research
∙
06/22/2023
Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Review
Background: Natural Language Processing (NLP) is widely used to extract ...
share
research
∙
05/23/2023
Improving Speech Emotion Recognition Performance using Differentiable Architecture Search
Speech Emotion Recognition (SER) is a critical enabler of emotion-aware ...
research
∙
11/14/2022
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path
Automated emotion recognition (AER) technology can detect humans' emotio...
research
∙
10/06/2022
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
Retrieval Augment Generation (RAG) is a recent advancement in Open-Domai...
research
∙
08/11/2022
Speech Synthesis with Mixed Emotions
Emotional speech synthesis aims to synthesize human voices with various ...
research
∙
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...
research
∙
07/07/2022
Domain Adapting Speech Emotion Recognition modals to real-world scenario with Deep Reinforcement Learning
Deep reinforcement learning has been a popular training paradigm as deep...
research
∙
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...
research
∙
01/10/2022
Emotion Intensity and its Control for Emotional Voice Conversion
Emotional voice conversion (EVC) seeks to convert the emotional state of...
research
∙
01/04/2021
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
Reinforcement Learning (RL) is a semi-supervised learning paradigm which...
research
∙
06/01/2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder
Unsupervised disentangled representation learning from the unlabelled au...
research
∙
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 ...
research
∙
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 ...
research
∙
05/18/2020
Augmenting Generative Adversarial Networks for Speech Emotion Recognition
Generative adversarial networks (GANs) have shown potential in learning ...
research
∙
03/05/2020
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data
Recent improvements in Generative Adversarial Neural Networks (GANs) hav...
research
∙
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...
research
∙
10/24/2019
Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition
Deep reinforcement learning (deep RL) is a combination of deep learning ...
research
∙
07/13/2019
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion
Despite the widespread use of supervised deep learning methods for affec...
research
∙
04/18/2019
Disentangled Representation Learning with Information Maximizing Autoencoder
Learning disentangled representation from any unlabelled data is a non-t...
research
∙
04/08/2019
Direct Modelling of Speech Emotion from Raw Speech
Speech emotion recognition is a challenging task and heavily depends on ...
research
∙
02/22/2019
Automated Screening for Distress: A Perspective for the Future
Distress is a complex condition which affects a significant percentage o...
research
∙
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...
research
∙
11/24/2018
Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks
Multishot Magnetic Resonance Imaging (MRI) has recently gained popularit...
research
∙
01/19/2018
Cross Corpus Speech Emotion Classification- An Effective Transfer Learning Technique
Cross-corpus speech emotion recognition can be a useful transfer learnin...
research
∙
01/19/2018
Cross Corpus Speech Emotion Classificaiton - An Effective Transfer Learning Technique
Cross-corpus speech emotion recognition can be a useful transfer learnin...
research
∙
01/16/2018
Image denoising and restoration with CNN-LSTM Encoder Decoder with Direct Attention
Image denoising is always a challenging task in the field of computer vi...
research
∙
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 ...
research
∙
12/23/2017
