[HTML][HTML] Arabic automatic speech recognition: a systematic literature review

A Dhouib, A Othman, O El Ghoul, MK Khribi… - Applied Sciences, 2022 - mdpi.com
Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer
speech recognition, has been an active field of research recently. This study aims to chart …

Land use and land cover (LULC) performance modeling using machine learning algorithms: a case study of the city of Melbourne, Australia

J Aryal, C Sitaula, AC Frery - Scientific reports, 2023 - nature.com
Accurate spatial information on Land use and land cover (LULC) plays a crucial role in city
planning. A widely used method of obtaining accurate LULC maps is a classification of the …

Exploring the role of machine learning in diagnosing and treating speech disorders: A systematic literature review

Z Brahmi, M Mahyoob, M Al-Sarem… - Psychology Research …, 2024 - Taylor & Francis
Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …

[HTML][HTML] Sentiment analysis and emotion recognition from speech using universal speech representations

BT Atmaja, A Sasou - Sensors, 2022 - mdpi.com
The study of understanding sentiment and emotion in speech is a challenging task in human
multimodal language. However, in certain cases, such as telephone calls, only audio data …

[HTML][HTML] A comparison of machine learning algorithms and feature sets for automatic vocal emotion recognition in speech

C Doğdu, T Kessler, D Schneider, M Shadaydeh… - Sensors, 2022 - mdpi.com
Vocal emotion recognition (VER) in natural speech, often referred to as speech emotion
recognition (SER), remains challenging for both humans and computers. Applied fields …

The use of deep learning-based intelligent music signal identification and generation technology in national music teaching

H Tang, Y Zhang, Q Zhang - Frontiers in psychology, 2022 - frontiersin.org
The research expects to explore the application of intelligent music recognition technology
in music teaching. Based on the Long Short-Term Memory network knowledge, an algorithm …

Practicing digital gastroenterology through phonoenterography leveraging artificial intelligence: future perspectives using microwave systems

R Redij, A Kaur, P Muddaloor, AK Sethi, K Aedma… - Sensors, 2023 - mdpi.com
Production of bowel sounds, established in the 1900s, has limited application in existing
patient-care regimes and diagnostic modalities. We review the physiology of bowel sound …

Ensemble approach on deep and handcrafted features for neonatal bowel sound detection

L Burne, C Sitaula, A Priyadarshi… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
For the care of neonatal infants, abdominal auscultation is considered a safe, convenient,
and inexpensive method to monitor bowel conditions. With the help of early automated …

A feature fusion model with data augmentation for speech emotion recognition

Z Tu, B Liu, W Zhao, R Yan, Y Zou - Applied Sciences, 2023 - mdpi.com
The Speech Emotion Recognition (SER) algorithm, which aims to analyze the expressed
emotion from a speech, has always been an important topic in speech acoustic tasks. In …

[HTML][HTML] Risevi: a disease risk prediction model based on vision transformer applied to nursing homes

F Zhou, S Hu, X Wan, Z Lu, J Wu - Electronics, 2023 - mdpi.com
The intensification of population aging has brought pressure on public medical care. In order
to reduce this pressure, we combined the image classification method with computer vision …