Evidence map›Paper›PMID 40374900›Full record

ArticleScientific reports2025

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

Weijia Zhang, Jiaju Li, Luyang Ji, Xue Cheng, Dongqin Sun, Yanrong Jiang, Feiyu Chen, Yiduo Zhou, Calvin Choi, Hao Cheng and 1 more

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Weijia ZhangDepartment of Mathematica and Information Sciences, Shaoxing University, Shaoxing, China.
Jiaju LiDepartment of Mathematica and Information Sciences, Shaoxing University, Shaoxing, China.
Luyang JiDepartment of Mathematica and Information Sciences, Shaoxing University, Shaoxing, China.
Xue ChengDepartment of Mathematica and Information Sciences, Shaoxing University, Shaoxing, China.
Dongqin SunDepartment of Mathematica and Information Sciences, Shaoxing University, Shaoxing, China.
Yanrong JiangDepartment of Mathematica and Information Sciences, Shaoxing University, Shaoxing, China.
Feiyu ChenDepartment of Mathematica and Information Sciences, Shaoxing University, Shaoxing, China.
Yiduo ZhouDepartment of Mathematica and Information Sciences, Shaoxing University, Shaoxing, China.
Calvin ChoiOxford Industrial Holding Group, Kowloon, Hong Kong.
Hao ChengZhejiang Chengshi Metaverse Technology Co., Ltd, Hangzhou, China.
Shaomin CaiSchool of Medicine, Shaoxing University, Shaoxing, China. usxmedlab@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial IntelligenceBrainVoiceAdultEmotionsFemaleHumansMalePrefrontal CortexSpectroscopy, Near-InfraredSpeech PerceptionTemporal LobeYoung AdultArtificial intelligencefNIRSHuman-computer interactionSocial impact of synthetic speechVoice synthesis

Identifiers

PMID40374900
PMCPMC12081930

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