用于训练音频中的情绪(7种基本情绪)分类的数据集
SAVEE数据库记录了来自萨里大学(University of Surrey)的27岁至31岁的四位英语为母语的男性女性(识别为DC,JE,JK,KL),研究生和研究人员。情感在心理上被分为不同的类别:愤怒,厌恶,恐惧,幸福,悲伤和惊奇。Ekman的跨文化研究支持了这一点,自动情感识别的研究倾向于集中于识别这些东西[12]。我们添加了中性,以提供7种情感类别的录音。文本材料由每个情感15个TIMIT句子组成:3个普通句子,2个特定于情感的句子和10个通用句子,每种句子因语音而保持平衡。将3个普通句子和2×6 = 12个特定于情感的句子记录为中性,以给出30个中性句子。
句子示例:
Common: She had your dark suit in greasy wash water all year. Anger: Who authorized the unlimited expense account? Disgust: Please take this dirty table cloth to the cleaners for me. Fear: Call an ambulance for medical assistance. Happiness: Those musicians harmonize marvelously. Sadness: The prospect of cutting back spending is an unpleasant one for any governor. Surprise: The carpet cleaners shampooed our oriental rug. Neutral: The best way to learn is to solve extra problems.
图2:蓝色标记用于跟踪各种情绪的被摄对象的面部(从左起):KL(生气),JK(高兴),JE(悲伤)和DC(中性)。