A survey of CNN-based network intrusion detection

L Mohammadpour, TC Ling, CS Liew, A Aryanfar - Applied Sciences, 2022 - mdpi.com
Over the past few years, Internet applications have become more advanced and widely
used. This has increased the need for Internet networks to be secured. Intrusion detection …

A comprehensive survey on automatic speech recognition using neural networks

AS Dhanjal, W Singh - Multimedia Tools and Applications, 2024 - Springer
The continuous development in Automatic Speech Recognition has grown and
demonstrated its enormous potential in Human Interaction Communication systems. It is …

[PDF][PDF] Speech recognition utilizing deep learning: A systematic review of the latest developments

D Al-Fraihat, Y Sharrab, F Alzyoud… - Human-centric …, 2024 - researchgate.net
Speech recognition is a natural language processing task that involves the computerized
transcription of spoken language in real time. Numerous studies have been conducted on …

A systematic review of global research on natural user interface for smart home system

L Liao, Y Liang, H Li, Y Ye, G Wu - International Journal of Industrial …, 2023 - Elsevier
The smart home system (SHS) equipped with intelligent sensors and actuators aims at
providing seamless services for users. The natural user interface (NUI) enables intuitive …

Speech recognition using convolution deep neural networks

A Alsobhani, HMA ALabboodi… - Journal of Physics …, 2021 - iopscience.iop.org
The use of a speech recognition model has become extremely important. Speech control
has become an important type; Our project worked on designing a word-tracking model by …

[图书][B] Disaster risk reduction in agriculture

M Ahmed, S Ahmad - 2023 - Springer
The economic losses from natural disasters (eg drought, heavy rain, flood, heat waves)
mainly driven by climate change are increasing day by day. In 2022 alone, they caused …

English speech emotion recognition method based on speech recognition

M Liu - International Journal of Speech Technology, 2022 - Springer
Speech emotion reflects important information other than text content in speech signal, while
traditional speech recognition often ignores the emotion of text content, so it is difficult to …

Noise robust automatic speech recognition: review and analysis

M Dua, Akanksha, S Dua - International Journal of Speech Technology, 2023 - Springer
Abstract Automatic Speech Recognition (ASR) system is an emerging technology used in
various fields such as robotics, traffic controls, and healthcare, etc. The leading cause of …

Feature extraction and classification efficiency analysis using machine learning approach for speech signal

MK Singh - Multimedia Tools and Applications, 2024 - Springer
The problem of classification efficiency analysis in speech signals for speaker identification
using a machine learning approach has been a challenge for several years. The …

Voice recognition: A comprehensive survey

N Chandolikar, C Joshi, P Roy, A Gawas… - 2022 international …, 2022 - ieeexplore.ieee.org
Voice recognition have gained much more popularity in recent times; though it has existed
for more than a couple of decades, but it has regained popularity due to recent technological …