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Joseph Keshet

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  • Comment: copy/paste of works from [1] is not required Snowycats (talk) 05:08, 29 October 2020 (UTC)
  • Comment: Need more secondary, reliable sources talking about Mr Keshet - RichT|C|E-Mail 18:55, 10 October 2020 (UTC)

Joseph Keshet
Born
Tel-Aviv, Israel
NationalityIsraeli
Alma materTel-Aviv University
Hebrew University of Jerusalem
Scientific career
FieldsComputer Science
InstitutionsBar-Ilan University
Thesis Large Margin Algorithms for Discriminative Continuous Speech  (2008)
Doctoral advisorYoram Singer

Joseph (Yossi) Keshet (Hebrew: יוסי קשת; born: 28 February 1973) is an Israeli professor in the Computer Science Department at Bar-Ilan University, and head of the Speech, Language and Deep Learning Laboratory.[1]

Early life and education

Joseph (Yossi) Keshet was born in Tel-Aviv. He graduated from the Amal School and began his academic studies at the Department of Electrical Engineering – Systems at Tel-Aviv University in 1991 and received his B.Sc. (Cum Laude) in 1994. Keshet served in the IDF Unit 8200 from 1995 to 2002 as the head of the speech processing research section in the R&D Center. During his service, he received a national award from the Administration for the Development of Weapons and Technological Infrastructure (Maf’at).[1] Keshet received his M.Sc. from the same department after he completed his IDF service in 2002. His Dissertation: Stop consonant spotting in continuous speech, was supervised by Dr. Dan Chazan from IBM Research Labs, Haifa. He continued his Ph.D. studies at the Hebrew University of Jerusalem until 2008. Prof. Yoram Singer supervised his thesis on Large Margin Algorithms for Discriminative Continuous Speech.[2]

Career

Keshet was a Research Associate (postdoc) at IDIAP Research Institute, Martigny, Switzerland in 2007,[3] and joined the TTI-Chicago and Department of Computer Science, University of Chicago, Chicago, IL in 2009 as Research Assistant Professor.[4] In 2013 he returned to Israel and joined the Computer Science department at Bar-Ilan University, where he is currently a professor and head of the Speech, Language, and Deep Learning Lab. In 2020 Keshet became a Founding Venture Partner at the Disruptive AI Venture Capital.[5] In the same year, he also joined Amazon in Tel-Aviv as an Amazon Scholar.[1]

Research

Keshet’s research work focuses on both machine learning and computational study of human speech and language. His work on speech and language concentrates on speech processing, speech recognition, acoustic phonetics, and pathological speech.[6][7] In machine learning, Keshet is focused on deep learning and structured tasks.[8][9][10][11]

According to Google Scholar (September 2020), Keshet is one of the 15 most cited researchers in the field of spoken language processing.[12]

The algorithms that were developed in the Speech, Language, and Deep Learning Lab can analyze different pathological conditions in the throat and vocal cords based on the subject’s voice.[13] [14][15] Other algorithms showed that the voice can be used to estimate physical and emotional state of the speaker.[16] Another research led by Keshet suggested that it is possible to fool structured AI systems (like Google Voice).[17]

Membership in professional societies

Keshet is the founder and chair of the Machine Learning for Speech and Language Processing Special Interest Group (SIGML) of the International Speech Communication Association (ISCA), from 2011.[18] He is a senior member of the IEEE Signal Processing Society since 2018[19] and a member of ISCA since 2002.

Publications

Prof. Keshet has authored more than 70 scientific publications and edited one book.

Book

Joseph Keshet and Samy Bengio, Eds., Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, John Wiley & Sons, March 2009.[20]

Selected Articles

  • Jacob T. Cohen, Alma Cohen, Limor Benyamini, Yossi Adi, Joseph Keshet, Predicting glottal closure insufficiency using fundamental frequency contour analysis, Head & Neck, Journal of the Sciences and Specialities of the Head and Neck, Volume 41, Issue 7, pp. 2324-2331, July 2019.
  • Yehoshua Dissen, Jacob Goldberger, and Joseph Keshet, Formant Estimation and Tracking: A Deep Learning Approach, Journal of the Acoustical Society of America, 145 (2), February 2019.
  • Joseph Keshet, Automatic speech recognition: A primer for speech-language pathology researchers, International Journal of Speech-Language Pathology, Vol. 20 No. 6, pp. 599-609, 2018.
  • Yossi Adi, Carsten Baum, Moustapha Cisse, Benny Pinkas, Joseph Keshet, Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring, Usenix, 2018.
  • Tzeviya Fuchs, Joseph Keshet, Spoken Term Detection Automatically Adjusted for a Given Threshold, IEEE Journal of Selected Topics in Signal Processing, Dec 2017, Volume 11, Issue 8, pp. 1-8.
  • Moustapha Cisse, Yossi Adi, Natalia Neverova, Joseph Keshet, Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples, Neural Information and Processing Systems (NIPS), 2017.
  • Joseph Keshet, Subhransu Maji, Tamir Hazan, and Tommi Jaakkola, Perturbation Models and PAC-Bayesian Generalization Bounds, in Perturbations, Optimization, and Statistics, Tamir Hazan, George Papandreou, and Daniel Tarlow, Eds., The MIT Press, 2016.
  • Matthew Goldrick, Joseph Keshet, Erin Gustafson, Jordana Heller, and Jeremy Needle, Automatic Analysis of Slips of the Tongue: Insights into the Cognitive Architecture of Speech Production, Cognition, 149, 31-39, 2016.[21]
  • Joseph Keshet, Optimizing the Measure of Performance in Structured Prediction, in Advanced Structured Prediction, Sebastian Nowozin, Peter V. Gehler, Jeremy January, and Christoph H. Lampert, Eds., The MIT Press, 2014.
  • Morgan Sonderegger and Joseph Keshet, Automatic Measurement of Voice Onset Time using Discriminative Structured Prediction, Journal of the Acoustical Society of America, Vol. 132, Issue 6, pp. 3965−3979, 2012.[22]
  • David McAllester, Tamir Hazan and Joseph Keshet, Direct Loss Minimization for Structured Prediction, The 24th Annual Conference on Neural Information Processing Systems (NIPS), 2010.
  • Joseph Keshet, David Grangier and Samy Bengio, Discriminative Keyword Spotting, Speech Communication, Volume 51, Issue 4, pp. 317-329, April 2009.[23]

Personal life

Keshet is married to Lital. They have three children.

References

  1. ^ a b c Curriculum Vitae - Joseph (Yossi) Keshet (PDF), Bar-Ilan University
  2. ^ Large Margin Algorithms for Discriminative Continuous Speech (PDF), Hebrew University
  3. ^ IDIAP Annual Report 2007 - Scientific staff, IDIAP
  4. ^ Faculty Alumni, TTIC
  5. ^ Tal Barnoach's newly launched Disruptive AI to focus on investments in early stage startups, Calcalist, 10 November 2020
  6. ^ Expert Voice Analyst: It's Trump, FactCheck.org, 2 June 2016
  7. ^ On the way to reading minds? Researchers produced speech by analyzing brain activity (in Hebrew), Haaretz, 24 April 2019
  8. ^ Joseph (Yossi) Keshet, Bar-Ilan University
  9. ^ How Israeli algorithms spot signs of depression, Jewish News, 22 May 2020
  10. ^ Radio interview with Joseph Keshet on AI and Hebrew (in Hebrew), Israeli Public Broadcasting Corporation, 16 January 2020
  11. ^ Crammer, Koby; Ofer Dekel.; Joseph Keshet; Shai Shalev-Shwartz; Yoram Singer (2006). "Online Passive-Aggressive Algorithms". Journal of Machine Learning Research. 7 (19): 551−585.
  12. ^ label:spoken_language_processing, Google Scholar
  13. ^ Tell me anything and I'll tell you who you are: the system that will identify diseases using the voice (in Hebrew), Haaretz, 30 December 2016
  14. ^ TV Interview with Joseph Keshet on identifying diseases using the voice (in Hebrew), Kan Educational, 1 January 2017
  15. ^ TV Interview with Joseph Keshet on identifying diseases using the voice (in Hebrew), Israeli Educational Television, 9 January 2017
  16. ^ Talk three seconds to the microphone and the computer will know how you look like and what is your illness (in Hebrew), TheMarker, 11 May 2020
  17. ^ Tricking Algorithms—Fraudsters' Next Frontier, Calcalist, 30 October 2017
  18. ^ Machine Learning Special Interest Group, ISCA
  19. ^ 267 Signal Processing Society Members Elevated to Senior Member!, IEEE, October 2018
  20. ^ Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, John Wiley & Sons
  21. ^ Goldrick, M.; Keshet J.; Gustafson E.; Heller J.; Needle J. (2016). "Automatic analysis of slips of the tongue: Insights into the cognitive architecture of speech production". Cognition. 149: 31–39. doi:10.1016/j.cognition.2016.01.002. PMC 4749438. PMID 26779665. S2CID 6578549.
  22. ^ Sonderegger, Morgan; Joseph Keshet (2012). "Automatic measurement of voice onset time using discriminative structured prediction". The Journal of the Acoustical Society of America. 132 (6): 3965–3979. Bibcode:2012ASAJ..132.3965S. doi:10.1121/1.4763995. PMID 23231126.
  23. ^ Keshet, J.; Grangier, D.; Bengio, S. (2009). "Discriminative Keyword Spotting". Speech Communication. 51 (4): 317–329. doi:10.1016/j.specom.2008.10.002.
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