|Add a Photo|
|Born||February 28, 1973|
|Thesis||Large Margin Algorithms for Discriminative Continuous Speech (2008)|
|Doctoral advisor||Yoram 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.
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). 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.
Keshet was a Research Associate (postdoc) at IDIAP Research Institute, Martigny, Switzerland in 2007, and joined the TTI-Chicago and Department of Computer Science, University of Chicago, Chicago, IL in 2009 as Research Assistant Professor. 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.
According to Google Scholar (September 2020), Keshet is one of the 15 most cited researchers in the field of spoken language processing.
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.  Other algorithms showed that the voice can be used to estimate physical and emotional state of the speaker. Another research led by Keshet suggested that it is possible to fool structured AI systems (like Google Voice).
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. He is a senior member of the IEEE Signal Processing Society since 2018 and a member of ISCA since 2002.
Keshet is married to Lital. They have three children.
Joseph Keshet in the media
- Curriculum Vitae - Joseph (Yossi) Keshet (PDF), Bar-Ilan University
- Large Margin Algorithms for Discriminative Continuous Speech (PDF), Hebrew University
- IDIAP Annual Report 2007 - Scientific staff, IDIAP
- Faculty Alumni, TTIC
- label:spoken_language_processing, Google Scholar
- Tell me anything and I'll tell you who you are: the system that will identify diseases using the voice (in Hebrew), Haaretz, December 30, 2016
- TV Interview with Joseph Keshet on identifying diseases using the voice (in Hebrew), Kan Educational, January 1, 2017
- TV Interview with Joseph Keshet on identifying diseases using the voice (in Hebrew), Israeli Educational Television, January 9, 2017
- Talk three seconds to the microphone and the computer will know how you look like and what is your illness (in Hebrew), TheMarker, May 11, 2020
- Tricking Algorithms—Fraudsters' Next Frontier, Calcalist, October 30, 2017
- Machine Learning Special Interest Group, ISCA
- 267 Signal Processing Society Members Elevated to Senior Member!, IEEE, October 2018
This article "Joseph Keshet" is from Wikipedia. The list of its authors can be seen in its historical. Articles taken from Draft Namespace on Wikipedia could be accessed on Wikipedia's Draft Namespace.