Experiment results demonstrate that ensembling multiple frequency subbands helps to impove performance in cough detection. Compared with other methods, our ...
Experiment results demonstrate that ensembling multiple frequency subbands helps to impove performance in cough detection. Compared with other methods, our ...
Cough is a common symptom in respiratory diseases. Objectively evaluating the quantity and intensity of cough by pattern recognition technologies can ...
Cough detection is the basis of cough diagnosis and analysis. It aims at detecting cough events and their exact boundaries from an audio stream. From signal ...
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You et al. [15] used an ensemble of multiple frequency subband features. The classification was based on a linear support vector machine (SVM). Recall ...
This review discusses the principles of automatic cough detection and summarises key currently and recently used cough counting technology in clinical research.
Dec 6, 2024 · ... subband features and ensemble method combines ... ensembling multiple frequency subbands helps to impove performance in cough detection.
The cough detection model is a binary classifier of which the input is a two second acoustic feature and the output is one of two inferences (Cough or Others).
You et al., “Cough detection by ensembling multiple frequency subband features,” Biomedical Signal Processing and Control, vol. 33, pp. 132 – 140, 2017. [16] ...
Oct 22, 2024 · Cough detection by ensembling multiple frequency subband features ... multiple frequency subbands helps to impove performance in cough detection ...