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09/13/2023
Can Whisper perform speech-based in-context learning
This paper investigates the in-context learning abilities of the Whisper...
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06/01/2023
How to Estimate Model Transferability of Pre-Trained Speech Models?
In this work, we introduce a “score-based assessment” framework for esti...
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06/01/2023
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models
We propose a multi-dimensional structured state space (S4) approach to s...
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05/19/2023
Differentially Private Adapters for Parameter Efficient Acoustic Modeling
In this work, we devise a parameter-efficient solution to bring differen...
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05/18/2023
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation
This paper presents a parameter-efficient learning (PEL) to develop a lo...
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05/18/2023
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model
In this work, we explore Parameter-Efficient-Learning (PEL) techniques t...
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01/19/2023
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition
In this work, we propose a new parameter-efficient learning framework ba...
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11/02/2022
Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming
Transfer learning (TL) approaches have shown promising results when hand...
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11/02/2022
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition
We propose a quantum kernel learning (QKL) framework to address the inhe...
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11/02/2022
Inference and Denoise: Causal Inference-based Neural Speech Enhancement
This study addresses the speech enhancement (SE) task within the causal ...
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11/02/2022
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise
Recently, quantum classifiers have been known to be vulnerable to advers...
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10/12/2022
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition
We propose an ensemble learning framework with Poisson sub-sampling to e...
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10/11/2022
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition
Differential privacy (DP) is one data protection avenue to safeguard use...
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06/08/2022
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression
The noisy intermediate-scale quantum (NISQ) devices enable the implement...
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03/29/2022
Treatment Learning Transformer for Noisy Image Classification
Current top-notch deep learning (DL) based vision models are primarily b...
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03/11/2022
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing
This work focuses on designing low complexity hybrid tensor networks by ...
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03/07/2022
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification
In this paper, we propose two techniques, namely joint modeling and data...
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02/17/2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
The rapid development of quantum computing has demonstrated many unique ...
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02/17/2022
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition
In this work, we aim to enhance the system robustness of end-to-end auto...
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02/17/2022
A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning
Audio-only-based wake word spotting (WWS) is challenging under noisy con...
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11/29/2021
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) has demonstrated great potentials in s...
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10/16/2021
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer
We propose a variational Bayesian (VB) approach to learning distribution...
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10/08/2021
A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming
In this study, we propose a novel adversarial reprogramming (AR) approac...
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10/06/2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
The advent of noisy intermediate-scale quantum (NISQ) computers raises a...
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07/03/2021
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification
We propose a novel neural model compression strategy combining data augm...
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06/17/2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Learning to classify time series with limited data is a practical yet ch...
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05/30/2021
Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning"
Automatically generating medical reports for retinal images is one of th...
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04/02/2021
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification
We propose using an adversarial autoencoder (AAE) to replace generative ...
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02/18/2021
Causal Inference Q-Network: Toward Resilient Reinforcement Learning
Deep reinforcement learning (DRL) has demonstrated impressive performanc...
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11/23/2020
Multi-task Language Modeling for Improving Speech Recognition of Rare Words
End-to-end automatic speech recognition (ASR) systems are increasingly p...
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11/03/2020
A Two-Stage Approach to Device-Robust Acoustic Scene Classification
To improve device robustness, a highly desirable key feature of a compet...
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11/01/2020
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
In this work, we propose an AI-based method that intends to improve the ...
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10/26/2020
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
We propose a novel decentralized feature extraction approach in federate...
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07/25/2020
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement
This paper investigates different trade-offs between the number of model...
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07/17/2020
Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining
Single image deraining is a crucial problem because rain severely degene...
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07/16/2020
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation
In this technical report, we present a joint effort of four groups, name...
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03/31/2020
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement
Recent studies have highlighted adversarial examples as ubiquitous threa...
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03/31/2020
Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing
Single image dehazing is the ill-posed two-dimensional signal reconstruc...
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02/20/2020
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning
Recent deep neural networks based techniques, especially those equipped ...
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02/03/2020
Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network
We propose a tensor-to-vector regression approach to multi-channel speec...
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02/03/2020
Evolving Neural Networks through a Reverse Encoding Tree
NeuroEvolution is one of the most competitive evolutionary learning fram...
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01/27/2020
Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition
Distributed automatic speech recognition (ASR) requires to aggregate out...
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08/13/2019
Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization
Applying Machine Learning (ML) techniques to design and optimize compute...
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02/11/2019
Synthesizing New Retinal Symptom Images by Multiple Generative Models
Age-Related Macular Degeneration (AMD) is an asymptomatic retinal diseas...
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02/09/2019
When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks
Discovering and exploiting the causality in deep neural networks (DNNs) ...
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02/09/2019
