摘要
对语音情感识别的研究现状和进展进行了归纳和总结,对未来语音情感识别技术发展趋势进行了展望.从5个角度逐步展开进行归纳总结,即情感描述模型、具有代表性的情感语音库、语音情感特征提取、语音情感识别算法研究和语音情感识别技术应用,旨在尽可能全面地对语音情感识别技术进行细致的介绍与分析,为相关研究人员提供有价值的学术参考;最后,立足于研究现状的分析与把握,对当前语音情感识别领域所面临的挑战与发展趋势进行了展望.侧重于对语音情感识别研究的主流方法和前沿进展进行概括、比较和分析.
This paper surveys the state of the art of speech emotion recognition （SER）, and presents an outlook on the trend of future SER technology. First, the survey summarizes and analyzes SER in detail from five perspectives, including emotion representation models, representative emotional speech corpora, emotion-related acoustic features extraction, SER methods and applications. Then, based on the survey, the challenges faced by current SER research are concluded. This paper aims to take a deep insight into the mainstream methods and recent progress in this field, and presents detailed comparison and analysis between these methods.
出处
《软件学报》
EI
CSCD
北大核心
2014年第1期37-50,共14页
Journal of Software
基金
国家自然科学基金(61171186
61271345)
语言语音教育部微软重点实验室开放基金(HIT.KLOF.2011XXX)
中央高校基本科研业务费专项资金(HIT.NSRIF.2012047)
关键词
人机交互
情感计算
情感描述模型
情感语音库
情感声学特征
语音情感识别
human-computer interaction
affective computing
emotion representation model
emotional speech corpora
emotion-related acoustic feature
speech emotion recognition
