A hybrid CNN-LSTM model for environmental sound classification: Leveraging feature engineering and transfer learning

Environmental Sound Classification (ESC) remains a significant challenge due to the dynamic nature of audio data, scarcity of labeled datasets, and the complexity of feature extraction. Existing deep learning approaches, such as CNNs and RNNs, frequently struggle to manage diverse sound features, ac...

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Bibliographic Details

Published in:	Digital signal processing Vol. 163; p. 105234
Main Authors:	Akter, Rubaiya, Islam, Md. Rezwanul, Debnath, Sumon Kumar, Sarker, Prodip Kumar, Uddin, Md. Kamal
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.08.2025
Subjects:	Deep learning Environmental sound classification Evaluation metrics Hybrid model Mel-frequency cepstral coefficients Deep learning Mel-frequency cepstral coefficients Hybrid model Environmental sound classification Evaluation metrics
ISSN:	1051-2004
Online Access:	Get full text
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