128 citations · 480 across the 38 of their papers we have counts for
5 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…
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…
Image denoising and restoration with CNN-LSTM Encoder Decoder with Direct Attention
Kazi Nazmul Haque, Mohammad Abu Yousuf, Rajib Rana
Image denoising is always a challenging task in the field of computer vision and image processing. In this paper, we have proposed an encoder-decoder model with direct attention, w…
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…