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[HTML][HTML] Arabic automatic speech recognition: a systematic literature review
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 …
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
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 …
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
Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …
operations and hindering effective communication. This study addresses the gap in …
[HTML][HTML] Sentiment analysis and emotion recognition from speech using universal speech representations
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 …
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
Vocal emotion recognition (VER) in natural speech, often referred to as speech emotion
recognition (SER), remains challenging for both humans and computers. Applied fields …
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 …
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 …
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 …
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 …
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
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 …
to reduce this pressure, we combined the image classification method with computer vision …