Tools and strategy for distance learning to respond COVID-19 pandemic in Indonesia

MNY Utomo, M Sudayanto… - Ingénierie des Systèmes d …, 2020 - papers.ssrn.com
Distance learning is a learning process that allows students and instructors are in different
physical locations. During the COVID-19 pandemic, various countries including Indonesia …

An art of speech recognition: a review

B Jolad, R Khanai - 2019 2nd International Conference on …, 2019 - ieeexplore.ieee.org
Speech recognition is conversion of human speech in to the text or control signal by the
means of intelligent algorithms. Speech recognition plays vital role in many biometric …

Impact of covid-19 on higher and post-secondary education systems

IA Shah, NZ Jhanjhi, M Humayun, U Ghosh - How COVID-19 is …, 2022 - Springer
Education has a critical role in societal progress. A strong educational system produces
good citizens. Countries that scrimp on education fall behind in the drive for progress. The …

[PDF][PDF] A Modified MFCC for Improved Wavelet-Based Denoising on Robust Speech Recognition.

R Hidayat, A Winursito - International Journal of Intelligent Engineering & …, 2021 - inass.org
Research on the current speech recognition system leads to the creation of a noise-resistant
system. The Mel Frequency Cepstral Coefficients (MFCC) extraction method becomes a …

The best features selection method and relevance variable for web phishing classification

S Adi, Y Pristyanto, A Sunyoto - 2019 International Conference …, 2019 - ieeexplore.ieee.org
The application of data mining using high dimensional dataset can cause problem in
accuracy and time consumption in the classification phase. One of the solutions is to reduce …

Implementasi algoritme random forest pada klasifikasi dataset credit approval

N Widjiyati - Jurnal Janitra Informatika dan Sistem Informasi, 2021 - janitra.org
Knowledge Discovery in Database (KDD) or better known as data mining is a problem
solving by analyzing the data presented in the database. Data mining can collaborate with …

Comparison of feature extraction for speaker identification system

Y Astuti, R Hidayat, A Bejo - 2020 3rd International Seminar on …, 2020 - ieeexplore.ieee.org
This paper compares the performance of speaker identification systems based on feature
extraction methods. Fast Fourier Transform (FFT), Mel-Frequency Cepstral Coefficient …

The effect of feature selection on classification algorithms in credit approval

Y Pristyanto, S Adi, A Sunyoto - 2019 International Conference …, 2019 - ieeexplore.ieee.org
Data mining applications usually use datasets with large dimensions. Unfortunately, the
large dimension in a dataset affects the processing time and outcome of the classification …

[PDF][PDF] Comparative study to realize an automatic speaker recognition system

F Abakarim, A Abenaou - International Journal of Electrical and …, 2022 - academia.edu
In this research, we present an automatic speaker recognition system based on adaptive
orthogonal transformations. To obtain the informative features with a minimum dimension …

Machine Learning based human recognition via robust Features from audio signals

U Sadique, MS Khan, S Anwar… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Biometric verification techniques are commissioned throughout the world in different
applications. Human voice recognition is one of the biometric techniques. This technique …