Erratum to: Development of an auditory emotion recognition function using psychoacoustic parameters based on the International Affective Digitized Sounds

Choi, Youngimm; Lee, Sung-Jun; Jung, Sung‐Soo; Choi, In-Mook; Park, Yon-Kyu; Kim, Chobok

doi:10.3758/s13428-015-0596-x

Behav Res

2015

DOI: 10.3758/s13428-015-0596-x

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Erratum to: Development of an auditory emotion recognition function using psychoacoustic parameters based on the International Affective Digitized Sounds

Youngimm Choi

Sung-Jun Lee

Sung‐Soo Jung

et al.

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“…However, previous studies have exposed that IADS-2, as a standardized international affective stimulus database, had limitations and deficiencies (Choi et al, 2016;da Silva & Backs, 2015). First, as compared to most visual stimulus databases, the number of stimuli in IADS-2 is insufficient (only 167 sounds; the International Affective Picture System [IAPS] has 1,182 pictures: Lang, Bradley, & Cuthbert, 1997 the Affective Norms for English Words [ANEW] has 1,034 words: Bradley & Lang, 2007b).…”

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Affective auditory stimulus database: An expanded version of the International Affective Digitized Sounds (IADS-E)

et al. 2018

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Using appropriate stimuli to evoke emotions is especially important for researching emotion. Psychologists have provided several standardized affective stimulus databases-such as the International Affective Picture System (IAPS) and the Nencki Affective Picture System (NAPS) as visual stimulus databases, as well as the International Affective Digitized Sounds (IADS) and the Montreal Affective Voices as auditory stimulus databases for emotional experiments. However, considering the limitations of the existing auditory stimulus database studies, research using auditory stimuli is relatively limited compared with the studies using visual stimuli. First, the number of sample sounds is limited, making it difficult to equate across emotional conditions and semantic categories. Second, some artificially created materials (music or human voice) may fail to accurately drive the intended emotional processes. Our principal aim was to expand existing auditory affective sample database to sufficiently cover natural sounds. We asked 207 participants to rate 935 sounds (including the sounds from the IADS-2) using the Self-Assessment Manikin (SAM) and three basic-emotion rating scales. The results showed that emotions in sounds can be distinguished on the affective rating scales, and the stability of the evaluations of sounds revealed that we have successfully provided a larger corpus of natural, emotionally evocative auditory stimuli, covering a wide range of semantic categories. Our expanded, standardized sound sample database may promote a wide range of research in auditory systems and the possible interactions with other sensory modalities, encouraging direct reliable comparisons of outcomes from different researchers in the field of psychology.

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Affective auditory stimulus database: An expanded version of the International Affective Digitized Sounds (IADS-E)

et al. 2018

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The effect of foreground and background of soundscape sequence on emotion in urban open spaces

2022

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Erratum to: Development of an auditory emotion recognition function using psychoacoustic parameters based on the International Affective Digitized Sounds

Cited by 2 publications

References 0 publications

Affective auditory stimulus database: An expanded version of the International Affective Digitized Sounds (IADS-E)

Affective auditory stimulus database: An expanded version of the International Affective Digitized Sounds (IADS-E)

The effect of foreground and background of soundscape sequence on emotion in urban open spaces

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