013.6732067.
[3]
E.Ambikairajah, T.Thiruvaran, and R.Eaton, “Enhancement of traditional mode of teaching based on the experience of project-based learning,” in IEEE 8th International Conference on Industrial and Information Systems, Dec. 2013, pp. 665–670. doi: 10.1109/ICIInfS.2013.6732064.
[4]
T.Thiruvaran, T.Phung, and E.Ambikairajah, “Automatic identification of electric loads using switching transient current signals,” in IEEE Tencon - Spring, Apr. 2013, pp. 252–256. doi: 10.1109/TENCONSpring.2013.6584450.
[5]
R.Saeidi et al., “A large-scale collaborative effort for noise-robust speaker verification,” 2013.
[6]
G.S.Morrison, F.Ochoa, and T.Thiruvaran, “database selection for forensic voice comparison,” in Speaker and Language Recognition Workshop, 2012, pp. 62–77.
[7]
J.M.K.Kua, T.Thiruvaran, and E.Ambikairajah, “A Non-Uniform Filterbank for Speaker Recognition,” 2012.
[8]
C.Zhang, G.S.Morrison, and T.Thiruvaran, “Forensic voice comparison using Chinese /iau/,” in The17th International Congress of Phonetic Sciences, 2011, pp. 2280–2283.
[9]
G.S.Morrison, T.Thiruvaran, and J.Epps, “Estimating the precision of the likelihood-ratio output of a forensic-voice-comparison system,” 2010.
[10]
G.S.Morrison, T.Thiruvaran, and J.Epps, “An issue in the calculation of logistic-regression calibration and fusion weights for forensic voice comparison,” 2010.
[11]
T.Thiruvaran, E.Ambikairajah, and J.Epps, “An issue in the calculation of logistic-regression calibration and fusion weights for forensic voice comparison,” in Interspeech, Brighton, U.K., 2009, pp. 1111–1114.
[12]
M.Nosratighods, T.Thiruvaran, J.Epps, E.Ambikairajah, B. Ma, and H. Li, “Evaluation of a fused FM and cepstral-based speaker recognition system on the NIST 2008 SRE,” in IEEE International Conference on Acoustics, Speech and Signal Processing, Apr. 2009, pp. 4233–4236. doi: 10.1109/ICASSP.2009.4960563.
[13]
R.Saeidi et al., “I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification,” 2013.
[14]
H.Li et al., “The I4U system in NIST speaker recognition evaluation,” in IEEE International Conference on Acoustics, Speech and Signal Processing, Apr. 2009, pp. 4201–4204. doi: 10.1109/ICASSP.2009.4960555.
[15]
T.Thiruvaran, E.Ambikairajah, J.Epps, and E.Jones, “An Investigation of Sub-band FM Feature Extraction in Speaker Recognition,” in The IET Irish Signals and Systems Conference, pp. 32–36.
[16]
T.Thiruvaran, E.Ambikairajah, J.Epps, and E.Jones, “An Investigation of Sub-band FM Feature Extraction in Speaker Recognition,” in Proc. The IET Irish Signals and Systems Conf., Galway, Ireland, 2008, pp. 1497–1500.
[17]
Y.Bo, T.Thiruvaran, E.Ambikairajah, and F.Chen, “Introducing a FM based Feature to Hierarchical Language Identification,” in Proc. Interspeech, Brisbane, Aust, 2008, pp. 731–734.
[18]
T.Thiruvaran, E.Ambikairajah, and J.Epps, “Normalization of Modulation Features for Speaker Recognition,” in International Conference on Digital Signal Processing, Cardiff, UK, pp. 599–602.
[19]
T.Thiruvaran, E.Ambikairajah, and J.Epps, “Group delay features for speaker recognition,” in 6th International Conference on Information, Communications Signal Processing, Dec. 2007, pp. 1–5. doi: 10.1109/ICICS.2007.4449768.
[20]
T.Thiruvaran, E.Ambikairajah, and J.Epps, “Speaker Identification using FM Features,” in Eleventh Australasian International Conference on Speech Science and Technology, 2006, pp. 148–152.
[21]
J.M.K.Kua, T.Thiruvaran, M.Nosratighods, E.Ambikairajah, and J.Epps, “Investigation of Spectral Centroid Magnitude and Frequency for Speaker Recognition,” 2010.
[22]
T.Thiruvaran, E.Ambikairajah, and J.Epps, “Analysis of band structures for speaker-specific information in FM feature extraction,” in Interspeech, 2009, pp. 1111–1114.
[23]
T.Thiruvaran, E.Ambikairajah, and J.Epps, “FM Features for Automatic Forensic Speaker Recognition,” in Proc. Interspeech, Australia, 2008, pp. 1497–1500.
[24]
M. Sivagnanam, S. Selvanayagam, N. Nandasiri, V. Aravinthan, T. Thiruvaran, and S. Vinothine, “Analysis of Large Scale Distributed Generation on Radial Distribution System: Case Study in Sri Lanka,” 2019.
[25]
Rajan. R. (undergrad student), V. P. (undergrad student), A. V. (external supervisor), T. T. (Primary supervisor), and V. S, “Low Cost Portable Wind Power Generation for Mobile Charging Applications,” 2018.
[26]
M. Y. (undergrad student), P. E. (undergrad student), T. T. (Primary Supervisor), V.Aravinthan, and B.Thanatheepan, “Bearing Fault Prediction Using Current Signature Analysis in Electric Water Pump,” 2018.
[27]
S. S. (undergrad student), T. T. (primary supervisor), and K. K., “Arduino based soil moisture analyzer as an effective way for irrigation scheduling,” 2018.
[28]
K. Prashanth, T. Thiruvaran, A. Nishanth, S. Vinothine, N. Thiruthanikan, and S. Selvaluxmiy, “Implementation of a Domestic Power Line Quality Measurement System,” 2017.
[29]
T. Balachandran, V. Aravinthan, and T. Thiruvaran, “Local Detection of Distribution Level Faults in a Distributed Sensor Monitoring Network using HMM,” in Electrical Engineering Conference at Colombo, Sri Lanka, 2016, pp. 25–30.
[30]
N. Anandanadarajah and T. Tharmarajah, “Investigation on Different Filters and Different Frequency Bands for Brain Computer Interface with Right Hand and Left Hand Imaginations,” in JUICE Jaffna, Sri Lanka, 2016, pp. 25–30.
[31]
Le. P. Ngoc, A. Eliathamby, T. Tharmarajah, and N. T. Thanh, “A study of effectiveness of speech enhancement for cognitive load classification in noisy conditions,” in International Conference on Advanced Technologies for Communications (ATC), 2015, pp. 451–455.
[32]
K.Kamalaruban, H.Krishnarajah, S.Selvanayagam, T.Thiruvaran, and S.Arunan, “Development of Electromagnetic Picking System for Weaving looms,” 2015.
[33]
T. T., A. E., and E. J., “Normalization of Modulation Features for Speaker Recognition,” in Proc. International Conference on Digital Signal Processing, Cardiff, UK, 2007, pp. 731–734.