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KMID : 1022420220140030077
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Phonetics and Speech Sciences
2022 Volume.14 No. 3 p.77 ~ p.86
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Development and validation of a Korean Affective Voice Database
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Kim Ye-Ji
Song Hye-Sun
Jeon Ye-Sol
Oh Yoo-Rim
Lee Young-Mee
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Abstract
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In this study, we reported the validation results of the Korean Affective Voice Database (KAV DB), an affective voice database available for scientific and clinical use, comprising a total of 113 validated affective voice stimuli. The KAV DB includes audio-recordings of two actors (one male and one female), each uttering 10 semantically neutral sentences with the intention to convey six different affective states (happiness, anger, fear, sadness, surprise, and neutral). The database was organized into three separate voice stimulus sets in order to validate the KAV DB. Participants rated the stimuli on six rating scales corresponding to the six targeted affective states by using a 100 horizontal visual analog scale. The KAV DB showed high internal consistency for voice stimuli (Cronbach’s α=.847). The database had high sensitivity (mean=82.8%) and specificity (mean=83.8%). The KAV DB is expected to be useful for both academic research and clinical purposes in the field of communication disorders. The KAV DB is available for download at https://kav-db.notion.site/KAV-DB-7539a36abe2e414ebf4a50d80436b41a.
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KEYWORD
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prosody, affective voices, emotion recognition
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