Gong Bingyan, Li Na, Li Qiuhong, Yan Xinyuan, Chen Jing, Li Liang, Wu Xihong, Wu Chao
School of Nursing, Peking University Health Science Center, Room 510, 38 Xueyuan Road, Haidian District, Beijing, 100191, China.
Theatre Pedagogy Department, Central Academy of Drama, Beijing, 100710, China.
Behav Res Methods. 2023 Apr;55(3):1441-1459. doi: 10.3758/s13428-022-01868-7. Epub 2022 May 31.
Emotional prosody is fully embedded in language and can be influenced by the linguistic properties of a specific language. Considering the limitations of existing Chinese auditory stimulus database studies, we developed and validated an emotional auditory stimuli database composed of Chinese pseudo-sentences, recorded by six professional actors in Mandarin Chinese. Emotional expressions included happiness, sadness, anger, fear, disgust, pleasant surprise, and neutrality. All emotional categories were vocalized into two types of sentence patterns, declarative and interrogative. In addition, all emotional pseudo-sentences, except for neutral, were vocalized at two levels of emotional intensity: normal and strong. Each recording was validated with 40 native Chinese listeners in terms of the recognition accuracy of the intended emotion portrayal; finally, 4361 pseudo-sentence stimuli were included in the database. Validation of the database using a forced-choice recognition paradigm revealed high rates of emotional recognition accuracy. The detailed acoustic attributes of vocalization were provided and connected to the emotion recognition rates. This corpus could be a valuable resource for researchers and clinicians to explore the behavioral and neural mechanisms underlying emotion processing of the general population and emotional disturbances in neurological, psychiatric, and developmental disorders. The Mandarin Chinese auditory emotion stimulus database is available at the Open Science Framework ( https://osf.io/sfbm6/?view_only=e22a521e2a7d44c6b3343e11b88f39e3 ).
情感韵律完全融入语言之中，并会受到特定语言的语言属性影响。考虑到现有中文听觉刺激数据库研究的局限性，我们开发并验证了一个由中文伪句子组成的情感听觉刺激数据库，该数据库由六名专业演员用普通话录制。情感表达包括快乐、悲伤、愤怒、恐惧、厌恶、惊喜和中性。所有情感类别都被表述为两种句型，陈述句和疑问句。此外，除中性外，所有情感伪句子都以两种情感强度水平发声：正常和强烈。每个录音都由40名以中文为母语的听众对预期情感描绘的识别准确性进行了验证；最终，数据库中包含了4361个伪句子刺激。使用强制选择识别范式对数据库进行验证，结果显示情感识别准确率很高。提供了发声的详细声学属性，并将其与情感识别率相关联。该语料库对于研究人员和临床医生探索普通人群情感处理以及神经、精神和发育障碍中的情感障碍的行为和神经机制可能是一个有价值的资源。普通话听觉情感刺激数据库可在开放科学框架（https://osf.io/sfbm6/?view_only=e22a521e2a7d44c6b3343e11b88f39e3）获取。
