Dr. Itshak Lapidot joined the Afeka Center for Language Processing (ACLP) in 2012 as a senior researcher. Apart from his research at the ACLP, Dr. Lapidot also holds a teaching position with the Electrical Engineering Department at the Afeka Tel Aviv Academic College of Engineering. Previously, Dr. Lapidot served as a researcher at the Laboratoire Informatique d'Avignon (LIA), University of Avignon, France. Between 2003-2011 Dr. Lapidot was a lecturer and researcher at Sami Shamoon College of Engineering (SCE), Be'er Sheva, Israel and was later was appointed Head of the Department of Electrical and Electronic Engineering at the SCE Ashdod Campus. Between 1999-2002, Dr. Lapidot was a lecturer in the Department of Software Engineering at the Negev Academic College of Engineering (NACE), Be'er-Sheva, Israel. Dr. Lapidot holds B.Sc, M.Sc and Ph.D degrees in Electrical and Computer Engineering from Ben-Gurion University, Be'er-Sheva, Israel. His Postdoctoral Research was conducted at the IDIAP Research Institute, Martigny, Switzerland.
Fields Of Interest
Time series clustering
Huleihel M., Lapidot I., Mordechai S., Moreh R., Pomerantz A., Salman A., Shufan E. & Tsror L., “Identification of Fungal Phytopathogens using FTIR-ATR Spectroscopy and Advanced Statistical Methods,”
Journal of Biomedical Optics, vol. 17, no.1, 2012.
Huleihel M., Lapidot I., Mordechai S., Moreh R., Pomerantz A., Salman A., Tsror L. & Zwielly A., “Detection and Identification of Fusarium Oxysporum Strains using FTIR-ATR Spectroscopy,”
Analyst, vol. 136,no. 5, pp. 988-995, 2011.
Conference Proceedings and Presentations
Fishman, B. , Lapidot, I. and Opher, I. "Prosodic Features' Criterion For Hebrew in proceedings of International Conference on Text, Speech, andj Dialogue, Springer, 2018.
I. Lapidot, A. Shoa, T. Furmanov, L. Aminov, A. Moyal, J.-F. Bonastre "Generalized Viterbi-based models for time - series segmentation and clustering applied to speaker diariztion" Computer Speech & Language Volume 45, September 2017.
I. Lapidot and I. Salmun, “ ACLP SRE 2016 report,” NIST SRE 2016 Workshop, San-Diego, USA, December 2016.
A. J. Bekker, I. Opher, I. Lapidot, and J. Goldberge, “Intra-cluster training strategy for deep learning with applications to language identification,” 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), September 13-16, 2016, Vietri sul Mare, Salerno, Italy
M. Ajili, J.-F. Bonastre, S. Rossato, J. Kahn, and I. Lapidot, “Homogeneity Measure for Forensic Voice Comparison: A Step Forward Reliability,” in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp. 135-142, 2015, Springer International Publishing.
M. Ajili, J.-F. Bonastre, S. Rossato, J. Kahn, I. Lapidot, “An information theory based data-homogeneity measure for voice comparison,” Interspeech’15, September 6-10, 2015, Dresden, Germany.
T. Furmanov, L. Aminov, A. Moyal, and I. Lapidot, “Mahalanobis Based Emission Model for Speaker Diarization of Telephone Conversations,“ IEEE 28th Convention of Electrical and Electronics Engineers in Israel, 2014, Eilat, Israel.
Ben-Harush O., I. Lapidot, and H. Guterman, “Online diarization of telephone conversations,” Odyssey’10, June 28 – July 01, 2010, Brno, Czech. (paper)
Ben-Harush O., I. Lapidot, and H. Guterman, “Entropy Based Overlapped Speech Detection as a Pre-processing Stage for Speaker Diarization,” Interspeech’09, September 6-10, 2009, Brighton, UK.
Ajmera J., H. Bourlard, I. Lapidot, and I. McCowan, “Unknown-multiple speaker clustering using HMM,”
Proc. International Conference on Spoken Language Processing, pp. 573-576, September 16-20, 2002, Denver, Colorado, USA.