Modeling Human Core Affect Evaluation of Soundscape Quality with Physical Properties

Wolf, B.J. (2013) Modeling Human Core Affect Evaluation of Soundscape Quality with Physical Properties. Bachelor's Thesis, Artificial Intelligence.

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Abstract

The sounds around us form a sonic environment. The perceived sonic environment, or soundscape, affects our moods in yet unclear ways. The traditional model for soundscape quality is derived from sound pressure levels only and has a poor performance for classifying soundscape quality in terms of core affect. Core affect allows us to describe the shifts in our moods along two axes: pleasantness and eventfulness. It has been shown that soundscapes are evaluated quite uniformly in terms of core affect. Using physical properties – or features – of soundscapes, we set to model human core affect evaluation with an artificial neural network. The results show that our trained model offers insights in useful advances for automated classification.

Item Type:	Thesis (Bachelor's Thesis)
Degree programme:	Artificial Intelligence
Thesis type:	Bachelor's Thesis
Language:	English
Date Deposited:	15 Feb 2018 07:55
Last Modified:	15 Feb 2018 07:55
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/11354

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