Joseph Keshet
Israeli computer scientist
Joseph Keshet's AcademicInfluence.com Rankings
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Computer Science
Joseph Keshet's Degrees
- Bachelors Computer Science Tel Aviv University
- Masters Computer Science Technion – Israel Institute of Technology
- PhD Computer Science Technion – Israel Institute of Technology
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Why Is Joseph Keshet Influential?
(Suggest an Edit or Addition)According to Wikipedia, Joseph Keshet is an Israeli professor in the Electrical and Computer Engineering Faculty of the Technion. Early life and education 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. 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 . Keshet was award his M.Sc. from the same department after he completed his Israel Defense Force service in 2002. His Dissertation was titled: Stop consonant spotting in continuous speech and was supervised by 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.
Joseph Keshet's Published Works
Published Works
- Online Passive-Aggressive Algorithms (2003) (1897)
- Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring (2018) (373)
- Large margin hierarchical classification (2004) (233)
- Houdini: Fooling Deep Structured Prediction Models (2017) (228)
- Support Vector Machines with a Reject Option (2008) (149)
- Fooling End-To-End Speaker Verification With Adversarial Examples (2018) (147)
- Direct Loss Minimization for Structured Prediction (2010) (142)
- Kernel Design Using Boosting (2002) (142)
- Discriminative keyword spotting (2009) (128)
- The projectron: a bounded kernel-based Perceptron (2008) (118)
- Bounded Kernel-Based Online Learning (2009) (109)
- Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods (2009) (91)
- Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples (2018) (78)
- Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks (2009) (69)
- Out-of-Distribution Detection using Multiple Semantic Label Representations (2018) (68)
- Generalization bounds and consistency for latent-structural probit and ramp loss (2011) (64)
- An Online Algorithm for Hierarchical Phoneme Classification (2004) (58)
- Explicit Approximations of the Gaussian Kernel (2011) (57)
- Adversarial Examples on Discrete Sequences for Beating Whole-Binary Malware Detection (2018) (55)
- Automatic Speech and Speaker Recognition (2009) (55)
- A GPU-tailored approach for training kernelized SVMs (2011) (55)
- Automatic measurement of voice onset time using discriminative structured prediction. (2012) (53)
- Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation (2020) (45)
- Minimal Modifications of Deep Neural Networks using Verification (2020) (42)
- PAC-Bayesian approach for minimization of phoneme error rate (2011) (42)
- A Large Margin Algorithm for Speech-to-Phoneme and Music-to-Score Alignment (2007) (41)
- Phoneme alignment based on discriminative learning (2005) (38)
- Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples (2017) (32)
- Learning to Align Polyphonic Music (2004) (29)
- Discriminative kernel-based phoneme sequence recognition (2006) (26)
- Plosive spotting with margin classifiers (2001) (25)
- Automatic analysis of slips of the tongue: Insights into the cognitive architecture of speech production (2016) (24)
- Formant estimation and tracking: A deep learning approach. (2019) (24)
- Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions (2013) (22)
- Fairness in the Eyes of the Data: Certifying Machine-Learning Models (2020) (21)
- Discriminative articulatory models for spoken term detection in low-resource conversational settings (2013) (18)
- Sequence segmentation using joint RNN and structured prediction models (2016) (17)
- The relationship of voice onset time and Voice Offset Time to physical age (2016) (15)
- Formant Estimation and Tracking Using Deep Learning (2016) (15)
- Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach (2012) (14)
- SpeechYOLO: Detection and Localization of Speech Objects (2019) (13)
- Online Prediction of Exponential Decay Time Series with Human-Agent Application (2016) (13)
- Automatic speech recognition: A primer for speech-language pathology researchers (2018) (13)
- Automatic discriminative measurement of voice onset time (2010) (13)
- Phoneme Boundary Detection Using Learnable Segmental Features (2020) (12)
- The Influence of Lexical Selection Disruptions on Articulation (2019) (12)
- Automatic Measurement of Voice Onset Time and Prevoicing Using Recurrent Neural Networks (2016) (12)
- Direct Error Rate Minimization of Hidden Markov Models (2011) (12)
- Automatic measurement of vowel duration via structured prediction (2016) (11)
- Hide and Speak: Towards Deep Neural Networks for Speech Steganography (2019) (11)
- Intrapersonal and interpersonal vocal affect dynamics during psychotherapy. (2021) (11)
- Predicting Human Strategic Decisions Using Facial Expressions (2013) (9)
- Vowel duration measurement using deep neural networks (2015) (9)
- Discriminative spoken term detection with limited data (2012) (9)
- Optical remote sensor for peanut kernel abortion classification. (2016) (8)
- Spoken Term Detection Automatically Adjusted for a Given Threshold (2017) (7)
- Hide and Speak: Deep Neural Networks for Speech Steganography (2019) (7)
- Dr.VOT : Measuring Positive and Negative Voice Onset Time in the Wild (2019) (6)
- Large margin algorithms for discriminative continuous speech recognition (זיהוי דיבור רציף באמצעות אלגוריתמי שוליים רחבים.) (2007) (5)
- Profiling hoax callers (2016) (5)
- StructED: Risk Minimization in Structured Prediction (2016) (5)
- Redesigning the classification layer by randomizing the class representation vectors (2020) (4)
- Automatic Measurement of Positive and Negative Voice Onset Time (2012) (4)
- Bounded kernel-based perceptrons (2009) (3)
- Learning Similarity Function for Pronunciation Variations (2017) (3)
- Adversarial Robustness for Face Recognition: How to Introduce Ensemble Diversity among Feature Extractors? (2021) (3)
- Risk Minimization in Structured Prediction using Orbit Loss (2015) (3)
- Learning Similarity Functions for Pronunciation Variations (2017) (3)
- Context-Based Prediction of App Usage (2015) (3)
- Unsupervised Word Segmentation using K Nearest Neighbors (2022) (3)
- Using automated acoustic analysis to explore the link between planning and articulation in second language speech production (2020) (3)
- Online prediction of time series with assumed behavior (2020) (3)
- A Baseline for Detecting Out-of-Distribution Examples in Image Captioning (2022) (2)
- 10 Perturbation Models and PAC-Bayesian Generalization Bounds (2016) (2)
- Pitch Estimation by Multiple Octave Decoders (2021) (2)
- Phoneme Alignment using Large Margin Techniques (2005) (2)
- AUTOMATIC TOOLS FOR ANALYZING SPOKEN HEBREW (2016) (2)
- On Randomized Classification Layers and Their Implications in Natural Language Generation (2021) (2)
- A Large Margin Algorithm for Forced Alignment (2009) (1)
- Speech Time-Scale Modification With GANs (2022) (1)
- A Proposal for a Kernel-based Algorithm for Large Vocabulary Continuous Speech Recognition (2009) (1)
- Self-supervised Speaker Diarization (2022) (1)
- Predicting glottal closure insufficiency using fundamental frequency contour analysis (2019) (1)
- Assessing automatic VOT annotation using unimpaired and impaired speech (2018) (1)
- CNN-Based Spoken Term Detection and Localization without Dynamic Programming (2021) (1)
- Automatic Measurement of Pre-Aspiration (2017) (1)
- Houdini: Democratizing Adversarial Examples (2017) (1)
- Theoretical Foundations for Large-Margin Kernel-Based Continuous Speech Recognition (2007) (1)
- Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy (2021) (1)
- Using automatic acoustic analysis to reveal disruptions to speech articulation in individuals at risk for psychosis (2023) (0)
- Domain Adaptation For Formant Estimation Using Deep Learning (2016) (0)
- Diadochokinetic speech in individuals at clinical high risk for schizophrenia (2020) (0)
- A UTOMATIC ANALYSIS OF MUSIC : P ERFORMANCE OF CANTILLATION SIGNS IN Y EMENITE J EWISH TRADITIONAL CANTILLATION (2014) (0)
- Correcting Mispronunciations in Speech using Spectrogram Inpainting (2022) (0)
- Correcting Misproducted Speech using Spectrogram Inpainting (2022) (0)
- A Kernel Wrapper for Phoneme Sequence Recognition (2009) (0)
- Review on OFS: Online Feature Selection based on Regression Analysis and Clustering Method along with its Application (2020) (0)
- Phonetics of Baus, Costa, and Carreiras (2013) (2019) (0)
- DOMIZING THE CLASS REPRESENTATION VECTORS (2021) (0)
- THOR: Threshold-Based Ranking Loss for Ordinal Regression (2022) (0)
- Introduction 1.1 the Traditional Approach to Speech Processing Automatic Speech and Speaker Recognition 1.2 Potential Problems of the Probabilistic Approach Automatic Speech and Speaker Recognition (2008) (0)
- Formant Estimation and Tracking using Probabilistic Heat-Maps (2022) (0)
- Discriminative learning with latent articulatory variables (2013) (0)
- SVM with a reject option (2007) (0)
- PROCÉDÉ ET SYSTÈME D'ANALYSE AUTOMATIQUE D'IMAGES D'ÉCHOCARDIOGRAPHIE DOPPLER (2017) (0)
- DDKtor: Automatic Diadochokinetic Speech Analysis (2022) (0)
- 11 Discriminative Keyword Spotting (2008) (0)
- The Traditional Approach to Speech Processing (2008) (0)
- DeepFry: Identifying Vocal Fry Using Deep Neural Networks (2022) (0)
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