Automatic Vehicle Detection from Aerial Images using Cascaded Support Vector Machine and Gaussian Mixture Model. - Shibani Hamsa; Alavikunhu Panthakkan; Saeed Al-Mansoori; Husain Alahamed (ICSPIS, 2018)

Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network. - Ismail Shahin; Ali Bou Nassif; Shibani Hamsa (IEEE Access, 2019)

Dominant Voiced Speech Segregation and Noise Reduction Pre-processing Module for Hearing Aids and Speech Processing Applications. - Shibani Hamsa; Youssef Iraqi; Ismail Shahin; Naoufel Werghi (SoCPaR, 2020)

Emotion Recognition From Speech Using Wavelet Packet Transform Cochlear Filter Bank and Random Forest Classifier. - Shibani Hamsa; Ismail Shahin; Youssef Iraqi; Naoufel Werghi (IEEE Access, 2020)

Novel cascaded Gaussian mixture model-deep neural network classifier for speaker identification in emotional talking environments. - Ismail Shahin; Ali Bou Nassif; Shibani Hamsa (Neural Comput. Appl., 2020)

An Enhanced Emotion Recognition Algorithm Using Pitch Correlogram, Deep Sparse Matrix Representation and Random Forest Classifier. - Shibani Hamsa; Youssef Iraqi; Ismail Shahin; Naoufel Werghi (IEEE Access, 2021)

CASA-based speaker identification using cascaded GMM-CNN classifier in noisy and emotional talking conditions. - Ali Bou Nassif; Ismail Shahin; Shibani Hamsa; Nawel Nemmour; Keikichi Hirose (Appl. Soft Comput., 2021)

Speaker Identification from emotional and noisy speech data using learned voice segregation and Speech VGG. - Shibani Hamsa; Ismail Shahin; Youssef Iraqi; Ernesto Damiani; Naoufel Werghi (CoRR, 2022)

Novel Task-Based Unification and Adaptation (TUA) Transfer Learning Approach for Bilingual Emotional Speech Data. - Ismail Shahin; Ali Bou Nassif; Rameena Thomas; Shibani Hamsa (Inf., 2023)

Speaker identification from emotional and noisy speech using learned voice segregation and speech VGG. - Shibani Hamsa; Ismail Shahin; Youssef Iraqi; Ernesto Damiani; Ali Bou Nassif; Naoufel Werghi (Expert Syst. Appl., 2023)