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08/24/2023
Sparks of Large Audio Models: A Survey and Outlook
This survey paper provides a comprehensive overview of the recent advanc...
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07/12/2023
Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers
Despite recent advancements in speech emotion recognition (SER) models, ...
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06/23/2023
Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers
Despite the recent progress in speech emotion recognition (SER), state-o...
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05/19/2023
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model
In this paper, we propose to utilise diffusion models for data augmentat...
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05/01/2023
Emotions Beyond Words: Non-Speech Audio Emotion Recognition With Edge Computing
Non-speech emotion recognition has a wide range of applications includin...
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04/22/2023
Lightweight Toxicity Detection in Spoken Language: A Transformer-based Approach for Edge Devices
Toxicity is a prevalent social behavior that involves the use of hate sp...
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04/04/2023
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan
Accurate lung nodule segmentation is crucial for early-stage lung cancer...
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03/21/2023
Transformers in Speech Processing: A Survey
The remarkable success of transformers in the field of natural language ...
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01/10/2023
Generative Emotional AI for Speech Emotion Recognition: The Case for Synthetic Emotional Speech Augmentation
Despite advances in deep learning, current state-of-the-art speech emoti...
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11/14/2022
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path
Automated emotion recognition (AER) technology can detect humans' emotio...
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10/30/2022
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection
In this study, we propose a lung nodule detection scheme which fully inc...
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07/12/2022
Multitask Learning from Augmented Auxiliary Data for Improving Speech Emotion Recognition
Despite the recent progress in speech emotion recognition (SER), state-o...
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04/19/2022
Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition
Despite the recent advancement in speech emotion recognition (SER) withi...
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03/31/2021
Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing
Speech emotion sensing in communication networks has a wide range of app...
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01/01/2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
Deep reinforcement learning (DRL) is poised to revolutionise the field o...
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05/21/2020
Deep Reinforcement Learning with Pre-training for Time-efficient Training of Automatic Speech Recognition
Deep reinforcement learning (deep RL) is a combination of deep learning ...
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05/18/2020
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition
Speech emotion recognition systems (SER) can achieve high accuracy when ...
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05/18/2020
Augmenting Generative Adversarial Networks for Speech Emotion Recognition
Generative adversarial networks (GANs) have shown potential in learning ...
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01/02/2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
Research on speech processing has traditionally considered the task of d...
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10/24/2019
Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition
Deep reinforcement learning (deep RL) is a combination of deep learning ...
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07/13/2019
Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition
Cross-lingual speech emotion recognition (SER) is a crucial task for man...
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07/13/2019
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion
Despite the widespread use of supervised deep learning methods for affec...
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04/18/2019
Disentangled Representation Learning with Information Maximizing Autoencoder
Learning disentangled representation from any unlabelled data is a non-t...
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04/08/2019
Direct Modelling of Speech Emotion from Raw Speech
Speech emotion recognition is a challenging task and heavily depends on ...
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03/25/2019
Caveat emptor: the risks of using big data for human development
Big data revolution promises to be instrumental in facilitating sustaina...
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02/23/2019
Blockchain And The Future of the Internet:A Comprehensive Review
Blockchain is challenging the status quo of the central trust infrastruc...
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02/22/2019
Automated Screening for Distress: A Perspective for the Future
Distress is a complex condition which affects a significant percentage o...
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02/20/2019
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
Multishot Magnetic Resonance Imaging (MRI) is a promising imaging modali...
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12/15/2018
Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages
Cross-lingual speech emotion recognition is an important task for practi...
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11/28/2018
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness
Deep learning has undoubtedly offered tremendous improvements in the per...
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11/24/2018
Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks
Multishot Magnetic Resonance Imaging (MRI) has recently gained popularit...
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01/25/2018
Soft Computing Techniques for Dependable Cyber-Physical Systems
Cyber-Physical Systems (CPS) allow us to manipulate objects in the physi...
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01/25/2018
Using Deep Autoencoders for Facial Expression Recognition
Feature descriptors involved in image processing are generally manually ...
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01/25/2018
Abnormal Heartbeat Detection Using Recurrent Neural Networks
The observation and management of cardiac features (using automated card...
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01/19/2018
Cross Corpus Speech Emotion Classification- An Effective Transfer Learning Technique
Cross-corpus speech emotion recognition can be a useful transfer learnin...
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01/19/2018
Cross Corpus Speech Emotion Classificaiton - An Effective Transfer Learning Technique
Cross-corpus speech emotion recognition can be a useful transfer learnin...
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12/23/2017
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study
Learning the latent representation of data in unsupervised fashion is a ...
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12/23/2017
