iMobilAkou: The Role of Machine Listening to Detect Vehicle using Sound Acoustics

Sharif, Muddsair and Hotwani, Mayur and Şeker, Hüseyin and Lückemeyer, Gero (2021) iMobilAkou: The Role of Machine Listening to Detect Vehicle using Sound Acoustics. In: 2021 the 5th International Conference on Advances in Artificial Intelligence (ICAAI 2021), 20-22 November 2021. (In Press)

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Abstract

Machine Learning can work very well with image recognition, but it is used to recognize audio patterns. Machine listening identifies audio patterns of different entities like the car engine, human speaking, nature sounds, etc. The environmental sound classification plays an important role to encourage citizens to travel smartly within a city without creating unbearable noises. On the other hand, it also promotes the city council to maintain and predict a sustainable sound at rush hour with ins the city. The aim of this early-stage research is to present a methodology that will read the labeled audio files, extract features from them, feed features to a sequential model. Moreover, the model will have the ability to classify these audio files of vehicles based on their input feature(s) and then further categorize them as it either light-weight, medium-weight, heavy-weight, rail-bound or two-wheeled vehicle using the applications of machine listening and deep learning in the field of sound acoustics. Therefore, It will also classify unlabelled test data files on a pre-trained model. This research provides us the base model for the vehicle classification giving both advantages and disadvantages along with the possibility for future extensions.

Item Type: Conference or Workshop Item (Paper)
Date: 26 July 2021
Uncontrolled Keywords: Environmental sounds classification (ESC), Intelligent Personal As-sistants (IPA), deep learning (DL), M4LAB, Machine Listening (ML),Sound Acoustic(SA), Message Passing Interface (MPI), IntelligentMobility using Sound Acoustic (iMobilAkou).
Subjects: G400 Computer Science
G700 Artificial Intelligence
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Huseyin Seker
Date Deposited: 01 Sep 2021 11:32
Last Modified: 01 Sep 2021 11:32
URI: http://www.open-access.bcu.ac.uk/id/eprint/12123

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