On Similarity and Density of Applause Sounds

Adami A, Taghipour A, Herre J (2017)


Publication Type: Journal article

Publication year: 2017

Journal

Book Volume: 65

Pages Range: 897-913

Journal Issue: 11

DOI: 10.17743/jaes.2017.0034

Abstract

Applause is the result of people showing their appreciation after a performance by clapping their hands. Applause ranges from very sparse sounds with well-distinguishable individual claps for small crowds to extremely dense and almost noise-like sounds for very large crowds. While commonly used perceptual attributes like loudness, pitch, and timbre seem insufficient to characterize different types of applause, "density" was recently introduced and found to be an important perceptual attribute for characterizing applause sounds. This paper provides an in-depth analysis of applause perception regarding density. In particular, in a first experiment perceived applause density was evaluated and its dependency on spectral equalization was assessed. Then, the contribution of perceived density on the perceived similarity of different applause sounds was investigated in a second experiment. Statistical analyses of the experimental data suggest that spectral equalization has no statistically significant effect on density and only a small but significant effect on similarity perception. A linear mixed effects model fitted to the experimental data revealed that perceived density differences as well as spectral equalization significantly predict applause similarity, whereby density differences were found to be the dominating factor. This confirms that perceived density is indeed a key feature for characterization of applause sounds.

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How to cite

APA:

Adami, A., Taghipour, A., & Herre, J. (2017). On Similarity and Density of Applause Sounds. Journal of the Audio Engineering Society, 65(11), 897-913. https://doi.org/10.17743/jaes.2017.0034

MLA:

Adami, Alexander, Armin Taghipour, and Jürgen Herre. "On Similarity and Density of Applause Sounds." Journal of the Audio Engineering Society 65.11 (2017): 897-913.

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