87 citations · 387 across the 34 of their papers we have counts for
8 papers · 1 filter
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness
Siddique Latif, Rajib Rana, Junaid Qadir
Deep learning has undoubtedly offered tremendous improvements in the performance of state-of-the-art speech emotion recognition (SER) systems. However, recent research on adversari…
Exploring Media Bias and Toxicity in South Asian Political Discourse
Adnan Qayyum, Zafar Gilani, Siddique Latif +1
Media outlets and political campaigners recognise social media as a means for widely disseminating news and opinions. In particular, Twitter is used by political groups all over th…
Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages
Siddique Latif, Adnan Qayyum, Muhammad Usman +1
Cross-lingual speech emotion recognition is an important task for practical applications. The performance of automatic speech emotion recognition systems degrades in cross-corpus s…
Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks
Siddique Latif, Muhammad Asim, Muhammad Usman +2
Multishot Magnetic Resonance Imaging (MRI) has recently gained popularity as it accelerates the MRI data acquisition process without compromising the quality of final MR image. How…
Using Deep Autoencoders for Facial Expression Recognition
Muhammad Usman, Siddique Latif, Junaid Qadir
Feature descriptors involved in image processing are generally manually chosen and high dimensional in nature. Selecting the most important features is a very crucial task for syst…
Soft Computing Techniques for Dependable Cyber-Physical Systems
Muhammad Atif, Siddique Latif, Rizwan Ahmad +5
Cyber-Physical Systems (CPS) allow us to manipulate objects in the physical world by providing a communication bridge between computation and actuation elements. In the current sch…
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection
Siddique Latif, Muhammad Usman, Rajib Rana +1
Cardiac auscultation involves expert interpretation of abnormalities in heart sounds using stethoscope. Deep learning based cardiac auscultation is of significant interest to the h…
Transfer Learning for Improving Speech Emotion Classification Accuracy
Siddique Latif, Rajib Rana, Shahzad Younis +2
The majority of existing speech emotion recognition research focuses on automatic emotion detection using training and testing data from same corpus collected under the same condit…