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Sound source annoyance: The detection threshold and core affect from people who are annoyed.

Burger, P. and Veraart, D.L. (2014) Sound source annoyance: The detection threshold and core affect from people who are annoyed. Bachelor's Thesis, Artificial Intelligence.

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This paper is about 1) a possible sound source in noise detection threshold shift that annoyed people may have developed specifically for the sound they are annoyed by, and 2) how the audibility of an annoying sound influences core affect. The first part of this paper investigates whether people who are experiencing sound annoyance, have developed a lower detection threshold for the annoying sound in comparison with people who don’t consider the sound annoying. We expect that people who are annoyed by a particular sound source, are better in detecting the sound, and are capable of hearing this source at a lower SNR. Mixing annoying sounds with pink noise and determining the SNR in which the subjects do not longer hear the sounds tests this expectation. This detection threshold is compared with the detection threshold of subjects who don’t consider this sound annoying. We didn’t find a significant difference between both conditions. The second part of this study focuses on the appraisal of these annoying sounds. In this part, the annoying sound is added at the end or the beginning of a normal environmental sound, and examined is how the environmental sound is evaluated with and without the annoying sound (as calm, lively, chaotic, or boring). It is expected that the environment is appraised more chaotically or boring when the annoying sound is present. We found a significant difference on the horizontal axis (unpleasant vs. pleasant) on both conditions (adding the sound in the beginning and adding the sound at the end).

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 08:02
Last Modified: 15 Feb 2018 08:02

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