一个经过验证的普通话中文听觉情感数据库的主题-个人名词句子 (MCAE-SPPS)
Mengyuan Li1,2, Anqi Zhou2, Huiru Yan2
1School of Nursing, Army Medical University, No. 30 Gaotanyanzheng Street, Shapingba District, Chongqing, 400038, China.
Scientific data
|March 5, 2026
概括
这项研究创建了一个普通话中文情感语音数据集,其中包含个人代名词. 经过验证的语料库有助于研究语音情感识别和语言学.
科学领域:
- 语言学的语言学.
- 心理学科学 心理学科学
- 神经科学是一个神经科学.
- 临床康复 临床康复
背景情况:
- 语音中的情感表达受到语法主题的影响,特别是个人代词.
- 现有的听觉情感语音数据集可能缺乏全面的代词表示.
研究的目的:
- 开发和验证一个新的普通话中文听觉情感语音数据集.
- 调查个人代名词 (第一,第二和第三人称) 在语音情感中的作用.
- 为跨学科研究提供资源.
主要方法:
- 六名专业演员以中性语调和六种基本情绪记录了200个有意义的语句.
- 720名汉语母语使用者提供了情感标签和强度等级.
- 编制了6675个验证录音的数据集,包括声学特征和识别率.
主要成果:
- 该数据集包括6,675个经过验证的情感语音发言,分为七个类别 (中立,悲伤,愤怒,惊喜,厌恶,幸福,恐惧).
- 录音根据代词类型进行分类:2,729 (第一人称),2,608 (第二人称) 和1,338 (第三人称).
- 该数据集显示了可接受的评级者间可靠性和声学特征与情感识别之间的显著关联.
结论:
- 开发的普通话中文情绪语音数据集是一个有价值和独特的资源.
- 该集体支持语音情感识别,语言学和相关领域的研究.
- 该数据集有助于研究口语语法,情感和声学之间的相互作用.
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