Speech emotion recognition using optimized genetic algorithm-extreme learning machine

MAA Albadr, S Tiun, M Ayob, FT AL-Dhief… - Multimedia Tools and …, 2022 - Springer
Abstract Automatic Emotion Speech Recognition (ESR) is considered as an active research
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …

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 …

Infant cry classification using CNN–RNN

TN Maghfira, T Basaruddin… - Journal of Physics …, 2020 - iopscience.iop.org
The study of infant cry recognition aims to identify what an infant needs through her cry.
Different crying sound can give a clue to caregivers about how to response to the infant's …

Mel-frequency cepstral coefficient features based on standard deviation and principal component analysis for language identification systems

MAA Albadr, S Tiun, M Ayob, M Mohammed… - Cognitive …, 2021 - Springer
Spoken language identification (LID) is the process of determining and classifying natural
language from a given content and dataset. Data must be processed to extract useful …

Proposed combination of PCA and MFCC feature extraction in speech recognition system

H Trang, TH Loc, HBH Nam - 2014 international conference on …, 2014 - ieeexplore.ieee.org
In speech recognition system, the Mel Frequency Cepstrum Coefficients (ie MFCC) feature
extraction is an important process. It has also been wildly used in many applications. In this …

Infant's cry sound classification using Mel-Frequency Cepstrum Coefficients feature extraction and Backpropagation Neural Network

YD Rosita, H Junaedi - 2016 2nd International Conference on …, 2016 - ieeexplore.ieee.org
Crying is a communication method used by infants given the limitations of language. Parents
or nannies who have never had the experience to take care of the baby will experience …

System propose for Be acquainted with newborn cry emotion using linear frequency cepstral coefficient

SS Jagtap, PK Kadbe, PN Arotale - … Conference on Electrical …, 2016 - ieeexplore.ieee.org
In this paper, we mainly paying attention on mechanization of Infant's Cry. For this
implementation we use LFCC for feature extraction and VQ codebook for toning samples …

Infant cry classification using semi-supervised k-nearest neighbor approach

AM Mahmoud, SM Swilem, AS Alqarni… - … on Developments in …, 2020 - ieeexplore.ieee.org
Infants cry for many different reasons. Understanding the infant's language is a critical
challenge that many parents suffer from, thus, it is hard to know precisely for what reason …

Identification of baby cry with discrete wavelet transform, mel frequency cepstral coefficient and principal component analysis

AL Prasasti, L Novamizanti… - Journal of Physics …, 2019 - iopscience.iop.org
A baby's cry is a sign of a baby that shows the feelings and desires of a baby. However,
many people misinterpret the baby's cry so that less precise handling happens often. Based …

The Study of Learning System for Infant Cry Classification Using Discrete Wavelet Transform and Extreme Machine Learning

A Chaiwachiragompol… - Ingenierie des Systemes …, 2022 - search.proquest.com
The learning system of infant cry is presented. This system consists of characteristics
attraction technique and classification technique. The characteristics attraction of infant cry …