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A Cloud-Based Blended Learning Lab for PLC Education Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Environmental Sound Recognition with Classical Machine Learning Algorithms

Authors : Nikolina Jekic, Andreas Pester

Published in: Smart Industry & Smart Education

Publisher: Springer International Publishing

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Abstract

The field of study interested in the development of computer algorithm for transforming data into intelligent actions is known as machine learning. The paper investigates different machine learning classification algorithms and their effectiveness in environmental sound recognition. Efforts are made in selecting the suitable audio feature extraction technique and finding a direct connection between audio feature extraction technique and the quality of the algorithm performance. These techniques are compared to determine the most suitable for solving the problem of environmental sound recognition.

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Metadata
Title
Environmental Sound Recognition with Classical Machine Learning Algorithms
Authors
Nikolina Jekic
Andreas Pester
Copyright Year
2019
Book
Smart Industry & Smart Education

Print ISBN: 978-3-319-95677-0

Electronic ISBN: 978-3-319-95678-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-95678-7_2

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