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 …
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
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 …
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
With an essential demand of human emotional behavior understanding and human machine
interaction for the recent electronic applications, speaker emotion recognition is a key …
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 …
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 …
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
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 …
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
Automatic gender classification system has prompted a pertinent of increasing amount of
applications, particularly the rise of social platforms and criminal investigation. Focus 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 …
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 …
babies. This research focuses on comparing the performance of a Convolutional Neural …
Arabic cultural style based music classification
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 …
analysis and music retrieval as well as for recommendation systems. Most of the prior …