SAVEE Dataset

The Surrey Audio-Visual Expressed Emotion (SAVEE) dataset was recorded as a pre-requisite for the development of an automatic emotion recognition system. The database consists of recordings from 4 male actors in 7 different emotions, 480 British English utterances in total. The sentences were chosen from the standard TIMIT corpus and phonetically-balanced for each emotion. The data were recorded in a visual media lab with high quality audio-visual equipment, processed and labeled. To check the quality of performance, the recordings were evaluated by 10 subjects under audio, visual and audio-visual conditions. Classification systems were built using standard features and classifiers for each of the audio, visual and audio-visual modalities, and speaker-independent recognition rates of 61%, 65% and 84% achieved respectively.

萨里音频-视觉表情表达（SAVEE）数据集旨在作为开发自动情绪识别系统的先决条件而被记录。该数据库包含来自4位不同情绪的男性演员的录音，总计480条英国英语语句。所选句子源自标准的TIMIT语料库，并对每种情绪进行了语音平衡。数据在视觉媒体实验室使用高品质的音频-视觉设备进行录制、处理和标注。为确保表演质量，录音在音频、视觉和音频-视觉条件下由10位受试者进行评估。针对音频、视觉和音频-视觉模态，构建了基于标准特征和分类器的分类系统，分别实现了61%、65%和84%的说话人无关识别率。