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07/31/2023
DAVIS: High-Quality Audio-Visual Separation with Generative Diffusion Models
We propose DAVIS, a Diffusion model-based Audio-VIusal Separation framew...
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03/23/2023
Egocentric Audio-Visual Object Localization
Humans naturally perceive surrounding scenes by unifying sound and sight...
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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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02/04/2023
AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis
Human perception of the complex world relies on a comprehensive analysis...
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01/11/2023
Rethinking complex-valued deep neural networks for monaural speech enhancement
Despite multiple efforts made towards adopting complex-valued deep neura...
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11/20/2022
LA-VocE: Low-SNR Audio-visual Speech Enhancement using Neural Vocoders
Audio-visual speech enhancement aims to extract clean speech from a nois...
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11/16/2022
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement
Most speech enhancement (SE) models learn a point estimate, and do not m...
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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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06/24/2022
SAQAM: Spatial Audio Quality Assessment Metric
Audio quality assessment is critical for assessing the perceptual realis...
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06/24/2022
Speech Quality Assessment through MOS using Non-Matching References
Human judgments obtained through Mean Opinion Scores (MOS) are the most ...
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02/17/2022
Curriculum optimization for low-resource speech recognition
Modern end-to-end speech recognition models show astonishing results in ...
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02/17/2022
RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing
We present RemixIT, a simple yet effective self-supervised method for tr...
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12/08/2021
NICE-Beam: Neural Integrated Covariance Estimators for Time-Varying Beamformers
Estimating a time-varying spatial covariance matrix for a beamforming al...
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10/25/2021
Multichannel Speech Enhancement without Beamforming
Deep neural networks are often coupled with traditional spatial filters,...
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10/22/2021
TADRN: Triple-Attentive Dual-Recurrent Network for Ad-hoc Array Multichannel Speech Enhancement
Deep neural networks (DNNs) have been successfully used for multichannel...
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10/20/2021
TPARN: Triple-path Attentive Recurrent Network for Time-domain Multichannel Speech Enhancement
In this work, we propose a new model called triple-path attentive recurr...
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10/19/2021
Continual self-training with bootstrapped remixing for speech enhancement
We propose RemixIT, a simple and novel self-supervised training method f...
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10/14/2021
Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks
Representation learning from unlabeled data has been of major interest i...
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09/16/2021
NORESQA – A Framework for Speech Quality Assessment using Non-Matching References
The perceptual task of speech quality assessment (SQA) is a challenging ...
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09/11/2021
Incorporating Real-world Noisy Speech in Neural-network-based Speech Enhancement Systems
Supervised speech enhancement relies on parallel databases of degraded s...
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06/25/2021
Online Self-Attentive Gated RNNs for Real-Time Speaker Separation
Deep neural networks have recently shown great success in the task of bl...
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06/21/2021
Do sound event representations generalize to other audio tasks? A case study in audio transfer learning
Transfer learning is critical for efficient information transfer across ...
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05/29/2021
DPLM: A Deep Perceptual Spatial-Audio Localization Metric
Subjective evaluations are critical for assessing the perceptual realism...
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05/24/2021
Decentralized, Hybrid MAC Design with Reduced State Information Exchange for Low-Delay IoT Applications
We consider a system of several collocated nodes sharing a time slotted ...
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02/13/2021
Multi-Channel Speech Enhancement using Graph Neural Networks
Multi-channel speech enhancement aims to extract clean speech from a noi...
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02/06/2021
A bandit approach to curriculum generation for automatic speech recognition
The Automated Speech Recognition (ASR) task has been a challenging domai...
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12/05/2020
Implementing QZMAC (a Decentralized Delay Optimal MAC) over 6TiSCH under the Contiki OS in an IEEE 802.15.4 Network
Motivated by the emerging delay-sensitive applications of the Internet o...
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09/02/2020
SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation
Most existing deep learning based binaural speaker separation systems fo...
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06/30/2020
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition
An important problem in machine auditory perception is to recognize and ...
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05/29/2020
Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data
Recognizing sounds is a key aspect of computational audio scene analysis...
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02/19/2020
Throughput Optimal Decentralized Scheduling with Single-bit State Feedback for a Class of Queueing Systems
Motivated by medium access control for resource-challenged wireless Inte...
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10/25/2019
SeCoST: Sequential Co-Supervision for Weakly Labeled Audio Event Detection
Weakly supervised learning algorithms are critical for scaling audio eve...
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11/25/2018
Learning Sound Events From Webly Labeled Data
In the last couple of years, weakly labeled learning for sound events ha...
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04/24/2018
A Closer Look at Weak Label Learning for Audio Events
Audio content analysis in terms of sound events is an important research...
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01/17/2018
NELS - Never-Ending Learner of Sounds
Sounds are essential to how humans perceive and interact with the world ...
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11/04/2017
Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes
In this work we propose approaches to effectively transfer knowledge fro...
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11/02/2017
Framework for evaluation of sound event detection in web videos
The largest source of sound events is web videos. Most videos lack sound...
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10/30/2017
Content-based Representations of audio using Siamese neural networks
In this paper, we focus on the problem of content-based retrieval for au...
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07/09/2017
Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data
The development of audio event recognition models requires labeled train...
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11/12/2016
Audio Event and Scene Recognition: A Unified Approach using Strongly and Weakly Labeled Data
In this paper we propose a novel learning framework called Supervised an...
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09/23/2016
Discovering Sound Concepts and Acoustic Relations In Text
In this paper we describe approaches for discovering acoustic concepts a...
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07/22/2016
Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording
In this paper we present our work on Task 1 Acoustic Scene Classi- ficat...
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07/09/2016
Classifier Risk Estimation under Limited Labeling Resources
In this paper we propose strategies for estimating performance of a clas...
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02/06/2015
