首页> 外文期刊>Behavior Research Methods >Recognizing vocal emotions in Mandarin Chinese: A validated database of Chinese vocal emotional stimuli
【24h】

Recognizing vocal emotions in Mandarin Chinese: A validated database of Chinese vocal emotional stimuli

机译:识别普通话中的声音情感:经过验证的中国声音情感刺激数据库

获取原文
获取原文并翻译 | 示例
           

摘要

To establish a valid database of vocal emotional stimuli in Mandarin Chinese, a set of Chinese pseudosentences (i.e., semantically meaningless sentences that resembled real Chinese) were produced by four native Mandarin speakers to express seven emotional meanings: anger, disgust, fear, sadness, happiness, pleasant surprise, and neutrality. These expressions were identified by a group of native Mandarin listeners in a seven-alternative forced choice task, and items reaching a recognition rate of at least three times chance performance in the seven-choice task were selected as a valid database and then subjected to acoustic analysis. The results demonstrated expected variations in both perceptual and acoustic patterns of the seven vocal emotions in Mandarin. For instance, fear, anger, sadness, and neutrality were associated with relatively high recognition, whereas happiness, disgust, and pleasant surprise were recognized less accurately. Acoustically, anger and pleasant surprise exhibited relatively high mean f0 values and large variation in f0 and amplitude; in contrast, sadness, disgust, fear, and neutrality exhibited relatively low mean f0 values and small amplitude variations, and happiness exhibited a moderate mean f0 value and f0 variation. Emotional expressions varied systematically in speech rate and harmonics-to-noise ratio values as well. This validated database is available to the research community and will contribute to future studies of emotional prosody for a number of purposes. To access the database, please contact pan.liu@mail.mcgill.ca.
机译:为了建立有效的普通话语音情感刺激数据库,由四位讲普通话的母语人士制作了一套中文假句(即与真实汉语相似的语义上无意义的句子)来表达七种情感含义:愤怒,厌恶,恐惧,悲伤,幸福,惊喜和中立。这些表情是由一组母语普通话听众在七种替代选择任务中识别的,并且将达到七种选择任务中机会表现至少三倍的识别率的项目选择为有效数据库,然后进行声学处理。分析。结果表明,普通话中七种语音的感知和听觉模式都有预期的变化。例如,恐惧,愤怒,悲伤和中立与相对较高的识别率相关,而幸福,厌恶和令人惊喜的识别则不那么准确。从听觉上讲,愤怒和令人惊讶的惊喜表现出较高的平均f0值和f0和振幅的大变化;相反,悲伤,厌恶,恐惧和中立表现出相对较低的平均f0值和较小的幅度变化,而幸福则表现出中等的平均f0值和f0变化。情感表达的语速和谐波噪声比值也有系统的变化。这个经过验证的数据库可供研究团体使用,并将为许多目的对将来的情绪韵律研究做出贡献。要访问数据库,请联系pan.liu@mail.mcgill.ca。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号