A comparative study of the spectrogram, scalogram, melspectrogram and gammatonegram time-frequency representations for the classification of lung sounds using the ICBHI database based on CNNs
In lung sound classification using deep learning, many studies have considered the use of short-time Fourier transform (STFT) as the most commonly used 2D representation of the input data. Consequently, STFT has been widely used as an analytical tool, but other versions of the representation have al...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
De Gruyter
2022
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| Online Access: | http://eprints.utem.edu.my/id/eprint/26592/2/2022%20ZAKI%20BMT_COMPRESSED.PDF http://eprints.utem.edu.my/id/eprint/26592/ https://www.degruyter.com/document/doi/10.1515/bmt-2022-0180/html?lang=en |
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