Correcting Mispronunciations in Speech using Spectrogram Inpainting | 0 | 0.34 | 2022 |
Formant Estimation and Tracking using Probabilistic Heat-Maps | 0 | 0.34 | 2022 |
Self-supervised Speaker Diarization | 0 | 0.34 | 2022 |
Unsupervised Word Segmentation using K Nearest Neighbors | 0 | 0.34 | 2022 |
DDKtor: Automatic Diadochokinetic Speech Analysis | 0 | 0.34 | 2022 |
DeepFry: Identifying Vocal Fry Using Deep Neural Networks | 0 | 0.34 | 2022 |
Fairness in the Eyes of the Data: Certifying Machine-Learning Models | 0 | 0.34 | 2021 |
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation | 1 | 0.35 | 2020 |
Minimal Modifications of Deep Neural Networks using Verification. | 1 | 0.35 | 2020 |
Hide and Speak: Deep Neural Networks for Speech Steganography. | 0 | 0.34 | 2019 |
Out-of-Distribution Detection using Multiple Semantic Label Representations. | 4 | 0.39 | 2018 |
Adversarial Examples on Discrete Sequences for Beating Whole-Binary Malware Detection. | 0 | 0.34 | 2018 |
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples. | 9 | 0.46 | 2017 |
Spoken Term Detection Automatically Adjusted for a Given Threshold. | 1 | 0.35 | 2017 |
Houdini: Fooling Deep Structured Prediction Models. | 23 | 0.90 | 2017 |
Domain Adaptation For Formant Estimation Using Deep Learning. | 0 | 0.34 | 2016 |
Online Prediction of Exponential Decay Time Series with Human-Agent Application. | 1 | 0.35 | 2016 |
StructED: Risk Minimization in Structured Prediction. | 0 | 0.34 | 2016 |
Automatic measurement of vowel duration via structured prediction. | 2 | 0.72 | 2016 |
Risk Minimization in Structured Prediction using Orbit Loss | 1 | 0.34 | 2015 |
Context-Based Prediction of App Usage | 0 | 0.34 | 2015 |
Vowel duration measurement using deep neural networks | 1 | 0.44 | 2015 |
Predicting human strategic decisions using facial expressions | 4 | 0.45 | 2013 |
Discriminative articulatory models for spoken term detection in low-resource conversational settings | 11 | 0.63 | 2013 |
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions. | 6 | 0.46 | 2013 |
Discriminative pronunciation modeling: a large-margin, feature-rich approach | 5 | 0.47 | 2012 |
Discriminative spoken term detection with limited data. | 4 | 0.42 | 2012 |
Explicit Approximations of the Gaussian Kernel | 9 | 0.51 | 2011 |
Direct Error Rate Minimization Of Hidden Markov Models | 0 | 0.34 | 2011 |
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss. | 0 | 0.34 | 2011 |
A GPU-tailored approach for training kernelized SVMs | 27 | 1.16 | 2011 |
PAC-Bayesian approach for minimization of phoneme error rate | 16 | 0.83 | 2011 |
Direct Loss Minimization for Structured Prediction. | 32 | 1.92 | 2010 |
Bounded Kernel-Based Online Learning | 51 | 1.58 | 2009 |
Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks | 29 | 1.34 | 2009 |
Discriminative keyword spotting | 16 | 0.83 | 2009 |
Support Vector Machines with a Reject Option | 28 | 1.23 | 2008 |
The projectron: a bounded kernel-based Perceptron | 63 | 2.34 | 2008 |
A Large Margin Algorithm for Speech-to-Phoneme and Music-to-Score Alignment | 18 | 1.16 | 2007 |
Online Passive-Aggressive Algorithms | 367 | 27.02 | 2006 |
Phoneme alignment based on discriminative learning | 14 | 0.87 | 2005 |
Learning to Align Polyphonic Music | 11 | 2.33 | 2004 |
Large margin hierarchical classification | 78 | 5.15 | 2004 |
An online algorithm for hierarchical phoneme classification | 29 | 1.47 | 2004 |
Kernel Design Using Boosting | 58 | 7.70 | 2002 |
Plosive spotting with margin classifiers | 5 | 0.58 | 2001 |