75 citations · 523 across the 31 of their papers we have counts for
35 papers
Speaker Identification from emotional and noisy speech data using learned voice segregation and Speech VGG
Shibani Hamsa, Ismail Shahin, Youssef Iraqi +2
Speech signals are subjected to more acoustic interference and emotional factors than other signals. Noisy emotion-riddled speech data is a challenge for real-time speech processin…
Emotional Speaker Identification using a Novel Capsule Nets Model
Ali Bou Nassif, Ismail Shahin, Ashraf Elnagar +3
Speaker recognition systems are widely used in various applications to identify a person by their voice; however, the high degree of variability in speech signals makes this a chal…
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…
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…
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,…
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…
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…
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…
Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC
Mohamed Bader, Ismail Shahin, Abdelfatah Hassan
Recently there has been a formidable work which has been put up from the people who are working in the frontlines such as hospitals, clinics, and labs alongside researchers and sci…
Emotion Recognition Using Speaker Cues
Ismail Shahin
This research aims at identifying the unknown emotion using speaker cues. In this study, we identify the unknown emotion using a two-stage framework. The first stage focuses on ide…
Speaker Verification in Emotional Talking Environments based on Third-Order Circular Suprasegmental Hidden Markov Model
Ismail Shahin, Ali Bou Nassif
Speaker verification accuracy in emotional talking environments is not high as it is in neutral ones. This work aims at accepting or rejecting the claimed speaker using his/her voi…
Emirati-Accented Speaker Identification in Stressful Talking Conditions
Ismail Shahin, Ali Bou Nassif
This research is dedicated to improving text-independent Emirati-accented speaker identification performance in stressful talking conditions using three distinct classifiers: First…
Emotion Recognition based on Third-Order Circular Suprasegmental Hidden Markov Model
Ismail Shahin
This work focuses on recognizing the unknown emotion based on the Third-Order Circular Suprasegmental Hidden Markov Model (CSPHMM3) as a classifier. Our work has been tested on Emo…
Novel Cascaded Gaussian Mixture Model-Deep Neural Network Classifier for Speaker Identification in Emotional Talking Environments
Ismail Shahin, Ali Bou Nassif, Shibani Hamsa
This research is an effort to present an effective approach to enhance text-independent speaker identification performance in emotional talking environments based on novel classifi…
Three-Stage Speaker Verification Architecture in Emotional Talking Environments
Ismail Shahin, Ali Bou Nassif
Speaker verification performance in neutral talking environment is usually high, while it is sharply decreased in emotional talking environments. This performance degradation in em…
Emirati-Accented Speaker Identification in each of Neutral and Shouted Talking Environments
Ismail Shahin, Ali Bou Nassif, Mohammed Bahutair
This work is devoted to capturing Emirati-accented speech database (Arabic United Arab Emirates database) in each of neutral and shouted talking environments in order to study and…
Speaker Verification in Emotional Talking Environments based on Three-Stage Framework
Ismail Shahin
This work is dedicated to introducing, executing, and assessing a three-stage speaker verification framework to enhance the degraded speaker verification performance in emotional t…
Identifying Speakers Using Their Emotion Cues
Ismail Shahin
This paper addresses the formulation of a new speaker identification approach which employs knowledge of emotional content of speaker information. Our proposed approach in this wor…
Gender-dependent emotion recognition based on HMMs and SPHMMs
Ismail Shahin
It is well known that emotion recognition performance is not ideal. The work of this research is devoted to improving emotion recognition performance by employing a two-stage recog…
Speaker Identification in a Shouted Talking Environment Based on Novel Third-Order Circular Suprasegmental Hidden Markov Models
Ismail Shahin
It is well known that speaker identification yields very high performance in a neutral talking environment, on the other hand, the performance has been sharply declined in a shoute…
Emirati Speaker Verification Based on HMM1s, HMM2s, and HMM3s
Ismail Shahin
This work focuses on Emirati speaker verification systems in neutral talking environments based on each of First-Order Hidden Markov Models (HMM1s), Second-Order Hidden Markov Mode…
Studying and Enhancing Talking Condition Recognition in Stressful and Emotional Talking Environments Based on HMMs, CHMM2s and SPHMMs
Ismail Shahin
The work of this research is devoted to studying and enhancing talking condition recognition in stressful and emotional talking environments (completely two separate environments)…
Talking Condition Identification Using Second-Order Hidden Markov Models
Ismail Shahin
This work focuses on enhancing the performance of text-dependent and speaker-dependent talking condition identification systems using second-order hidden Markov models (HMM2s). Our…
Modeling and Analyzing the Vocal Tract under Normal and Stressful Talking Conditions
Ismail Shahin, Nazeih Botros
In this research, we model and analyze the vocal tract under normal and stressful talking conditions. This research answers the question of the degradation in the recognition perfo…