Evaluation of Classical Machine Learning Techniques towards Urban Sound Recognition on Embedded Systems

Evaluation of Classical Machine Learning Techniques towards Urban Sound Recognition on Embedded Systems

Automatic urban sound classification is a desirable capability for urban monitoring systems, allowing real-time monitoring of urban environments and recognition of events. Current embedded systems provide enough computational power to perform real-time urban audio recognition. Using such devices for...

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Bibliographic Details
Main Authors: Bruno da Silva, Axel W. Happi, An Braeken, Abdellah Touhafi
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Applied Sciences
Subjects:
urban sound classification
machine learning
embedded system
environment sound recognition
audio feature extraction
edge computing
Online Access:https://www.mdpi.com/2076-3417/9/18/3885

Internet

https://www.mdpi.com/2076-3417/9/18/3885

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