The characterization techniques used in this study are based on the cepstral analysis, which was extensively employed in the automatic speech recognition field.

Feb 20, 2024 · In this paper, we investigated and evaluated various machine learning-based approaches for automatically detecting wheezing sounds.

Feb 20, 2024 · In this paper, we investigated and evaluated various machine learning-based approaches for automatically detecting wheezing sounds.

Mar 1, 2024 · Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks · No full-text available.

Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks. https://doi.org/10.1016/j ...

Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks ,Science hub Mutual Aid community.

Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks. In this paper, we investigated and ...

In this paper, a classification method for respiratory sounds (RSs) in patients with asthma and in healthy subjects is presented. A wavelet transform is ...

Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks. Abdelkrim SemmadM. Bahoura.

Jun 12, 2023 · In their comparative study of the effectiveness of doctor auscultation and machine learning-based analysis based on neural networks, Grzywalski ...