Data augmentation and deep learning methods in sound classification: A systematic review

OO Abayomi-Alli, R Damaševičius, A Qazi… - Electronics, 2022 - mdpi.com
The aim of this systematic literature review (SLR) is to identify and critically evaluate current
research advancements with respect to small data and the use of data augmentation …

[HTML][HTML] Navigating the nexus of AI and IoT: A comprehensive review of data analytics and privacy paradigms

A Marengo - Internet of Things, 2024 - Elsevier
Abstract Integrating Artificial Intelligence (AI) with the Internet of Things (IoT) has propelled
technological innovation across various industries. This systematic literature review explores …

Comparison between Adam, AdaMax and Adam W optimizers to implement a Weather Forecast based on Neural Networks for the Andean city of Quito

R Llugsi, S El Yacoubi, A Fontaine… - 2021 IEEE Fifth …, 2021 - ieeexplore.ieee.org
The main function of an optimizer is to determine in what measure to change the weights
and the learning rate of the neural network to reduce losses. One of the best known …

ASRTest: automated testing for deep-neural-network-driven speech recognition systems

P Ji, Y Feng, J Liu, Z Zhao, Z Chen - Proceedings of the 31st ACM …, 2022 - dl.acm.org
With the rapid development of deep neural networks and end-to-end learning techniques,
automatic speech recognition (ASR) systems have been deployed into our daily and assist …

Deep investigation of the recent advances in dialectal arabic speech recognition

HA Alsayadi, AA Abdelhamid, I Hegazy, B Alotaibi… - IEEE …, 2022 - ieeexplore.ieee.org
Speech recognition systems play an important role in human–machine interactions. Many
systems exist for Arabic speech, however, there are limited systems for dialectal Arabic …

Field-applicable pig anomaly detection system using vocalization for embedded board implementations

M Hong, H Ahn, O Atif, J Lee, D Park, Y Chung - Applied Sciences, 2020 - mdpi.com
Failure to quickly and accurately detect abnormal situations, such as the occurrence of
infectious diseases, in pig farms can cause significant damage to the pig farms and the pig …

A review on lung disease recognition by acoustic signal analysis with deep learning networks

AH Sfayyih, N Sulaiman, AH Sabry - Journal of big Data, 2023 - Springer
Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …

Lung disease recognition methods using audio-based analysis with machine learning

AH Sabry, OID Bashi, NHN Ali, YM Al Kubaisi - Heliyon, 2024 - cell.com
The use of computer-based automated approaches and improvements in lung sound
recording techniques have made lung sound-based diagnostics even better and devoid of …

Non-diacritized Arabic speech recognition based on CNN-LSTM and attention-based models

HA Alsayadi, AA Abdelhamid… - Journal of Intelligent …, 2021 - content.iospress.com
Arabic language has a set of sound letters called diacritics, these diacritics play an essential
role in the meaning of words and their articulations. The change in some diacritics leads to a …

Investigation of DNN-HMM and lattice free maximum mutual information approaches for impaired speech recognition

S Chandrakala - IEEE Access, 2021 - ieeexplore.ieee.org
Assistive tools that recognize impaired speech due to neurological disorders are emerging
and its a fairly complex task. An Intelligent Impaired Speech Recognition system helps …