Dr. Joseph Keshet

Machine learning; Speech recognition; Audio, speech and language processing



My research interests concern both machine learning and computational study of human speech and language. In machine learning my research is focused on deep learning and structured prediction, while my research on speech and language is focused on speech processing, speech recognition, acoustic phonetics, and pathological speech.


1. Gabi Shalev, Yossi Adi, and Joseph Keshet, Out-of-Distribution Detection using Multiple Semantic Label Representations, working paper on arXiv, 2018.
2. Matthew Goldrick, Rhonda McClain, Emily Cibelli, Yossi Adi , Erin Gustafson, Cornelia Moers, and Joseph Keshet, The influence of lexical selection disruptions on articulation, Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018 (in press).
3. Yossi Adi, Carsten Baum, Moustapha Cisse, Benny Pinkas, Joseph Keshet, Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring, working paper on arXiv, 2018.
4. Felix Kreuk, Assi Barak, Shir Aviv-Reuven, Moran Baruch, Benny Pinkas, Joseph Keshet, Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples, working paper on arXiv, 2018.
5. Felix Kreuk, Yossi Adi, Moustapha Cisse, Joseph Keshet, Fooling End-to-end Speaker Verification by Adversarial Examples, the 43rd IEEE International Conference in Acoustic, Speech and Signal Processing (ICASSP), Calgari, Canada, 2018.


• deep learning and structured prediction
• speech processing
• speech recognition
• acoustic phonetics
• pathological speech