Publications

1. T. Fernando, H. Ghaemmaghami, S. Denman, S. Sridharan, N. Hussain, and C. Fookes, "Heart sound segmentation using bidirectional LSTMs with attention," IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 6, pp. 1601–1609, Oct. 2019.

2. T. Dissanayake, T. Fernando, S. Denman, S. Sridharan, H. Ghaemmaghami, and C. Fookes, "A robust interpretable deep learning classifier for heart anomaly detection without segmentation," IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 6, pp. 2162–2171, Sep. 2020.

3. T. Dissanayake, T. Fernando, S. Denman, H. Ghaemmaghami, S. Sridharan, and C. Fookes, "Domain generalization in biosignal classification," IEEE Transactions on Biomedical Engineering, vol. 68, no. 6, pp. 1978–1989, Dec. 2020.

4. T. Fernando, S. Sridharan, S. Denman, H. Ghaemmaghami, and C. Fookes, "Robust and interpretable temporal convolution network for event detection in lung sound recordings," IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 7, pp. 2898–2908, Jan. 2022.

5. H. Ghaemmaghami, N. Hussain, K. Tran, A. Carey, S. Hussain, F. Syed, A. J. Sinskey, K. O'Hashi, and J. Sperling, "Automatic segmentation and classification of cardiac cycles using deep learning and a wireless electronic stethoscope," in Proc. IEEE Life Sciences Conference (LSC), Dec. 2017, pp. 210–213.

6. H. Ghaemmaghami, U. R. Abeyratne, and C. Hukins, "Normal probability testing of snore signals for diagnosis of obstructive sleep apnea," in Proc. 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Minneapolis, MN, USA, Sep. 2009, pp. 5551–5554.

7. U. R. Abeyratne, C. Hukins, V. Swarnkar, S. Karunajeeva, S. De Silva, and H. Ghaemmaghami, "Multi-parametric snore analysis on OSA diagnosis," in Sleep Down Under 2010 – Biodiversity of Sleep: 22nd Annual Scientific Meeting of Australasian Sleep Association and Australasian Sleep Technologists Association, 2010.

8. H. Ghaemmaghami, U. Abeyratne, C. Hukins, and B. Duce, "The utility of the analysis of the gaussianity of snore related sounds in the diagnosis of obstructive sleep apnea," Journal of Sleep and Biological Rhythms, vol. 7, no. 1, p. A27, Jan. 2009. Publisher: Wiley-Blackwell.

9. H. Ghaemmaghami, B. Baker, R. Vogt, and S. Sridharan, "Noise robust voice activity detection using features extracted from the time-domain autocorrelation function," in Proc. 11th Annual Conference of the International Speech Communication Association (INTERSPEECH), 2010, pp. 3118–3121.

10. H. Ghaemmaghami, D. Dean, S. Kalantari, S. Sridharan, and C. Fookes, "Complete-linkage clustering for voice activity detection in audio and visual speech," in Proc. Interspeech 2015 – Sixteenth Annual Conference of the International Speech Communication Association, 2015.

11. H. Ghaemmaghami, D. Dean, S. Sridharan, and D. A. van Leeuwen, "A study of speaker clustering for speaker attribution in large telephone conversation datasets," Computer Speech & Language, vol. 40, pp. 23–45, Nov. 2016. Publisher: Academic Press.

12. H. Ghaemmaghami, D. Dean, S. Sridharan, and I. McCowan, "Noise robust voice activity detection using normal probability testing and time-domain histogram analysis," in Proc. 2010 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar. 2010, pp. 4470–4473.

13. A. Kanagasundaram, D. Dean, S. Sridharan, H. Ghaemmaghami, and C. Fookes, "A study on the effects of using short utterance length development data in the design of GPLDA speaker verification systems," International Journal of Speech Technology, vol. 20, no. 2, pp. 247–259, Jun. 2017. Publisher: Springer US.

14. S. Kalantari, D. Dean, S. Sridharan, H. Ghaemmaghami, and C. Fookes, "Acoustic adaptation in cross database audio visual SHMM training for phonetic spoken term detection," in Proc. Third Edition Workshop on Speech, Language & Audio in Multimedia, Oct. 2015, pp. 11–14.