Human-machine interaction personalization: a review on gender and emotion recognition through speech analysis

M La Mura, P Lamberti - … on Metrology for Industry 4.0 & IoT, 2020 - ieeexplore.ieee.org
The increasing spread of pervasive technology has led to the fast development of human-
centered connected systems, such as cloud-based voice services, assisted driving systems …

A comprehensive review on features extraction and features matching techniques for deception detection

SV Fernandes, MS Ullah - IEEE Access, 2022 - ieeexplore.ieee.org
Over a few decades, a remarkable amount of research has been conducted in the field of
speech signal processing particularly on deception detection for security applications. In this …

Arabic audio clips: Identification and discrimination of authentic cantillations from imitations

M Lataifeh, A Elnagar, I Shahin, AB Nassif - Neurocomputing, 2020 - Elsevier
This paper introduces a thorough study of classical and deep learning algorithms
implemented for multi-class speaker identification and verification of Qur'anic audio clips …

Gender recognition from human voice using multi-layer architecture

MA Uddin, MS Hossain, RK Pathan… - … on innovations in …, 2020 - ieeexplore.ieee.org
Nowadays the interaction between humans and machines is quite possible and friendly
because of the speech recognition system. The gender identification system has been used …

Gender and region detection from human voice using the three-layer feature extraction method with 1D CNN

MA Uddin, RK Pathan, MS Hossain… - Journal of Information …, 2022 - Taylor & Francis
Analysing the human voice has always been a challenge to the engineering society for
various purposes such as product review, emotional state detection, develo** AI, and …

Gender identification based on voice signal characteristics

S Chaudhary, DK Sharma - 2018 International conference on …, 2018 - ieeexplore.ieee.org
In the present scenario gender identification is based on voice signal of human being.
Several Automatic speech recognition systems uses gender identification and has proved to …

A machine learning approach for gender identification using statistical features of pitch in speeches

GU Shagi, S Aji - Applied Acoustics, 2022 - Elsevier
Speech processing and recognition are some of the imperative research areas, remarkably
in user authentication and entertainment. There are assorted well-known approaches in the …

Use of machine learning for deception detection from spectral and cepstral features of speech signals

SV Fernandes, MS Ullah - IEEE Access, 2021 - ieeexplore.ieee.org
In this research, four unique nonlinear speech features are extracted and analyzed to study
the dissimilarity pattern between when the speaker is being deceitful and truthful based on …

Predicting quranic audio clips reciters using classical machine learning algorithms: a comparative study

A Elnagar, M Lataifeh - Recent Advances in NLP: The Case of Arabic …, 2019 - Springer
This paper introduces a comparative analysis for a supervised classification system of
Quranic audio clips of several reciters. Other than identifying the reciter or the closest reciter …

Automatic classification of reciters of quranic audio clips

A Elnagar, R Ismail, B Alattas… - 2018 IEEE/ACS 15th …, 2018 - ieeexplore.ieee.org
This paper describes a supervised classification system of Quranic audio clips of several
reciters. The objective is to identify the reciter or the closest reciter to an input audio clip. It is …