Abstract
Sensors capable to detect specific audio events can be deployed inside smart cities, to improve citizens safety. A sensor cloud would allow to georeference relevant incidents, like screams, car crashes, or gunshots. An IoT based approach requires the development and deployment of smart nodes combining minimal power consumption and reasonable preprocessing capabilities, to minimize both power supply requirements and the amount of transmitted data. In this work, a possible system architecture is presented, and a detailed analysis of IA approaches to sound event detection is carried-out. Optimizations for IoT nodes deployments are then applied, and a performance comparison to current algorithms is presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M.: Internet of Things for smart cities. IEEE Internet Things J. 1(1), 22–32 (2014). https://doi.org/10.1109/JIOT.2014.2306328
Sethi, P., Sarangi, S.: Internet of Things: architectures, protocols, and applications. J. Electr. Comput. Eng. 2017, 1–25 (2017). https://doi.org/10.1155/2017/9324035
Vashi, S., Ram, J., Modi, J., Verma, S., Prakash, C.: Internet of Things (IoT): a vision, architectural elements, and security issues. In: 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), pp. 492–496 (2017). https://doi.org/10.1109/I-SMAC.2017.8058399
Cakir, E., Heittola, T., Huttunen, H., Virtanen, T.: Polyphonic sound event detection using multi label deep neural networks. In: 2015 International Joint Conference on Neural Networks (IJCNN), pp. 1–7 (2015). https://doi.org/10.1109/IJCNN.2015.7280624
Liu, M., Wan, C.: Feature selection for automatic classification of musical instrument sounds. In: Proceedings of the 1st ACM/IEEE-CS Joint Conference on Digital Libraries. JCDL ’01, pp. 247–248. Association for Computing Machinery, Roanoke (2001). ISBN 1581133456. https://doi.org/10.1145/379437.379663
Vij, D., Aggarwal, N., Raman, B., Ramakrishnan, K.K., Bansal, D.: Acoustic scene classification based on spectral analysis and feature-level channel combination. Rapp. tecn. DCASE2016 Challenge, September 2016
Foleiss, J.H., Tavares, T.F.: Mel-band features for DCASE 2016 acoustic scene classification task. In: DCASE, September 2016
Battaglino, D., Lepauloux, L., Evans, N.: Acoustic scene classification using convolutional neural networks. In: DCASE 2016, Workshop on Detection and Classification of Acoustic Scenes and Events, 3 September 2016, Budapest, Hungary (2016)
Valenti, M., Diment, A., Parascandolo, G., Squartini, S., Virtanen, T.: A convolutional neural network approach for acoustic scene classification. In: MAG (2017). https://doi.org/10.1109/IJCNN.2017.7966035
Mesaros, A., Heittola, T., Virtanen, T.: TUT database for acoustic scene classification and sound event detection. In: 2016 24th European Signal Processing Conference (EUSIPCO), pp. 1128–1132 (2016)
DCASE community web site. https://dcase.community
LTE Cellular to Cloud Pack with STM32L496AG MCU. STMicroelectronics. https://www.st.com/en/evaluation-tools/p-l496g-cell02.html#overview
Roch, M.R., Martina, M.: VirtLAB: a low-cost platform for electronics lab experiments. Sensors 22, 4840 (2022). https://doi.org/10.3390/s22134840
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Errico, D., Re, M., Colombo, V., Cardarilli, G.C., Martina, M., Roch, M.R. (2023). AI-Based Sound Event Detection on IoT Nodes: Requirements Evaluation. In: Berta, R., De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2022. Lecture Notes in Electrical Engineering, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-031-30333-3_18
Download citation
DOI: https://doi.org/10.1007/978-3-031-30333-3_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-30332-6
Online ISBN: 978-3-031-30333-3
eBook Packages: EngineeringEngineering (R0)