中国司法鉴定Issue(2)：38-45,8.DOI:10.3969/j.issn.1671-2072.2026.02.005
人工智能合成语音与自然语音的对比研究
Comparative Study of AI-Synthesized Speech and Natural Speech
摘要
Abstract
Objective With the rapid development of artificial intelligence(AI)-synthesized speech technology,its detectability in forensic appraisal has become a key issue.This study systematically analyzes the differential features between AI-synthesized speech and natural speech through a two-dimensional comparative study of auditory perception and acoustic quantification,thereby providing an effective reference for the identification,prevention,inspection,and appraisal of synthesized speech in judicial practice.Methods In the auditory test,the Likert-type Scale was used to rate the consistency between natural speech and synthesized speech.Acoustic tests were conducted by extracting feature parameters such as fundamental frequency,formants,sound intensity,and duration using the Praat speech analysis software.Combined with SPSS 27 statistical analysis software,a paired-sample t-test was conducted to quantify the differences between natural speech and synthesized speech.Results Compared with natural speech,AI-synthesized speech exhibited poorer performance in terms of auditory features such as monosyllabic integrity,retroflex features,stress,speech rate,and fluency.Statistical analysis of the acoustic testing showed that there were significant differences in fundamental frequency and formants,while sound intensity and duration showed no significant differences.Conclusion The combined application of"human ear preliminary screening"and acoustic quantification two-dimensional testing techniques in forensic appraisal can effectively distinguish AI-synthesized speech from natural speech,providing technical support for the inspection and appraisal of AI-synthesized speech.关键词
人工智能/合成语音/自然语音/对比研究/司法鉴定Key words
artificial intelligence(AI)/synthesized speech/natural speech/comparative study/forensic appraisal分类
社会科学引用本文复制引用
廖方菱,陈蔓青,陈胜湘,郭宇航,杨英仓,牟帆..人工智能合成语音与自然语音的对比研究[J].中国司法鉴定,2026,(2):38-45,8.基金项目
2022年国家社会科学基金项目(22BYY083). （22BYY083）
