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20172022
most citedCASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions

75 citations · 523 across the 31 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.SD2021★ 37 cited

Novel Hybrid DNN Approaches for Speaker Verification in Emotional and Stressful Talking Environments

Ismail Shahin, Ali Bou Nassif, Nawel Nemmour +3

In this work, we conducted an empirical comparative study of the performance of text-independent speaker verification in emotional and stressful environments. This work combined de…

cs.SD2021★ 53 cited

Novel Dual-Channel Long Short-Term Memory Compressed Capsule Networks for Emotion Recognition

Ismail Shahin, Noor Hindawi, Ali Bou Nassif +2

Recent analysis on speech emotion recognition has made considerable advances with the use of MFCCs spectrogram features and the implementation of neural network approaches such as…

cs.LG2021

COVID-19 Electrocardiograms Classification using CNN Models

Ismail Shahin, Ali Bou Nassif, Mohamed Bader Alsabek

With the periodic rise and fall of COVID-19 and numerous countries being affected by its ramifications, there has been a tremendous amount of work that has been done by scientists,…

cs.SD2021

The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices

Noor Ahmad Al Hindawi, Ismail Shahin, Ali Bou Nassif

Due to improvements in artificial intelligence, speaker identification (SI) technologies have brought a great direction and are now widely used in a variety of sectors. One of the…

cs.CY2021★ 4 cited

The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN

Ashraf Elnagar, Imad Afyouni, Ismail Shahin +2

There are several reasons why the fear of vaccination has caused population rejection. Questions have been raised by students regarding the effectiveness of vaccines, which in turn…

cs.SD2021★ 75 cited

CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions

Ali Bou Nassif, Ismail Shahin, Shibani Hamsa +2

This work aims at intensifying text-independent speaker identification performance in real application situations such as noisy and emotional talking conditions. This is achieved b…