Convolutional LSTM Network for Real-Time Impulsive Sound Detection and Classification in Urban Environments
Altayeva A. Omarov N. Tileubay S. Zhaksylyk A. Bazhikov K. Kambarov D.
2023Science and Information Organization
International Journal of Advanced Computer Science and Applications
2023#14Issue 11623 - 633 pp.
In recent years, the escalating challenges of noise pollution in urban environments have necessitated the development of more sophisticated sound detection and classification systems. This research introduces a novel approach employing a Convolutional Long Short-Term Memory (ConvLSTM) network tailored for real-time impulsive sound detection in metropolitan landscapes. Impulsive sounds, characterized by sudden onsets and short durations—such as honking, abrupt shouts, or breaking glass—are inherently sporadic but can significantly impact urban soundscapes and the well-being of city dwellers. Traditional sound detection mechanisms often falter in identifying these ephemeral noises amidst the cacophony of urban life. The ConvLSTM network proposed in this study amalgamates the spatial feature learning capabilities of Convolutional Neural Networks (CNN) with the temporal sequence retention attributes of LSTM, culminating in an architecture that excels in both sound detection and classification tasks. The model was trained and evaluated on a comprehensive dataset sourced from various urban settings and demonstrated commendable proficiency in discerning impulsive sounds with minimal false positives. Furthermore, the systems real-time processing capabilities ensure timely interventions, paving the way for smarter noise management in cities. This research not only propels the frontier of impulsive sound detection but also underscores the potential of ConvLSTM in addressing multifaceted urban challenges.
ANN , CNN , Deep learning , hybrid model , impulsive sound , LSTM
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Al-Farabi Kazakh National University, Almaty, Kazakhstan
Korkyt Ata Kyzylorda University, Almaty, Kazakhstan
Satbayev University, Almaty, Kazakhstan
Yessenov University, Aktau, Kazakhstan
Almaty University of Power Engineering and Telecommunications, Almaty, Kazakhstan
Al-Farabi Kazakh National University
Korkyt Ata Kyzylorda University
Satbayev University
Yessenov University
Almaty University of Power Engineering and Telecommunications
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