fNIRS experimental study on the impact of AI-synthesized familiar voices on brain neural responses

With the advancement of artificial intelligence (AI) speech synthesis technology, its application in personalized voice services and its potential role in emotional comfort have become research focal points. This study aims to explore the impact of AI-synthesized familiar and unfamiliar voices on neural responses in the brain. We utilized the GPT-SoVITS project to synthesize three types of voices: a female voice, a sweet female voice, and a maternal voice, all reading the same text. Using functional near-infrared spectroscopy (fNIRS), we monitored the changes in blood oxygen levels in the prefrontal cortex and temporal cortex of participants during listening, assessing brain activation. The experimental results showed that the AI-synthesized maternal voice significantly activated the participants' prefrontal and temporal cortices. Combined with participants' feedback, the activation of these areas may reflect multidimensional features of voice familiarity processing, including emotion, memory, and cognitive function. This finding reveals the potential applications of AI voice technology in enhancing mental health and user experience.

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Publication Details

Journal
Scientific Reports
Published
2025-05-15
DOI
https://doi.org/10.1038/s41598-025-92702-5
Citations
2
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
Field-Weighted Citation Impact
2.72

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article

fNIRS experimental study on the impact of AI-synthesized familiar voices on brain neural responses

Xue Cheng, Shaomin Cai, Chul-Jin Choi, Lu‐Yang Ji et al.
2 citations
Scientific Reports
Optical Imaging and Spectroscopy Techniques
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article

fNIRS experimental study on the impact of AI-synthesized familiar voices on brain neural responses

Xue Cheng, Shaomin Cai, Chul-Jin Choi, Lu‐Yang Ji, Hao Cheng, Yiduo Zhou, Weijia Zhang, Feiyu Chen, Yanrong Jiang, Dongqin Sun, Jiaju Li
article en
2 citations

Abstract

With the advancement of artificial intelligence (AI) speech synthesis technology, its application in personalized voice services and its potential role in emotional comfort have become research focal points. This study aims to explore the impact of AI-synthesized familiar and unfamiliar voices on neural responses in the brain. We utilized the GPT-SoVITS project to synthesize three types of voices: a female voice, a sweet female voice, and a maternal voice, all reading the same text. Using functional near-infrared spectroscopy (fNIRS), we monitored the changes in blood oxygen levels in the prefrontal cortex and temporal cortex of participants during listening, assessing brain activation. The experimental results showed that the AI-synthesized maternal voice significantly activated the participants' prefrontal and temporal cortices. Combined with participants' feedback, the activation of these areas may reflect multidimensional features of voice familiarity processing, including emotion, memory, and cognitive function. This finding reveals the potential applications of AI voice technology in enhancing mental health and user experience.

Scientific ReportsVol. 15(1)
Shaoxing University (CN), Kowloon Hospital (CN), Zhejiang Metallurgical Research Institute (CN), Science Oxford (GB)
Shaoxing University
Openalex Percentile: Top 11%
Optical Imaging and Spectroscopy Techniques
2.72
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