Prof. Yizhar Lavner

Prof. Yizhar Lavner

Name: 
Prof. Yizhar Lavner
Position: 
Associate Professor
Department: 
Computer Science - B.Sc. Program
Phone Number: 
04-8181732

Areas of Interest

Speech and Audio Processing and Analysis
Signal Processing
Speech and Voice Perception
Machine learning for audio processing
Scientific Computing

Short Bio

Yizhar Lavner received the B.Sc. and M.Sc. degrees from the Hebrew University, and the Ph.D. from the Technion, Israel institute of Technology. 

 

 

Research

  • Speech and Audio Signal Processing and Analysis,
  • Speech and Voice Perception,
  • Biological Signal Processing,
  • Machine Learning for Audio Signal Processing,
  • Scientific Computing.

 

Teaching

Current Courses

  • Introduction to Digital Signal Processing (199419),
  • Machine Learning and Pattern Recognition (199269), 
  • Applied Math and Scientific Computing (122108).
  • Linear Algebra (111102)
  • Project (199002)

 

Former Courses

  • Mathematical Models in Biology (1997–2005).
  • Digital Signal Processing (1998–2000)
  • Introduction to Random Signal Processing (1999–2000).
  • Speech and Audio Processing (2002, 2005)
  • Algorithms in Computational Biology (2005–2006) 

 

Awards

  • Senior Member, IEEE (2008).
  • Best poster award ISMB and ECCB  conference, Glasgow, Scotland, (2004).
  • Best student paper award, (22nd IEEE Convention of Electrical and Electronics Engineers in Israel, Tel-Aviv, Israel, 2002, paper co-authord with Gidon Porat.
  • Research Fellowship, The Jewish Agency, (2002).
  • Research Award, The Jewish Agency and Shutfut 2000, Magbit Canada, (2000).
  • The Jewish Agency award for distinguished doctoral studies (1995).
  • Distinguished Master Thesis award, The Lipman Hailperin faculty award, Hebrew University, Jerusalem, (1989).

Publications

Selected Publications

  1. Banai K. and Lavner Y. (2016), "The effects of exposure and training on the perception of time-compressed speech in native versus nonnative listeners", J. Acoust. Soc. Am. 40 (3), 1686-1696, September 2016. abstract
  2. Lavner Y. and Rabinowitz I. (2015), “Increasing stimulus duration improves attention and memory performance in elderly with cognitive impairment”, Sage Open Medicine, December 2015, 2050312115621566.
  3. Banai K. and Lavner Y. (2014), “The effects of training length on the perceptual learning of time-compressed speech and its generalization”, J. Acoust. Soc. Am. 136 (4), 1908-1917, October, 2014. abstract
  4. Khatib, S., Finberg, J.P.M., Artoul, F., Lavner, Y., Mahmood, S., Tisch, U., Haick, H., Aluf, Y., and Vaya, J. (2014), “Analysis of volatile organic compounds in rats with dopaminergic lesion: Possible application for early detection of Parkinson’s disease”, Neurochemistry International, 76, 82-90, October, 2014.
  5. Rabinowitz, I. and Lavner Y. (2014), “Association between Finger Tapping and Attention, Memory and Cognitive Status in Elderly Patients”, Perceptual & Motor Skills, 119, 1, 259–278, August 2014. abstract
  6. Banai K. and Lavner Y., (2012), “Perceptual Learning of Time-Compressed Speech: More than Rapid Adaptation”, PloS ONE, Vol. 7, 10, doi:10.1371/journal.pone.0047099, 9 pages, October, 2012. pdf
  7. Lavner Y. and Ruinskiy D., (2009), “A Decision-Tree Based Algorithm for Speech/Music Classification and Segmentation”, Eurasip Journal on Audio, Speech and Music Processing, Vol. 2009, 14 pages, Article ID 239892. pdf
  8. Grofit S. and Lavner Y., (2008), “Time-Scale Modification of Audio Signals Using Enhanced WSOLA with Management of Transients”, IEEE Trans. on Audio, Speech and Language Processing, Vol. 16, 1, 106-115, January 2008. pdf
  9. Ruinskiy D., Lavner Y., (2007), “An Effective Algorithm for Automatic Detection and Exact Demarcation of Breath Sounds in Speech and Song Signals”, IEEE transactions on Audio, Speech and Language Processing, Vol. 15, 3, 838-850, March 2007. pdf
  10.  Kotlar D., Lavner Y., (2006), “The Action of Selection on Codon Bias in the Human Genome is Related to Frequency, Complexity, and Chronology of Amino Acids”, BMC Genomics, Vol. 7, April 2006. pdf
  11. Lavner Y., and Porat, G., (2005), “Voice Morphing by 3-D Waveform Interpolation Surface and Lossless Tube Area Function”, EURASIP Journal of Applied Signal Processing, Vol. 8, 1174-1184. pdf
  12. Lavner Y., and Kotlar, D., (2005), “Codon Bias as a Factor in Regulating Expression via Translation Rate in the Human Genome”, Gene, Vol. 345, 1, 127-138, January 2005. pdf
  13. Kotlar D., Lavner Y., (2003), “Gene Prediction by Spectral Rotation (SR) Measure: a New Method for Identifying Protein-Coding Regions”, Genome Research, Vol. 13, 8, 1930-1937, August 2003. pdf
  14. Lavner Y., Gath I. and Rosenhouse, J. (2000), “The Effects of Acoustic Modifications on the Identification of Familiar Voices Speaking Isolated Vowels”,  Speech Communication, Vol. 30, 9-26.

Recent Conference Publications

  • Lavner Y., Cohen R., Ruinskiy D. and IJzerman H., (2016), "Baby cry detection in domestic environment using deep learning", ICSEE 2016, Eilat, Israel, November 2016.
  • Lavner Y., Khatib S., Artoul F. and Vaya, J., (2014), “An Algorithm for Processing and Analysis of Gas Chromatography–Mass Spectrometry (GC-MS) Signals for Early Detection of Parkinson's Disease”, 28th IEEE Convention of Electrical and Electronics Engineers in Israel, (IEEEI-2014), Eilat, Israel, December 2014. pdf
  • Frid A. and Lavner Y., (2014),  “Spectral and Textural Features for Automatic Classification of Fricatives Using SVM”, International Conference on Systems, signals and Image Processing (IWSSIP 2014), Dubrovnik, Croatia, May 2014.
  • Ruinskiy, D. and Lavner, Y., (2014) “A Multistage Algorithm for Fricative Spotting”, (2014), XXII Annual Pacific Voice Conference (XXII PVC 2014), Krakow, Poland, April, 11-13, 2014. pdf
  • Frid A. and Lavner Y., (2014), “Spectral and Textural Features for Automatic Classification of Fricatives”, (2014), XXII Annual Pacific Voice Conference (XXII PVC 2014), Krakow, Poland, April, 11-13, 2014.
  • Cohen R. and Lavner Y., (2012), “Infant Cry Analysis and Detection”, 27th IEEE Convention of Electrical and Electronics Engineers in Israel (IEEEI'12), Eilat, Israel, November 2012.
  • Frid A. and Lavner Y., (2012), “Analysis of Finger Tapping Parameters in People with ADHD”, 27th IEEE Convention of Electrical and Electronics Engineers in Israel (IEEEI'12), Eilat, Israel, November 2012.
  • Cohen R., Ierushalmi O., Lavner Y., Genussov M. and Steiner A., (2012), “Manipulation of Unvoiced Fricatives for Improved Discrimination by Hearing Impaired”, iberSPEECH 2012.

 

Presentations

  • "Baby cry detection in domestic environment using deep learning", ICSEE 2016, International Conference on the Science of Electrical Engineering, Eilat, Israel, 2016. pdf
  • “An Algorithm for Processing and Analysis of Gas Chromatography–Mass Spectrometry (GC-MS) Signals for Early Detection of Parkinson's Disease”, 28th IEEE Convention of Electrical and Electronics Engineers in Israel, (IEEEI'14),  Eilat, Israel, 2014. pdf
  • “Spectral and Textural Features for Automatic Classification of Fricatives",  Annual Pacific Voice Conference, XXII, PVC East, April 11-13, Krakow, Poland, 2014. pdf
  • “A Multi-Stage Algorithm for Fricative Spotting”, Annual Pacific Voice Conference, XXII, PVC East, April 11-13, Krakow, Poland, 2014. pdf
  • “Manipulation of Unvoiced Fricatives for Improved Discrimination by Hearing Impaired”, iberSPEECH 2012. pdf
  • “Analysis of Finger Tapping Parameters in People with ADHD”, 27th IEEE Convention of Electrical and Electronics Engineers in Israel (IEEEI'12), Eilat, Israel, November 2012. pdf