Smart City Gnosys

Smart city article details

Title	Deep Learning Based Detection And Delineation Sound In Smart City System
ID_Doc	17834
Authors	Sungeetha D.; Nanthini S.; Sivabalan R.; Soundari A.G.; Legapriyadharshini N.; Rajaram G.
Year	2024
Published	8th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2024 - Proceedings
DOI	http://dx.doi.org/10.1109/ICECA63461.2024.10801135
Abstract	For many years, sound delineation has been a prominent area of research. Human speech is the basis for sound categorization models and sophisticated sound recognition systems features related to hearing. There are limitless applications for those traits, such as context awareness, criminal detection, and surveillance systems. In classifying audio dataset, it is proven to be highly effective convolutional neural network among the types of deep learning model. In order to do this, it describes sound files using the spectral contrast, chromogram, tonal centroid, and mel spectrogram as their picture representations, and then use these representations to train the deep learning model. The final outcome, especially considering the dataset's characteristics and the fact that classifying ambient noises is considerably more difficult than classifying speech and music. The findings of the experiment likewise demonstrate a significant improvement in accuracy between the deep learning technique so that can be incorporated in surveillance system to delineation sound in crime environment in Smart City System. © 2024 IEEE.
Author Keywords	artificial neural network; audio detection; crime environment; machine learning

Similar Articles

Id	Similarity	Authors	Title	Published
52318	0.893	Nogueira A.F.R.; Oliveira H.S.; Machado J.J.M.; Tavares J.M.R.S.	Sound Classification And Processing Of Urban Environments: A Systematic Literature Review	Sensors, 22, 22 (2022)
59656	0.889	Hidayat A.; Njoo D.B.P.; Adrian G.D.; Setyoko D.E.; Wijanarko B.D.	Unlocking Soundscapes: Harnessing Machine Learning For Sound Classification	Proceeding of 2024 9th International Conference on Information Technology and Digital Applications, ICITDA 2024 (2024)
14305	0.888	Agarwal M.; Gill K.S.; Chattopadhyay S.; Singh M.	Classification Of Urban Sound Using Sequential Convolutional Neural Network (Cnn) Model And Its Visualisation	2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems, ICITEICS 2024 (2024)
60186	0.88	Agarwal M.; Gill K.S.; Aggarwal P.; Rawat R.S.; Sunil G.	Urban Sound Classification Using Vgg19 Convolutional Neural Network (Cnn) Model And Its Visualisation	4th International Conference on Innovative Practices in Technology and Management 2024, ICIPTM 2024 (2024)
60187	0.878	Lakshmi R.; Chaitra N.C.; Thejaswini R.; Swapna H.; Parameshachari B.D.; Kumar S.D.S.; Puttegowda K.	Urban Sound Classification With Convolutional Neural Network	2nd IEEE International Conference on Integrated Intelligence and Communication Systems, ICIICS 2024 (2024)
8076	0.876	Mukhamadiyev A.; Khujayarov I.; Nabieva D.; Cho J.	An Ensemble Of Convolutional Neural Networks For Sound Event Detection	Mathematics, 13, 9 (2025)
11080	0.871	Golovnin O.; Privalov A.; Stolbova A.; Ivaschenko A.	Audio-Based Vehicle Detection Implementing Artificial Intelligence	Studies in Systems, Decision and Control, 337 (2021)
17908	0.869	Ciaburro G.	Deep Learning Methods For Audio Events Detection	Studies in Big Data, 82 (2021)
33493	0.865	Özseven T.	Investigation Of The Effectiveness Of Time-Frequency Domain Images And Acoustic Features In Urban Sound Classification	Applied Acoustics, 211 (2023)
58701	0.863	Goulão M.; Bandeira L.; Martins B.; L. Oliveira A.	Training Environmental Sound Classification Models For Real-World Deployment In Edge Devices	Discover Applied Sciences, 6, 4 (2024)