The study of baby crying analysis using MFCC and LFCC in different classification methods

SP Dewi, AL Prasasti, B Irawan - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Nowadays, there are so many researches about the baby crying detection for many
purposes. The right interpretation of the crying baby is notable for the medical objective so …

[HTML][HTML] A novel adaptive fractional deep belief networks for speaker emotion recognition

K Mannepalli, PN Sastry, M Suman - Alexandria Engineering Journal, 2017 - Elsevier
Due to the rapid development of human computer interaction systems, the recognition of
emotion becomes a challenging task. Various handheld devices such as smart phones and …

FDBN: Design and development of Fractional Deep Belief Networks for speaker emotion recognition

K Mannepalli, PN Sastry, M Suman - International Journal of Speech …, 2016 - Springer
With an essential demand of human emotional behavior understanding and human machine
interaction for the recent electronic applications, speaker emotion recognition is a key …

Automated evaluation of foreign language speaking performance with machine learning

RF Brena, E Zuvirie, A Preciado, A Valdiviezo… - International Journal on …, 2021 - Springer
In a globalized world, the need to speak foreign languages, particularly English, is
imperative. One challenge for learning foreign languages at the scale of millions is that …

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 …

Classification of male and female speech using perceptual features

S Sengupta, G Yasmin, A Ghosal - 2017 8th International …, 2017 - ieeexplore.ieee.org
Gender identification systems nowadays, are gaining momentum in terms of popularity
because of their wide areas of application. They can be used in a variety of fields ranging …

Gender recognition inclusive with transgender from speech classification

G Yasmin, O Mullick, A Ghosal, AK Das - Emerging Technologies in Data …, 2019 - Springer
Automatic gender classification system has prompted a pertinent of increasing amount of
applications, particularly the rise of social platforms and criminal investigation. Focus of …

[PDF][PDF] Optimized Deep Neural Networks Audio Tagging Framework for Virtual Business Assistant

FS El-metwally, AI Eldesouky, NB Abdel-Hamid… - Journal of Advances in …, 2023 - jait.us
A virtual assistant has a huge impact on business and an organizations development. It can
be used to manage customer relations and deal with received queries, automatically reply to …

A Novel Approach for Infant Cry Classification Using Transformer Models

SK Singh, BS Anand, A Bhatia… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
Infant crying noises analysis is essential for understanding and addressing the needs of
babies. This research focuses on comparing the performance of a Convolutional Neural …

Arabic cultural style based music classification

L Soboh, I Elkabani, Z Osman - 2017 International Conference …, 2017 - ieeexplore.ieee.org
Automatic music genre classification are essential for applications that provide music
analysis and music retrieval as well as for recommendation systems. Most of the prior …