[HTML][HTML] Exploring explainable AI features in the vocal biomarkers of lung disease
Z Chen, N Liang, H Li, H Zhang, H Li, L Yan… - Computers in Biology …, 2024 - Elsevier
This review delves into the burgeoning field of explainable artificial intelligence (XAI) in the
detection and analysis of lung diseases through vocal biomarkers. Lung diseases, often …
detection and analysis of lung diseases through vocal biomarkers. Lung diseases, often …
[PDF][PDF] A Review on Identifying Lung Disease Sounds using different ML and DL Models
J Trivedi, S Degadwala - 2024 - researchgate.net
This comprehensive review explores the efficacy of various machine learning (ML) and deep
learning (DL) models in identifying lung disease sounds, addressing the complex diagnostic …
learning (DL) models in identifying lung disease sounds, addressing the complex diagnostic …
[PDF][PDF] Beyond the Spectrum: Custom MFCC Processing For Acoustic Health Monitoring
Z Liu - digital.wpi.edu
Abstract Mel-Frequency Cepstral Coefficients (MFCCs) are a critical feature in audio signal
processing and have wide applications in systems that require audio classification, including …
processing and have wide applications in systems that require audio classification, including …