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Joseph Keshet
Yossi Keshet
Person information
- affiliation: Israel Institute of Technology, Haifa, Israel
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
Online Prediction of Exponential Decay Time Series with Human-Agent Application. ECAI 2016: 595-603 - [c26]Rita Singh, Joseph Keshet
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
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
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
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
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
Discriminative keyword spotting. Speech Commun. 51(4): 317-329 (2009) - [c10]Martin Wöllmer, Florian Eyben, Joseph Keshet
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
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
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