情感语音数据库是语音情感识别研究的数据基础,为语音情感识别模型的建立提供训练和测试数据。近年来,国内外研究者们以各自的科研任务为背景,建立了若干面向语音情感识别研究的数据库。然而,由于情感的复杂性以及缺乏统一的数据库建立标准,只有少数的高质量的数据库得到了大多数研究者们的认可。通过文献调查与分析,对当前领域内极具代表性的一些情感语音数据库进行了综述,目的是为相关研究者们的数据库建立和选择工作提供可靠的对比和参考依据。
Emotional speech databases (ESDs) provide training and test data for the construction of speech emotion recognition model. Nowadays, a number of ESDs have been built by domestic and abroad researchers in the field of speech emotion recognition, under the background of their own tasks. However, since the complexity of emotion and the lack of uniform standard on ESD building, only a limit number of databases have been generally accepted by most researchers. This paper presents a review on the most representative ESDs in state-of-the-art research community on the base of investigation and analysis on references. The goal of this review is to provide reliable information and reference to related researchers when they build or choose suitable database for their research.