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09/13/2023
Open-vocabulary Keyword-spotting with Adaptive Instance Normalization
Open vocabulary keyword spotting is a crucial and challenging task in au...
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07/12/2022
A Baseline for Detecting Out-of-Distribution Examples in Image Captioning
Image captioning research achieved breakthroughs in recent years by deve...
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06/29/2022
DDKtor: Automatic Diadochokinetic Speech Analysis
Diadochokinetic speech tasks (DDK), in which participants repeatedly pro...
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06/23/2022
Formant Estimation and Tracking using Probabilistic Heat-Maps
Formants are the spectral maxima that result from acoustic resonances of...
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05/10/2022
THOR: Threshold-Based Ranking Loss for Ordinal Regression
In this work, we present a regression-based ordinal regression algorithm...
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04/27/2022
Unsupervised Word Segmentation using K Nearest Neighbors
In this paper, we propose an unsupervised kNN-based approach for word se...
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04/08/2022
Self-supervised Speaker Diarization
Over the last few years, deep learning has grown in popularity for speak...
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04/07/2022
Correcting Misproducted Speech using Spectrogram Inpainting
Learning a new language involves constantly comparing speech productions...
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03/31/2022
DeepFry: Identifying Vocal Fry Using Deep Neural Networks
Vocal fry or creaky voice refers to a voice quality characterized by irr...
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03/15/2021
Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy
This paper proposes an attack-independent (non-adversarial training) tec...
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03/07/2021
CNN-based Spoken Term Detection and Localization without Dynamic Programming
In this paper, we propose a spoken term detection algorithm for simultan...
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11/16/2020
Redesigning the classification layer by randomizing the class representation vectors
Neural image classification models typically consist of two components. ...
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09/03/2020
Fairness in the Eyes of the Data: Certifying Machine-Learning Models
We present a framework that allows to certify the fairness degree of a m...
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07/27/2020
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation
We propose a self-supervised representation learning model for the task ...
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02/11/2020
Phoneme Boundary Detection using Learnable Segmental Features
Phoneme boundary detection plays an essential first step for a variety o...
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10/27/2019
Dr.VOT : Measuring Positive and Negative Voice Onset Time in the Wild
Voice Onset Time (VOT), a key measurement of speech for basic research a...
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04/14/2019
SpeechYOLO: Detection and Localization of Speech Objects
In this paper, we propose to apply object detection methods from the vis...
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02/07/2019
Hide and Speak: Deep Neural Networks for Speech Steganography
Steganography is the science of hiding a secret message within an ordina...
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08/20/2018
Out-of-Distribution Detection using Multiple Semantic Label Representations
Deep Neural Networks are powerful models that attained remarkable result...
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02/13/2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Deep Neural Networks have recently gained lots of success after enabling...
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02/13/2018
Adversarial Examples on Discrete Sequences for Beating Whole-Binary Malware Detection
In recent years, deep learning has shown performance breakthroughs in ma...
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01/10/2018
Fooling End-to-end Speaker Verification by Adversarial Examples
Automatic speaker verification systems are increasingly used as the prim...
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07/17/2017
Houdini: Fooling Deep Structured Prediction Models
Generating adversarial examples is a critical step for evaluating and im...
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04/05/2017
Automatic Measurement of Pre-aspiration
Pre-aspiration is defined as the period of glottal friction occurring in...
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03/28/2017
Learning Similarity Functions for Pronunciation Variations
A significant source of errors in Automatic Speech Recognition (ASR) sys...
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11/06/2016
Domain Adaptation For Formant Estimation Using Deep Learning
In this paper we present a domain adaptation technique for formant estim...
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10/26/2016
Automatic measurement of vowel duration via structured prediction
A key barrier to making phonetic studies scalable and replicable is the ...
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10/25/2016
Sequence Segmentation Using Joint RNN and Structured Prediction Models
We describe and analyze a simple and effective algorithm for sequence se...
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09/21/2011