摘要
为建立一个真实、自然、丰富的情感语音数据库,研究选择高兴、惊奇、悲伤、生气四种情感类型,利用截取广播剧的方式获得初选阶段的情感语音数据库。通过模糊综合评价与层次分析法、熵权法相结合建立情感语音的模糊综合评价模型,利用该模型对初选阶段的数据库进行模糊评价,筛选得到最终高质量的情感语音数据库。将三种类型的数据库用于情感语音识别实验,对比分析了不同类型数据库的差异,同时也验证了本数据库的有效性。
To establish a real,natural and abundant emotional speech database,four emotion types of happy,surprise, sad and angry are chosen. The way of radio drama intercepting is used to obtain the emotional speech database in primary stage. The fuzzy comprehensive evaluation model of emotional speech was established in combination with fuzzy comprehensive evalua?tion,analytic hierarchy process and entropy weight method. The fuzzy evaluation for the database in primary stage was conduct?ed with the model to obtain the final emotional speech database with high quality. Three kinds of speech databases were applied to the emotional speech recognition experiment. The differences of different databases are compared and analyzed. The effective?ness of this database was verified.
出处
《现代电子技术》
北大核心
2016年第13期51-54,58,共5页
Modern Electronics Technique
基金
国家自然科学基金(61371193)
山西省青年科技研究基金(2013021016-2)
山西省回国留学人员科研资助项目(2013-034)
山西省研究生创新项目(2015BY24)
关键词
情感语音数据库
模糊综合评价
层次分析法
熵权法
情感语音识别
emotional speech database
fuzzy comprehensive evaluation
analytic hierarchy process
entropy method
emotional speech recognition
