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09/14/2023
Training Audio Captioning Models without Audio
Automated Audio Captioning (AAC) is the task of generating natural langu...
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08/07/2023
Fixed Inter-Neuron Covariability Induces Adversarial Robustness
The vulnerability to adversarial perturbations is a major flaw of Deep N...
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08/01/2023
Training on Foveated Images Improves Robustness to Adversarial Attacks
Deep neural networks (DNNs) have been shown to be vulnerable to adversar...
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07/17/2023
BASS: Block-wise Adaptation for Speech Summarization
End-to-end speech summarization has been shown to improve performance ov...
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06/16/2023
UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation
Multiple Object Tracking (MOT) aims to find bounding boxes and identitie...
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05/25/2023
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
Continual semantic segmentation aims to learn new classes while maintain...
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05/13/2023
GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content
This paper presents a novel approach for detecting ChatGPT-generated vs....
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04/04/2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
Although Domain Adaptation in Semantic Scene Segmentation has shown impr...
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02/20/2023
Synergy between human and machine approaches to sound/scene recognition and processing: An overview of ICASSP special session
Machine Listening, as usually formalized, attempts to perform a task tha...
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02/16/2023
PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement
Despite rapid advancement in recent years, current speech enhancement mo...
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02/16/2023
TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement
Speech enhancement models have greatly progressed in recent years, but s...
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01/26/2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
The critical challenge of Semi-Supervised Learning (SSL) is how to effec...
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01/02/2023
Understanding Political Polarisation using Language Models: A dataset and method
Our paper aims to analyze political polarization in US political system ...
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11/28/2022
VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
Video paragraph captioning aims to generate a multi-sentence description...
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11/20/2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Semi-supervised learning (SSL) has shown great promise in leveraging unl...
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11/14/2022
Describing emotions with acoustic property prompts for speech emotion recognition
Emotions lie on a broad continuum and treating emotions as a discrete nu...
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10/29/2022
XNOR-FORMER: Learning Accurate Approximations in Long Speech Transformers
Transformers are among the state of the art for many tasks in speech, vi...
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10/29/2022
Unifying the Discrete and Continuous Emotion labels for Speech Emotion Recognition
Traditionally, in paralinguistic analysis for emotion detection from spe...
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10/26/2022
There is more than one kind of robustness: Fooling Whisper with adversarial examples
Whisper is a recent Automatic Speech Recognition (ASR) model displaying ...
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10/26/2022
Privacy-preserving Automatic Speaker Diarization
Automatic Speaker Diarization (ASD) is an enabling technology with numer...
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10/05/2022
AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation
Temporal action proposal generation (TAPG) is a challenging task, which ...
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09/17/2022
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models
A targeted adversarial attack produces audio samples that can force an A...
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08/12/2022
USB: A Unified Semi-supervised Learning Benchmark
Semi-supervised learning (SSL) improves model generalization by leveragi...
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07/08/2022
Not all broken defenses are equal: The dead angles of adversarial accuracy
Robustness to adversarial attack is typically evaluated with adversarial...
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07/01/2022
Improving Speech Enhancement through Fine-Grained Speech Characteristics
While deep learning based speech enhancement systems have made rapid pro...
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06/25/2022
Self-supervision and Learnable STRFs for Age, Emotion, and Country Prediction
This work presents a multitask approach to the simultaneous estimation o...
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06/23/2022
Towards End-to-End Private Automatic Speaker Recognition
The development of privacy-preserving automatic speaker verification sys...
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05/15/2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Pseudo labeling and consistency regularization approaches with confidenc...
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03/29/2022
Recent improvements of ASR models in the face of adversarial attacks
Like many other tasks involving neural networks, Speech Recognition mode...
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03/20/2022
Point3D: tracking actions as moving points with 3D CNNs
Spatio-temporal action recognition has been a challenging task that invo...
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03/06/2022
HEAR 2021: Holistic Evaluation of Audio Representations
What audio embedding approach generalizes best to a wide range of downst...
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10/10/2021
Self-Supervised 3D Face Reconstruction via Conditional Estimation
We present a conditional estimation (CEST) framework to learn 3D facial ...
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09/12/2021
SphereFace Revived: Unifying Hyperspherical Face Recognition
This paper addresses the deep face recognition problem under an open-set...
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08/06/2021
The Right to Talk: An Audio-Visual Transformer Approach
Turn-taking has played an essential role in structuring the regulation o...
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08/03/2021
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
State-of-the-art deep face recognition methods are mostly trained with a...
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07/16/2021
Controlled AutoEncoders to Generate Faces from Voices
Multiple studies in the past have shown that there is a strong correlati...
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06/12/2021
Improving weakly supervised sound event detection with self-supervised auxiliary tasks
While multitask and transfer learning has shown to improve the performan...
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04/26/2021
Identifying Actions for Sound Event Classification
In Psychology, actions are paramount for humans to perceive and separate...
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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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11/17/2020
FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances
Speaker identification models are vulnerable to carefully designed adver...
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11/09/2020
Mask Proxy Loss for Text-Independent Speaker Recognition
Open-set speaker recognition can be regarded as a metric learning proble...
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08/17/2020
Multi-Task Learning for Interpretable Weakly Labelled Sound Event Detection
Weakly Labelled learning has garnered lot of attention in recent years d...
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05/28/2020
Exploiting Non-Linear Redundancy for Neural Model Compression
Deploying deep learning models, comprising of non-linear combination of ...
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05/23/2020
Exploring Optimal DNN Architecture for End-to-End Beamformers Based on Time-frequency References
Acoustic beamformers have been widely used to enhance audio signals. Cur...
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05/23/2020
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation
Although deep-learning-based methods have markedly improved the performa...
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05/23/2020
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks
Recently, deep neural networks (DNNs) have been successfully used for sp...
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11/13/2019
The phonetic bases of vocal expressed emotion: natural versus acted
Can vocal emotions be emulated? This question has been a recurrent conce...
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10/31/2019
W-Net BF: DNN-based Beamformer Using Joint Training Approach
Acoustic beamformers have been widely used to enhance audio signals. The...
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10/24/2019
Detecting gender differences in perception of emotion in crowdsourced data
Do men and women perceive emotions differently? Popular convictions plac...
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05/26/2019
