Joseph Keshet
31 papers · 2006–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π Conference Polyglot (7)
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Interdisciplinary Bridge
π
Renaissance Researcher
(5)
π§
Keyword Pioneer
π¬
Deep Specialist
(10)
π
Keyword Champion
ποΈ
Keyword Collector
(54)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year
(5)
π
Century Club
(30)
π₯
Unstoppable
(7)
Conferences
INTERSPEECH (17)
NIPS (6)
JMLR (3)
AAAI (1)
ACL (1)
ICLR (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
automatic speech recognition
(6)
structured prediction
(5)
recurrent neural network
(4)
speech processing
(4)
binary classification
(3)
convolutional neural network
(3)
deep learning
(3)
speech analysis
(3)
kernel methods
(2)
online learning
(2)
formant estimation
(2)
voice onset time
(2)
deep neural network
(2)
self-supervised learning
(2)
keyword spotting
(2)
speech recognition
(2)
adversarial example
(2)
model robustness
(1)
probabilistic modeling
(1)
object detection
(1)
Papers
Beyond Transcription: Mechanistic Interpretability in ASR
AAAI 2026
Keyword-Guided Adaptation of Automatic Speech Recognition
INTERSPEECH 2024
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
ICLR 2024
Enhanced ASR Robustness to Packet Loss with a Front-End Adaptation Network
INTERSPEECH 2024
Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment
INTERSPEECH 2024
HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing
INTERSPEECH 2024
Formant Estimation and Tracking using Probabilistic Heat-Maps
INTERSPEECH 2022
Correcting Mispronunciations in Speech using Spectrogram Inpainting
INTERSPEECH 2022
DDKtor: Automatic Diadochokinetic Speech Analysis
INTERSPEECH 2022
Self-supervised Speaker Diarization
INTERSPEECH 2022
DeepFry: Identifying Vocal Fry Using Deep Neural Networks
INTERSPEECH 2022
On Randomized Classification Layers and Their Implications in Natural Language Generation
NAACL 2021
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation
INTERSPEECH 2020
Hide and Speak: Towards Deep Neural Networks for Speech Steganography
INTERSPEECH 2020
SpeechYOLO: Detection and Localization of Speech Objects
INTERSPEECH 2019
Dr.VOT: Measuring Positive and Negative Voice Onset Time in the Wild
INTERSPEECH 2019
Out-of-Distribution Detection using Multiple Semantic Label Representations
NIPS 2018
Learning Similarity Functions for Pronunciation Variations
INTERSPEECH 2017
Automatic Measurement of Pre-Aspiration
INTERSPEECH 2017
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples
NIPS 2017
Automatic Measurement of Voice Onset Time and Prevoicing Using Recurrent Neural Networks
INTERSPEECH 2016
Formant Estimation and Tracking Using Deep Learning
INTERSPEECH 2016
StructED: Risk Minimization in Structured Prediction
JMLR 2016
Predicting Human Strategic Decisions Using Facial Expressions
IJCAI 2013
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
NIPS 2013
Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach
ACL 2012
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
NIPS 2011
Direct Loss Minimization for Structured Prediction
NIPS 2010
Bounded Kernel-Based Online Learning
JMLR 2009
Support Vector Machines with a Reject Option
NIPS 2008
Online Passive-Aggressive Algorithms
JMLR 2006