default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJoseph Keshet
Yossi Keshet
Person information
- affiliation: Israel Institute of Technology, Haifa, Israel
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j10]Yael Segal-Feldman
, Kasia Hitczenko, Matthew Goldrick, Adam Buchwald, Angela Roberts, Joseph Keshet:
Enhancing analysis of diadochokinetic speech using deep neural networks. Comput. Speech Lang. 90: 101715 (2025)- 2024
- [c52]Aviv Navon, Aviv Shamsian, Neta Glazer, Gill Hetz, Joseph Keshet:
Open-Vocabulary Keyword-Spotting with Adaptive Instance Normalization. ICASSP 2024: 11656-11660 - [c51]Roi Benita, Michael Elad, Joseph Keshet:
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation. ICLR 2024 - [i39]Aviv Shamsian, Aviv Navon, Neta Glazer, Gill Hetz, Joseph Keshet:
Keyword-Guided Adaptation of Automatic Speech Recognition. CoRR abs/2406.02649 (2024) - [i38]Yehoshua Dissen, Shiry Yonash, Israel Cohen, Joseph Keshet:
Enhanced ASR Robustness to Packet Loss with a Front-End Adaptation Network. CoRR abs/2406.18928 (2024) - [i37]Arnon Turetzky, Or Tal, Yael Segal-Feldman, Yehoshua Dissen, Ella Zeldes, Amit Roth, Eyal Cohen, Yosi Shrem, Bronya Roni Chernyak, Olga Seleznova, Joseph Keshet, Yossi Adi:
HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing. CoRR abs/2407.07566 (2024) - [i36]Gil Ayache, Menachem Pirchi, Aviv Navon, Aviv Shamsian, Gill Hetz, Joseph Keshet:
WhisperNER: Unified Open Named Entity and Speech Recognition. CoRR abs/2409.08107 (2024) - [i35]Yael Segal-Feldman, Aviv Shamsian, Aviv Navon, Gill Hetz, Joseph Keshet:
Whisper in Medusa's Ear: Multi-head Efficient Decoding for Transformer-based ASR. CoRR abs/2409.15869 (2024) - 2023
- [i34]Aviv Navon, Aviv Shamsian, Neta Glazer, Gill Hetz, Joseph Keshet:
Open-vocabulary Keyword-spotting with Adaptive Instance Normalization. CoRR abs/2309.08561 (2023) - [i33]Roi Benita, Michael Elad, Joseph Keshet:
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation. CoRR abs/2310.01381 (2023) - [i32]Daniel Eitan, Menachem Pirchi, Neta Glazer, Shai Meital, Gil Ayache, Gidon Krendel, Aviv Shamsian, Aviv Navon, Gill Hetz, Joseph Keshet:
Combining Language Models For Specialized Domains: A Colorful Approach. CoRR abs/2310.19708 (2023) - 2022
- [j9]Eyal Cohen, Felix Kreuk, Joseph Keshet:
Speech Time-Scale Modification With GANs. IEEE Signal Process. Lett. 29: 1067-1071 (2022) - [c50]Talia Ben Simon, Felix Kreuk, Faten Awwad, Jacob T. Cohen, Joseph Keshet:
Correcting Mispronunciations in Speech using Spectrogram Inpainting. INTERSPEECH 2022: 1208-1212 - [c49]Yosi Shrem, Felix Kreuk, Joseph Keshet:
Formant Estimation and Tracking using Probabilistic Heat-Maps. INTERSPEECH 2022: 3563-3567 - [c48]Bronya Roni Chernyak, Talia Ben Simon, Yael Segal, Jeremy Steffman, Eleanor Chodroff, Jennifer Cole, Joseph Keshet:
DeepFry: Identifying Vocal Fry Using Deep Neural Networks. INTERSPEECH 2022: 3578-3582 - [c47]Yehoshua Dissen, Felix Kreuk, Joseph Keshet:
Self-supervised Speaker Diarization. INTERSPEECH 2022: 4013-4017 - [c46]Yael Segal, Kasia Hitczenko, Matthew Goldrick, Adam Buchwald, Angela Roberts, Joseph Keshet:
DDKtor: Automatic Diadochokinetic Speech Analysis. INTERSPEECH 2022: 4611-4615 - [c45]Tzeviya Fuchs, Yedid Hoshen, Yossi Keshet:
Unsupervised Word Segmentation using K Nearest Neighbors. INTERSPEECH 2022: 4646-4650 - [c44]Gal-Lev Shalev, Gabi Shalev, Joseph Keshet:
A Baseline for Detecting Out-of-Distribution Examples in Image Captioning. ACM Multimedia 2022: 4175-4184 - [i31]Bronya Roni Chernyak, Talia Ben Simon, Yael Segal, Jeremy Steffman, Eleanor Chodroff, Jennifer S. Cole, Joseph Keshet:
DeepFry: Identifying Vocal Fry Using Deep Neural Networks. CoRR abs/2203.17019 (2022) - [i30]Talia Ben Simon, Felix Kreuk, Faten Awwad, Jacob T. Cohen, Joseph Keshet:
Correcting Misproducted Speech using Spectrogram Inpainting. CoRR abs/2204.03379 (2022) - [i29]Yehoshua Dissen, Felix Kreuk, Joseph Keshet:
Self-supervised Speaker Diarization. CoRR abs/2204.04166 (2022) - [i28]Tzeviya Sylvia Fuchs, Yedid Hoshen, Joseph Keshet:
Unsupervised Word Segmentation using K Nearest Neighbors. CoRR abs/2204.13094 (2022) - [i27]Tzeviya Sylvia Fuchs, Joseph Keshet:
THOR: Threshold-Based Ranking Loss for Ordinal Regression. CoRR abs/2205.04864 (2022) - [i26]Yosi Shrem, Felix Kreuk, Joseph Keshet:
Formant Estimation and Tracking using Probabilistic Heat-Maps. CoRR abs/2206.11632 (2022) - [i25]Yael Segal, Kasia Hitczenko, Matthew Goldrick, Adam Buchwald, Angela Roberts, Joseph Keshet:
DDKtor: Automatic Diadochokinetic Speech Analysis. CoRR abs/2206.14639 (2022) - [i24]Gabi Shalev, Gal-Lev Shalev, Joseph Keshet:
A Baseline for Detecting Out-of-Distribution Examples in Image Captioning. CoRR abs/2207.05418 (2022) - [i23]Or Alon-Ronen, Yosi Shrem, Yossi Keshet, Eva Gilboa-Schechtman:
The Vocal Signature of Social Anxiety: Exploration using Hypothesis-Testing and Machine-Learning Approaches. CoRR abs/2207.08534 (2022) - 2021
- [j8]Yael Segal, May Arama-Chayoth, Joseph Keshet:
Pitch Estimation by Multiple Octave Decoders. IEEE Signal Process. Lett. 28: 1610-1614 (2021) - [c43]Takuma Amada, Kazuya Kakizaki, Seng Pei Liew, Toshinori Araki, Joseph Keshet, Jun Furukawa:
Adversarial Robustness for Face Recognition: How to Introduce Ensemble Diversity among Feature Extractors? SafeAI@AAAI 2021 - [c42]Shahar Segal, Yossi Adi, Benny Pinkas, Carsten Baum, Chaya Ganesh, Joseph Keshet:
Fairness in the Eyes of the Data: Certifying Machine-Learning Models. AIES 2021: 926-935 - [c41]Tzeviya Sylvia Fuchs, Yael Segal, Joseph Keshet:
CNN-Based Spoken Term Detection and Localization without Dynamic Programming. ICASSP 2021: 6853-6857 - [i22]Tzeviya Sylvia Fuchs, Yael Segal, Joseph Keshet:
CNN-based Spoken Term Detection and Localization without Dynamic Programming. CoRR abs/2103.05468 (2021) - [i21]Bronya Roni Chernyak, Bhiksha Raj, Tamir Hazan, Joseph Keshet:
Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy. CoRR abs/2103.08265 (2021) - 2020
- [j7]Ariel Rosenfeld, Moshe Cohen, Sarit Kraus, Joseph Keshet:
Online prediction of time series with assumed behavior. Eng. Appl. Artif. Intell. 88 (2020) - [c40]Felix Kreuk, Yaniv Sheena, Joseph Keshet, Yossi Adi:
Phoneme Boundary Detection Using Learnable Segmental Features. ICASSP 2020: 8089-8093 - [c39]Felix Kreuk, Joseph Keshet, Yossi Adi:
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation. INTERSPEECH 2020: 3700-3704 - [c38]Felix Kreuk, Yossi Adi, Bhiksha Raj, Rita Singh, Joseph Keshet:
Hide and Speak: Towards Deep Neural Networks for Speech Steganography. INTERSPEECH 2020: 4656-4660 - [c37]Ben Goldberger, Guy Katz, Yossi Adi, Joseph Keshet:
Minimal Modifications of Deep Neural Networks using Verification. LPAR 2020: 260-278 - [i20]Felix Kreuk, Yaniv Sheena, Joseph Keshet, Yossi Adi:
Phoneme Boundary Detection using Learnable Segmental Features. CoRR abs/2002.04992 (2020) - [i19]Felix Kreuk, Joseph Keshet, Yossi Adi:
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation. CoRR abs/2007.13465 (2020) - [i18]Shahar Segal, Yossi Adi, Benny Pinkas, Carsten Baum, Chaya Ganesh, Joseph Keshet:
Fairness in the Eyes of the Data: Certifying Machine-Learning Models. CoRR abs/2009.01534 (2020) - [i17]Gabi Shalev, Gal-Lev Shalev, Joseph Keshet:
Redesigning the classification layer by randomizing the class representation vectors. CoRR abs/2011.08704 (2020)
2010 – 2019
- 2019
- [c36]Yosi Shrem, Matthew Goldrick, Joseph Keshet:
Dr.VOT: Measuring Positive and Negative Voice Onset Time in the Wild. INTERSPEECH 2019: 629-633 - [c35]Yael Segal, Tzeviya Sylvia Fuchs, Joseph Keshet:
SpeechYOLO: Detection and Localization of Speech Objects. INTERSPEECH 2019: 4210-4214 - [i16]Felix Kreuk, Yossi Adi, Bhiksha Raj, Rita Singh, Joseph Keshet:
Hide and Speak: Deep Neural Networks for Speech Steganography. CoRR abs/1902.03083 (2019) - [i15]Yael Segal, Tzeviya Sylvia Fuchs, Joseph Keshet:
SpeechYOLO: Detection and Localization of Speech Objects. CoRR abs/1904.07704 (2019) - [i14]Yosi Shrem, Matthew Goldrick, Joseph Keshet:
Dr.VOT : Measuring Positive and Negative Voice Onset Time in the Wild. CoRR abs/1910.13255 (2019) - 2018
- [c34]Felix Kreuk, Yossi Adi, Moustapha Cissé, Joseph Keshet:
Fooling End-To-End Speaker Verification With Adversarial Examples. ICASSP 2018: 1962-1966 - [c33]Gabi Shalev, Yossi Adi, Joseph Keshet:
Out-of-Distribution Detection using Multiple Semantic Label Representations. NeurIPS 2018: 7386-7396 - [c32]Yossi Adi, Carsten Baum, Moustapha Cissé, Benny Pinkas, Joseph Keshet:
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring. USENIX Security Symposium 2018: 1615-1631 - [i13]Felix Kreuk, Yossi Adi, Moustapha Cissé, Joseph Keshet:
Fooling End-to-end Speaker Verification by Adversarial Examples. CoRR abs/1801.03339 (2018) - [i12]Felix Kreuk, Assi Barak, Shir Aviv-Reuven, Moran Baruch, Benny Pinkas, Joseph Keshet:
Adversarial Examples on Discrete Sequences for Beating Whole-Binary Malware Detection. CoRR abs/1802.04528 (2018) - [i11]Yossi Adi, Carsten Baum, Moustapha Cissé, Benny Pinkas, Joseph Keshet:
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring. CoRR abs/1802.04633 (2018) - [i10]Gabi Shalev, Yossi Adi, Joseph Keshet:
Out-of-Distribution Detection using Multiple Semantic Label Representations. CoRR abs/1808.06664 (2018) - 2017
- [j6]Tzeviya Fuchs, Joseph Keshet:
Spoken Term Detection Automatically Adjusted for a Given Threshold. IEEE J. Sel. Top. Signal Process. 11(8): 1310-1317 (2017) - [c31]Yossi Adi, Joseph Keshet, Emily Cibelli, Matthew Goldrick:
Sequence segmentation using joint RNN and structured prediction models. ICASSP 2017: 2422-2426 - [c30]Yaniv Sheena, Mísa Hejná, Yossi Adi, Joseph Keshet:
Automatic Measurement of Pre-Aspiration. INTERSPEECH 2017: 1049-1053 - [c29]Einat Naaman, Yossi Adi, Joseph Keshet:
Learning Similarity Functions for Pronunciation Variations. INTERSPEECH 2017: 2561-2565 - [c28]Moustapha Cissé, Yossi Adi, Natalia Neverova, Joseph Keshet:
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples. NIPS 2017: 6977-6987 - [i9]Einat Naaman, Yossi Adi, Joseph Keshet:
Learning Similarity Function for Pronunciation Variations. CoRR abs/1703.09817 (2017) - [i8]Yaniv Sheena, Mísa Hejná, Yossi Adi, Joseph Keshet:
Automatic Measurement of Pre-aspiration. CoRR abs/1704.01653 (2017) - [i7]Moustapha Cissé, Yossi Adi, Natalia Neverova, Joseph Keshet:
Houdini: Fooling Deep Structured Prediction Models. CoRR abs/1707.05373 (2017) - 2016
- [j5]Yossi Adi, Joseph Keshet:
StructED: Risk Minimization in Structured Prediction. J. Mach. Learn. Res. 17: 64:1-64:5 (2016) - [c27]Ariel Rosenfeld, Joseph Keshet, Claudia V. Goldman, Sarit Kraus:
Online Prediction of Exponential Decay Time Series with Human-Agent Application. ECAI 2016: 595-603 - [c26]Rita Singh, Joseph Keshet, Deniz Gençaga, Bhiksha Raj:
The relationship of voice onset time and Voice Offset Time to physical age. ICASSP 2016: 5390-5394 - [c25]Yehoshua Dissen, Joseph Keshet:
Formant Estimation and Tracking Using Deep Learning. INTERSPEECH 2016: 958-962 - [c24]Yossi Adi, Joseph Keshet, Olga Dmitrieva, Matthew Goldrick:
Automatic Measurement of Voice Onset Time and Prevoicing Using Recurrent Neural Networks. INTERSPEECH 2016: 3152-3155 - [i6]Yossi Adi, Joseph Keshet, Emily Cibelli, Matthew Goldrick:
Sequence Segmentation Using Joint RNN and Structured Prediction Models. CoRR abs/1610.07918 (2016) - [i5]Yossi Adi, Joseph Keshet, Emily Cibelli, Erin Gustafson, Cynthia G. Clopper, Matthew Goldrick:
Automatic measurement of vowel duration via structured prediction. CoRR abs/1610.08166 (2016) - [i4]Yehoshua Dissen, Joseph Keshet, Jacob Goldberger, Cynthia G. Clopper:
Domain Adaptation For Formant Estimation Using Deep Learning. CoRR abs/1611.01783 (2016) - 2015
- [c23]Yossi Adi, Joseph Keshet, Matthew Goldrick:
Vowel duration measurement using deep neural networks. MLSP 2015: 1-6 - [i3]Danny Karmon, Joseph Keshet:
Risk Minimization in Structured Prediction using Orbit Loss. CoRR abs/1512.02033 (2015) - [i2]Joseph Keshet, Adam Kariv, Dvir Volk, Joey Simhon:
Context-Based Prediction of App Usage. CoRR abs/1512.07851 (2015) - 2013
- [c22]Rohit Prabhavalkar, Karen Livescu, Eric Fosler-Lussier, Joseph Keshet:
Discriminative articulatory models for spoken term detection in low-resource conversational settings. ICASSP 2013: 8287-8291 - [c21]Noam Peled, Moshe Bitan, Joseph Keshet, Sarit Kraus:
Predicting Human Strategic Decisions Using Facial Expressions. IJCAI 2013: 2035-2041 - [c20]Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi S. Jaakkola:
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions. NIPS 2013: 1887-1895 - 2012
- [c19]Hao Tang, Joseph Keshet, Karen Livescu:
Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach. ACL (1) 2012: 194-203 - [c18]Katharine Henry, Morgan Sonderegger, Joseph Keshet:
Automatic Measurement of Positive and Negative Voice Onset Time. INTERSPEECH 2012: 871-874 - [c17]Rohit Prabhavalkar, Joseph Keshet, Karen Livescu, Eric Fosler-Lussier:
Discriminative spoken term detection with limited data. MLSLP 2012: 22-25 - 2011
- [c16]Joseph Keshet, David A. McAllester, Tamir Hazan:
PAC-Bayesian approach for minimization of phoneme error rate. ICASSP 2011: 2224-2227 - [c15]Joseph Keshet, Chih-Chieh Cheng, Mark Stoehr, David A. McAllester:
Direct Error Rate Minimization of Hidden Markov Models. INTERSPEECH 2011: 449-452 - [c14]Andrew Cotter, Nathan Srebro, Joseph Keshet:
A GPU-tailored approach for training kernelized SVMs. KDD 2011: 805-813 - [c13]David A. McAllester, Joseph Keshet:
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss. NIPS 2011: 2205-2212 - [i1]Andrew Cotter, Joseph Keshet, Nathan Srebro:
Explicit Approximations of the Gaussian Kernel. CoRR abs/1109.4603 (2011) - 2010
- [c12]Morgan Sonderegger, Joseph Keshet:
Automatic discriminative measurement of voice onset time. INTERSPEECH 2010: 2242-2245 - [c11]David A. McAllester, Tamir Hazan, Joseph Keshet:
Direct Loss Minimization for Structured Prediction. NIPS 2010: 1594-1602
2000 – 2009
- 2009
- [j4]Francesco Orabona, Joseph Keshet, Barbara Caputo:
Bounded Kernel-Based Online Learning. J. Mach. Learn. Res. 10: 2643-2666 (2009) - [j3]Joseph Keshet, David Grangier, Samy Bengio:
Discriminative keyword spotting. Speech Commun. 51(4): 317-329 (2009) - [c10]Martin Wöllmer, Florian Eyben, Joseph Keshet, Alex Graves, Björn W. Schuller, Gerhard Rigoll:
Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks. ICASSP 2009: 3949-3952 - 2008
- [c9]Francesco Orabona, Joseph Keshet, Barbara Caputo:
The projectron: a bounded kernel-based Perceptron. ICML 2008: 720-727 - [c8]Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu:
Support Vector Machines with a Reject Option. NIPS 2008: 537-544 - 2007
- [b1]Joseph Keshet:
Large margin algorithms for discriminative continuous speech recognition (זיהוי דיבור רציף באמצעות אלגוריתמי שוליים רחבים.). Hebrew University of Jerusalem, Israel, 2007 - [j2]Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer, Dan Chazan:
A Large Margin Algorithm for Speech-to-Phoneme and Music-to-Score Alignment. IEEE Trans. Speech Audio Process. 15(8): 2373-2382 (2007) - 2006
- [j1]Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer:
Online Passive-Aggressive Algorithms. J. Mach. Learn. Res. 7: 551-585 (2006) - [c7]Joseph Keshet, Shai Shalev-Shwartz, Samy Bengio, Yoram Singer, Dan Chazan:
Discriminative kernel-based phoneme sequence recognition. INTERSPEECH 2006 - 2005
- [c6]Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer, Dan Chazan:
Phoneme alignment based on discriminative learning. INTERSPEECH 2005: 2961-2964 - 2004
- [c5]Ofer Dekel, Joseph Keshet, Yoram Singer:
Large margin hierarchical classification. ICML 2004 - [c4]Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer:
Learning to Align Polyphonic Music. ISMIR 2004 - [c3]Ofer Dekel, Joseph Keshet, Yoram Singer:
An Online Algorithm for Hierarchical Phoneme Classification. MLMI 2004: 146-158 - 2002
- [c2]Koby Crammer, Joseph Keshet, Yoram Singer:
Kernel Design Using Boosting. NIPS 2002: 537-544 - 2001
- [c1]Joseph Keshet, Dan Chazan, Ben-Zion Bobrovsky:
Plosive spotting with margin classifiers. INTERSPEECH 2001: 1637-1640
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-22 21:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
