Siddique Latif

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101 publications
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99 publications
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79 publications
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Junaid Qadir
65 publications
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59 publications
Björn Schuller
58 publications
Muhammad Usman
51 publications
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Jon Crowcroft
35 publications
Muhammad Bilal
31 publications

research

∙ 08/24/2023

Sparks of Large Audio Models: A Survey and Outlook

This survey paper provides a comprehensive overview of the recent advanc...

0 Siddique Latif, et al. ∙

research

∙ 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, ...

0 Siddique Latif, et al. ∙

research

∙ 06/23/2023

Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers

Despite the recent progress in speech emotion recognition (SER), state-o...

0 Syed Aun Muhammad Zaidi, et al. ∙

research

∙ 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...

0 Ibrahim Malik, et al. ∙

research

∙ 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...

0 Ibrahim Malik, et al. ∙

research

∙ 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...

0 Ahlam Husni Abu Nada, et al. ∙

research

∙ 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...

0 Muhammad Usman, et al. ∙

research

∙ 03/21/2023

Transformers in Speech Processing: A Survey

The remarkable success of transformers in the field of natural language ...

1 Siddique Latif, et al. ∙

research

∙ 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...

0 Abdullah Shahid, et al. ∙

research

∙ 11/14/2022

AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path

Automated emotion recognition (AER) technology can detect humans' emotio...

0 Siddique Latif, et al. ∙

research

∙ 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...

0 Muhammad Usman, et al. ∙

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...

0 Siddique Latif, et al. ∙

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...

0 Siddique Latif, et al. ∙

research

∙ 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...

0 Hafiz Shehbaz Ali, et al. ∙

research

∙ 01/01/2021

A Survey on Deep Reinforcement Learning for Audio-Based Applications

Deep reinforcement learning (DRL) is poised to revolutionise the field o...

0 Siddique Latif, et al. ∙

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 ...

0 Thejan Rajapakshe, et al. ∙

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 ...

0 Siddique Latif, et al. ∙

research

∙ 05/18/2020

Augmenting Generative Adversarial Networks for Speech Emotion Recognition

Generative adversarial networks (GANs) have shown potential in learning ...

0 Siddique Latif, et al. ∙

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...

1 Siddique Latif, et al. ∙

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 ...

0 Thejan Rajapakshe, et al. ∙

research

∙ 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...

1 Siddique Latif, et al. ∙

research

∙ 07/13/2019

Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion

Despite the widespread use of supervised deep learning methods for affec...

0 Rajib Rana, et al. ∙

research

∙ 04/18/2019

Disentangled Representation Learning with Information Maximizing Autoencoder

Learning disentangled representation from any unlabelled data is a non-t...

0 Kazi Nazmul Haque, et al. ∙

research

∙ 04/08/2019

Direct Modelling of Speech Emotion from Raw Speech

Speech emotion recognition is a challenging task and heavily depends on ...

0 Siddique Latif, et al. ∙

research

∙ 03/25/2019

Caveat emptor: the risks of using big data for human development

Big data revolution promises to be instrumental in facilitating sustaina...

1 Siddique Latif, et al. ∙

research

∙ 02/23/2019

Blockchain And The Future of the Internet:A Comprehensive Review

Blockchain is challenging the status quo of the central trust infrastruc...

1 Fakhar ul Hassan, et al. ∙

research

∙ 02/22/2019

Automated Screening for Distress: A Perspective for the Future

Distress is a complex condition which affects a significant percentage o...

0 Rajib Rana, et al. ∙

research

∙ 02/20/2019

Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding

Multishot Magnetic Resonance Imaging (MRI) is a promising imaging modali...

7 Muhammad Usman, et al. ∙

research

∙ 12/15/2018

Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages

Cross-lingual speech emotion recognition is an important task for practi...

1 Siddique Latif, et al. ∙

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...

1 Siddique Latif, et al. ∙

research

∙ 11/24/2018

Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks

Multishot Magnetic Resonance Imaging (MRI) has recently gained popularit...

1 Siddique Latif, et al. ∙

research

∙ 01/25/2018

Soft Computing Techniques for Dependable Cyber-Physical Systems

Cyber-Physical Systems (CPS) allow us to manipulate objects in the physi...

0 Muhammad Atif, et al. ∙

research

∙ 01/25/2018

Using Deep Autoencoders for Facial Expression Recognition

Feature descriptors involved in image processing are generally manually ...

0 Muhammad Usman, et al. ∙

research

∙ 01/25/2018

Abnormal Heartbeat Detection Using Recurrent Neural Networks

The observation and management of cardiac features (using automated card...

0 Siddique Latif, et al. ∙

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...

0 Siddique Latif, et al. ∙

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...

0 Siddique Latif, et al. ∙

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 ...

0 Siddique Latif, et al. ∙

research

∙ 12/23/2017

Variational Autoencoders for Learning Latent Representations of Speech Emotion

Latent representation of data in unsupervised fashion is a very interest...

0 Siddique Latif, et al. ∙

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