Geng Puyang, Fan Ningxue, Ling Rong, Li Zhijun, Guo Hong, Lu Qimeng, Chen Xingwen
Department of Audio, Video, and Electronic Forensics, Academy of Forensic Science, Shanghai, China; Shanghai Forensic Service Platform, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai, China.
Information Security and Social Management Innovation Lab, Shanghai Open University, Shanghai, China.
J Voice. 2023 Oct 10. doi: 10.1016/j.jvoice.2023.08.022.
Drug use/addiction has a profound impact on the physical and mental health of individuals. Previous studies have indicated that drug users may experience speech perception disorders, including speech illusion and challenges in recognizing emotional speech. However, the influence of drugs on speech production, as another crucial aspect of speech communication, has not been thoroughly examined. Therefore, the current study aimed to investigate how drugs affect the acoustic characteristics of speech in Chinese male drug users.
Speech recordings were collected from a total of 160 male drug users (including 106 heroin users, 23 ketamine users, and 31 methamphetamine users) and 55 male healthy controls with no history of drug use. Acoustic analysis was conducted on the collected speech data from these groups, and classification analysis was performed using five supervised learning algorithms.
The results demonstrated that drug users exhibited smaller F0 standard deviation, reduced loudness, cepstral peak prominence, and formant relative energies, as well as higher H1-A3, longer unvoiced segments, and fewer voiced segments per second compared to the control group. The classification analyses yielded good performance in classifying drug users and non-drug users, with an accuracy above 86%. Moreover, the identification of the three groups of drug users achieved an accuracy of approximately 70%. Additionally, the study revealed different effects on speech production among the three types of drugs.
The above findings indicate the presence of speech disorders, such as vocal hoarseness, in drug users, thus confirming the assumption that the acoustic characteristics of speech in drug users deviates from the norm. This study not only fills the knowledge gap regarding the effects of drugs on the speech production of Chinese male drug users but also provides a more comprehensive understanding of how drugs impact human behaviors. Furthermore, this research provides theoretical foundations of detoxification and speech rehabilitation for drug users.
药物使用/成瘾对个体的身心健康有着深远影响。先前的研究表明，吸毒者可能会出现言语感知障碍，包括言语幻觉以及识别情感言语方面的挑战。然而，药物对言语产生这一言语交流的另一个关键方面的影响尚未得到充分研究。因此，本研究旨在调查药物如何影响中国男性吸毒者言语的声学特征。
共收集了160名男性吸毒者（包括106名海洛因使用者、23名氯胺酮使用者和31名甲基苯丙胺使用者）以及55名无吸毒史的男性健康对照者的语音记录。对这些组收集到的语音数据进行声学分析，并使用五种监督学习算法进行分类分析。
结果表明，与对照组相比，吸毒者表现出较小的基频标准差、较低的响度、较低的谐波峰值突出度和共振峰相对能量，以及较高的H1-A3、较长的清音段和每秒较少的浊音段。分类分析在区分吸毒者和非吸毒者方面表现良好，准确率超过86%。此外，对三组吸毒者的识别准确率约为70%。此外，研究还揭示了三种药物对言语产生的不同影响。
上述研究结果表明吸毒者存在言语障碍，如声音嘶哑，从而证实了吸毒者言语的声学特征偏离正常的假设。本研究不仅填补了关于药物对中国男性吸毒者言语产生影响的知识空白，还提供了对药物如何影响人类行为的更全面理解。此外，本研究为吸毒者的戒毒和言语康复提供了理论基础。
