activity
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 2017Show all

16 papers · 1 filter

cs.SD2017★ 13 cited

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…

cs.SD2017★ 5 cited

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…

cs.SD2017★ 29 cited

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)…

cs.SD2017

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…

cs.SD2017

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…

cs.SD2017

Speaker Identification in Shouted Talking Environments Based on Novel Third-Order Hidden Markov Models

Ismail Shahin

In this work we propose, implement, and evaluate novel models called Third-Order Hidden Markov Models (HMM3s) to enhance low performance of text-independent speaker identification…

cs.SD2017★ 18 cited

Employing Emotion Cues to Verify Speakers in Emotional Talking Environments

Ismail Shahin

Usually, people talk neutrally in environments where there are no abnormal talking conditions such as stress and emotion. Other emotional conditions that might affect people talkin…

cs.AI2017★ 3 cited

Speaker Identification in each of the Neutral and Shouted Talking Environments based on Gender-Dependent Approach Using SPHMMs

Ismail Shahin

It is well known that speaker identification performs extremely well in the neutral talking environments; however, the identification performance is declined sharply in the shouted…

cs.SD2017★ 30 cited

Employing both Gender and Emotion Cues to Enhance Speaker Identification Performance in Emotional Talking Environments

Ismail Shahin

Speaker recognition performance in emotional talking environments is not as high as it is in neutral talking environments. This work focuses on proposing, implementing, and evaluat…

cs.SD2017

Using Second-Order Hidden Markov Model to Improve Speaker Identification Recognition Performance under Neutral Condition

Ismail Shahin

In this paper, second-order hidden Markov model (HMM2) has been used and implemented to improve the recognition performance of text-dependent speaker identification systems under n…

cs.SD2017★ 7 cited

Speaker Identification Investigation and Analysis in Unbiased and Biased Emotional Talking Environments

Ismail Shahin

This work aims at investigating and analyzing speaker identification in each unbiased and biased emotional talking environments based on a classifier called Suprasegmental Hidden M…

cs.SD2017★ 9 cited

Speaking Style Authentication Using Suprasegmental Hidden Markov Models

Ismail Shahin

The importance of speaking style authentication from human speech is gaining an increasing attention and concern from the engineering community. The importance comes from the deman…

cs.SD2017★ 29 cited

Talking Condition Recognition in Stressful and Emotional Talking Environments Based on CSPHMM2s

Ismail Shahin, Mohammed Nasser Ba-Hutair

This work is aimed at exploiting Second-Order Circular Suprasegmental Hidden Markov Models (CSPHMM2s) as classifiers to enhance talking condition recognition in stressful and emoti…

cs.SD2017★ 21 cited

Employing Second-Order Circular Suprasegmental Hidden Markov Models to Enhance Speaker Identification Performance in Shouted Talking Environments

Ismail Shahin

Speaker identification performance is almost perfect in neutral talking environments; however, the performance is deteriorated significantly in shouted talking environments. This w…

cs.SD2017★ 27 cited

Enhancing speaker identification performance under the shouted talking condition using second-order circular hidden Markov models

Ismail Shahin

It is known that the performance of speaker identification systems is high under the neutral talking condition; however, the performance deteriorates under the shouted talking cond…

cs.SD2017★ 31 cited

Speaker Identification in the Shouted Environment Using Suprasegmental Hidden Markov Models

Ismail Shahin

In this paper, Suprasegmental Hidden Markov Models (SPHMMs) have been used to enhance the recognition performance of text-dependent speaker identification in the shouted environmen…