Paper Info
Title
Sound events and emotions: Investigating the relation of rhythmic characteristics and arousal
Abstract
A variety of recent researches in Audio Emotion Recognition (AER) outlines high performance and retrieval accuracy results. However, in most works music is considered as the original sound content that conveys the identified emotions. One of the music characteristics that is found to represent a fundamental means for conveying emotions are the rhythm-related acoustic cues. Although music is an important aspect of everyday life, there are numerous non-linguistic and nonmusical sounds surrounding humans, generally defined as sound events (SEs). Despite this enormous impact of SEs to humans, a scarcity of investigations regarding AER from SEs is observed. There are only a few recent investigations concerned with SEs and AER, presenting a semantic connection between the former and the listener's triggered emotion. In this work we analytically investigate the connection of rhythm-related characteristics of a wide range of common SEs with the arousal of the listener using sound events with semantic content. To this aim, several feature evaluation and classification tasks are conducted using different ranking and classification algorithms. High accuracy results are obtained, demonstrating a significant relation of SEs rhythmic characteristics to the elicited arousal.
Year
DOI
Venue
2013
10.1109/IISA.2013.6623709
Information, Intelligence, Systems and Applications
Keywords
Field
DocType
acoustic signal processing,audio signal processing,emotion recognition,music,signal classification,AER,SE rhythmic characteristics,analytical analysis,audio emotion recognition,elicited arousal,feature classification algorithm,feature evaluation,listener arousal,music characteristics,nonlinguistic nonmusical sounds,ranking algorithm,rhythm-related acoustic cues,rhythm-related characteristics,rhythmic characteristics,semantic connection,semantic content,sound content,sound events,triggered emotion,Arousal,Audio Emotion Classification,Audio Emotion Recognition,Rhythm Related Features,Sound Events
Arousal,Everyday life,Ranking,Emotion recognition,Psychology,Feature evaluation,Speech recognition,Audio signal processing,Statistical classification,Rhythm
Conference
ISBN
Citations 
PageRank 
978-1-4799-0770-0
8
0.59
References 
Authors
7
4
Name
Order
Citations
PageRank
Drossos Konstantinos15712.51
R. Kotsakis2365.76
G. Kalliris327714.72
Andreas Floros48016.12