Results 51 to 60 of about 113,849 (154)
CNN-LSTM for Heartbeat Sound Classification
Cardiovascular disorders are among the primary causes of death. Regularly monitoring the heart is of paramount importance in preventing fatalities arising from heart diseases.
Nurseno Bayu Aji +3 more
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Automatic adventitious respiratory sound analysis: A systematic review.
BackgroundAutomatic detection or classification of adventitious sounds is useful to assist physicians in diagnosing or monitoring diseases such as asthma, Chronic Obstructive Pulmonary Disease (COPD), and pneumonia.
Renard Xaviero Adhi Pramono +2 more
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The time-varying, space-varying, and frequency-varying characteristics of the marine environment severely affect the classification and recognition of underwater passive sonar targets.
Chunyu Kang +4 more
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In this study, we propose a dynamic template adaptation approach for noise-robust sound classification and distance estimation in single-channel audio environments.
Rezaul Tutul, André Jakob, Ilona Buchem
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Hierarchical Sound Event Classification [PDF]
Eric Nichols +2 more
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Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance
Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery.
Nur Fatinah Md Hafiz +4 more
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Research on heart sound segmentation algorithm based on adaptive threshold
Heart sound signal can reflect the activity of the human heart valve, and the heart sound classification can distinguish the pathological information of different heart sounds, which is of great significance for clinical diagnosis of different heart ...
ZENG Jin-Yun, HE Pei-Yu, PAN Fan
doaj
In the era of advanced artificial intelligence (AI) models, the intersection of music and pattern recognition has garnered significant interest. This study investigates the application of music-inspired features for the classification of instrument ...
Mengmeng Chen +6 more
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We posit a classification of sounds useful for studies of sound recognition and identification that accounts for both signal properties (source sound characteristics) and human perception (sound uses). This classification is split into four main branches: (1) systemic (speech and music) sounds, (2) environmental sounds, (3) warning sounds, and (4 ...
Gaillard, Pascal +3 more
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Urban sound encompasses various acoustic events, from critical safety-related sound to everyday environmental noise. In response to the need for comprehensive and scalable sound monitoring, this study introduces an integrated system combining the ...
Bo Peng +2 more
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