Results 1 to 10 of about 10,858,950 (355)
Bio-Acoustic Features of Depression: A Review
Biomedical Signal Processing and Control, 2023 Shaykhah A Almaghrabi +2 more
exaly +3 more sources
Frontiers in Aging Neuroscience, 2021 Background: Advances in machine learning (ML) technology have opened new avenues for detection and monitoring of cognitive decline. In this study, a multimodal approach to Alzheimer's dementia detection based on the patient's spontaneous speech is ...
Matej Martinc +3 more
doaj +2 more sources
Drones Detection Using a Fusion of RF and Acoustic Features and Deep Neural Networks
SensorsThe use of drones has recently gained popularity in a diverse range of applications, such as aerial photography, agriculture, search and rescue operations, the entertainment industry, and more.
Alan Frid +3 more
doaj +2 more sources
IEEE Journal on Selected Topics in Signal Processing, 2020 Speech analysis could provide an indicator of Alzheimer's disease and help develop clinical tools for automatically detecting and monitoring disease progression.
Saturnino Luz +2 more
exaly +2 more sources
Machine Learning-Based Screening for Obstructive Sleep Apnea Using Photographic Craniofacial and Speech-Derived Acoustic Features [PDF]
LifeObstructive sleep apnea (OSA) is a prevalent disorder for which accessible non-invasive screening approaches remain of interest. This study evaluated photographic craniofacial descriptors and speech-derived acoustic features for Apnea–Hypopnea Index (AHI)
Marissa López-Zaldivar +5 more
doaj +2 more sources
Frontiers in Psychology, 2021 New types of artificial intelligence products are gradually transferring to voice interaction modes with the demand for intelligent products expanding from communication to recognizing users' emotions and instantaneous feedback.
Kuo-Liang Huang, Sheng-Feng Duan, Xi Lyu
doaj +2 more sources
Acoustic Features of Sustained Phonation for Schizophrenia Classification: A Feasibility Study [PDF]
SensorsVoice and speech are increasingly studied as indicators of mental health, but the acoustic features of sustained phonation in schizophrenia remain underexplored.
Luka Jelić +3 more
doaj +2 more sources
Performance Analysis of Multiple Aggregated Acoustic Features for Environment Sound Classification
Applied Acoustics, 2020 Accuracy cognition in the complex and dynamic environment plays a pivotal part in artificial intelligence. Accurate classification of acoustic events is one of the foundations of environment acoustic awareness that has a strong correlation with the ...
Yu Su +4 more
exaly +2 more sources
A Machine Anomalous Sound Detection Method Using the lMS Spectrogram and ES-MobileNetV3 Network
Applied Sciences, 2023 Unsupervised anomalous sound detection by machines holds significant importance within the realm of industrial automation. Currently, the task of machine-based anomalous sound detection in complex industrial settings is faced with issues such as the ...
Mei Wang +7 more
doaj +1 more source
Frontiers in Psychiatry, 2023 Background Depression is a widespread mental disorder that affects a significant portion of the population. However, the assessment of depression is often subjective, relying on standard questions or interviews. Acoustic features have been suggested as a
Yang Wang +11 more
semanticscholar +1 more source