Evaluating the Impact of Sound Events’ Rhythm Characteristics to Listener’s Valence

Research output: Contribution to journal › Article › Scientific › peer-review

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Evaluating the Impact of Sound Events’ Rhythm Characteristics to Listener’s Valence. / Drossos, Konstantinos; Floros, Andreas; Kermanidis, Katia L.

In: Journal of the Audio Engineering Society, Vol. 63, No. 3, 2015, p. 139-153.

Research output: Contribution to journal › Article › Scientific › peer-review

Harvard

Drossos, K, Floros, A & Kermanidis, KL 2015, 'Evaluating the Impact of Sound Events’ Rhythm Characteristics to Listener’s Valence', Journal of the Audio Engineering Society, vol. 63, no. 3, pp. 139-153.

APA

Drossos, K., Floros, A., & Kermanidis, K. L. (2015). Evaluating the Impact of Sound Events’ Rhythm Characteristics to Listener’s Valence. Journal of the Audio Engineering Society, 63(3), 139-153.

Vancouver

Drossos K, Floros A, Kermanidis KL. Evaluating the Impact of Sound Events’ Rhythm Characteristics to Listener’s Valence. Journal of the Audio Engineering Society. 2015;63(3):139-153.

Author

Drossos, Konstantinos ; Floros, Andreas ; Kermanidis, Katia L. / Evaluating the Impact of Sound Events’ Rhythm Characteristics to Listener’s Valence. In: Journal of the Audio Engineering Society. 2015 ; Vol. 63, No. 3. pp. 139-153.

Bibtex - Download

@article{ec849d1a751f4400b8ba7b056c81bd9f,

title = "Evaluating the Impact of Sound Events’ Rhythm Characteristics to Listener’s Valence",

abstract = "While modern sound researchers generally focus on speech and music, mammalian hearing arose from the need to sense those events in the environment that produced sound waves. Such unorganized sound stimuli, referred to as Sound Events (SEs), can also produce an affective and emotional response. In this research, the investigators explore valence recognition of SEs utilizing rhythm-related acoustics cues. A well-known data set with emotionally annotated SEs was employed; various rhythm-related attributes were then extracted and several machine-learning experiments were conducted. The results portray that the rhythm of a SE can affect the listener’s valence up to an extent and, combined with previous works on SEs, could lead to a comprehensive recognition of the rhythm’s effect on the emotional state of the listener.",

author = "Konstantinos Drossos and Andreas Floros and Kermanidis, {Katia L.}",

year = "2015",

language = "English",

volume = "63",

pages = "139--153",

journal = "Journal of the Audio Engineering Society",

issn = "1549-4950",

publisher = "Audio Engineering Society",

number = "3",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Evaluating the Impact of Sound Events’ Rhythm Characteristics to Listener’s Valence

AU - Drossos, Konstantinos

AU - Floros, Andreas

AU - Kermanidis, Katia L.

PY - 2015

Y1 - 2015

N2 - While modern sound researchers generally focus on speech and music, mammalian hearing arose from the need to sense those events in the environment that produced sound waves. Such unorganized sound stimuli, referred to as Sound Events (SEs), can also produce an affective and emotional response. In this research, the investigators explore valence recognition of SEs utilizing rhythm-related acoustics cues. A well-known data set with emotionally annotated SEs was employed; various rhythm-related attributes were then extracted and several machine-learning experiments were conducted. The results portray that the rhythm of a SE can affect the listener’s valence up to an extent and, combined with previous works on SEs, could lead to a comprehensive recognition of the rhythm’s effect on the emotional state of the listener.

AB - While modern sound researchers generally focus on speech and music, mammalian hearing arose from the need to sense those events in the environment that produced sound waves. Such unorganized sound stimuli, referred to as Sound Events (SEs), can also produce an affective and emotional response. In this research, the investigators explore valence recognition of SEs utilizing rhythm-related acoustics cues. A well-known data set with emotionally annotated SEs was employed; various rhythm-related attributes were then extracted and several machine-learning experiments were conducted. The results portray that the rhythm of a SE can affect the listener’s valence up to an extent and, combined with previous works on SEs, could lead to a comprehensive recognition of the rhythm’s effect on the emotional state of the listener.

M3 - Article

VL - 63

SP - 139

EP - 153

JO - Journal of the Audio Engineering Society

JF - Journal of the Audio Engineering Society

SN - 1549-4950

IS - 3

ER -

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