The Sound of Synthetic: A Scoping Review of Human Perception in Detecting Synthetic Voices

This scoping review synthesizes existing literature on how humans perceive and detect synthetic voices, emphasizing the auditory cues listeners rely on and the factors influencing their accuracy. By highlighting both the positive and negative implications of this technology, we analyze the studies with a focus on the misuse of synthetic voice. Research suggests that detection capabilities are often unreliable, with individuals relying on cues such as intuition/gut feeling, liveliness, emotions, linguistic features, and environmental features. This review examines how studies have explored these issues, analyzing human detection accuracy, detection cues, and empirical findings across human-computer interaction and artificial intelligence research. By mapping current research trends, this study identifies gaps in understanding human synthetic voice detection and proposes directions for future research.

Publication Details

Journal
Gesellschaft für Informatik (GI)
Published
2025-01-01
DOI
https://doi.org/10.18420/muc2025-mci-ws01-179
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

The Sound of Synthetic: A Scoping Review of Human Perception in Detecting Synthetic Voices

Gesellschaft für Informatik (GI)
Geochemistry and Geologic Mapping
article

The Sound of Synthetic: A Scoping Review of Human Perception in Detecting Synthetic Voices

article en

Abstract

This scoping review synthesizes existing literature on how humans perceive and detect synthetic voices, emphasizing the auditory cues listeners rely on and the factors influencing their accuracy. By highlighting both the positive and negative implications of this technology, we analyze the studies with a focus on the misuse of synthetic voice. Research suggests that detection capabilities are often unreliable, with individuals relying on cues such as intuition/gut feeling, liveliness, emotions, linguistic features, and environmental features. This review examines how studies have explored these issues, analyzing human detection accuracy, detection cues, and empirical findings across human-computer interaction and artificial intelligence research. By mapping current research trends, this study identifies gaps in understanding human synthetic voice detection and proposes directions for future research.

Gesellschaft für Informatik (GI)
Quality Education
Openalex Percentile: Top 69%
Geochemistry and Geologic Mapping
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