Analysis of portable system for sound acquisition of vehicles powered by internal combustion engines-Reference-Cited by-同舟云学术

Analysis of portable system for sound acquisition of vehicles powered by internal combustion engines

Published:2023 Issue:2 Volume:36 Page:299-314
ISSN:0353-3670
Container-title:Facta universitatis - series: Electronics and Energetics
language:en
Short-container-title:Facta Univ Electron Energ

Author:

Milivojcevic Marko¹,Kisic Emilija²^ORCID,Ciric Dejan³^ORCID

Affiliation:

1. Academy of Technical and Art Applied Studies, School of Electrical and Computer Engineering, Belgrade, Serbia

2. Metropolitan University, Faculty of Information Technology, Belgrade, Serbia

3. University of Niš, Faculty of Electronic Engineering in Niš, Niš, Serbia

Abstract

In this paper a portable system for acquisition of sound generated by passenger vehicles powered by internal combustion engines is described and analyzed. The acquisition system is developed from scratch and tested in order to satisfy the requirements such as high-quality of audio recordings, high mobility, robustness and privacy respect. With this acquisition system and adequate signal processing, the main goal was to collect a large amount of clear audio recordings that will form a quality dataset. In further research, this dataset will be used for machine learning model training and testing, i.e. for developing a system for automatic recognition of the type of car engine based on fuel.

Funder

Ministry of Education, Science and Technological Development of the Republic of Serbia

Publisher

National Library of Serbia

Reference22 articles.

1. S. Das, A. Dey, A. Pal and N. Roy, "Applications of Artificial Intelligence in Machine Learning: Review and Prospect", Int. J. Comput. Appl., vol. 115, no. 9, pp. 31-41, April 2015.

2. P. Dhanalakshmi, S. Palanivel and V. Ramalingam, "Classification of Audio Signals Using SVM and RBFNN", Expert Syst. Appl., vol. 36, no. 3, part 2, pp. 6069-6075, 2009.

3. P. Dhanalakshmi, S. Palanivel and V. Ramalingam, "Classification of Audio Signals Using AANN and GMM", Appl. Soft. Comput., vol. 11, no. 1, pp. 716-723, 2011.

4. H. Ponce, P. Ponce and A. Molina, "Adaptive Noise Filtering Based on Artificial Hydrocarbon Networks: An Application to Audio Signals", Expert Syst. Appl., vol. 41, no. 14, pp. 6512-6523, 2014.

5. Z. Liu, J. Huang, Y. Wang and T. Chen, "Audio feature extraction and analysis for scene classification", In Proceedings of First Signal Processing Society Workshop on Multimedia Signal Processing, Princeton, NJ, USA, 23-25 June 1997, pp. 343-348.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design and testing of low-cost portable magnetometer for consumer applications;2024 Zooming Innovation in Consumer Technologies Conference (ZINC);2024-05-22

2. Analysis of unsupervised learning approach for classification of vehicle fuel type using psychoacoustic features;Measurement;2024-03