期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
A novel speech emotion recognition algorithm based on combination of emotion data field and ant colony search strategy 被引量:3
1
作者 查诚 陶华伟 +3 位作者 张昕然 周琳 赵力 杨平 《Journal of Southeast University(English Edition)》 EI CAS 2016年第2期158-163,共6页
In order to effectively conduct emotion recognition from spontaneous, non-prototypical and unsegmented speech so as to create a more natural human-machine interaction; a novel speech emotion recognition algorithm base... In order to effectively conduct emotion recognition from spontaneous, non-prototypical and unsegmented speech so as to create a more natural human-machine interaction; a novel speech emotion recognition algorithm based on the combination of the emotional data field (EDF) and the ant colony search (ACS) strategy, called the EDF-ACS algorithm, is proposed. More specifically, the inter- relationship among the turn-based acoustic feature vectors of different labels are established by using the potential function in the EDF. To perform the spontaneous speech emotion recognition, the artificial colony is used to mimic the turn- based acoustic feature vectors. Then, the canonical ACS strategy is used to investigate the movement direction of each artificial ant in the EDF, which is regarded as the emotional label of the corresponding turn-based acoustic feature vector. The proposed EDF-ACS algorithm is evaluated on the continueous audio)'visual emotion challenge (AVEC) 2012 dataset, which contains the spontaneous, non-prototypical and unsegmented speech emotion data. The experimental results show that the proposed EDF-ACS algorithm outperforms the existing state-of-the-art algorithm in turn-based speech emotion recognition. 展开更多
关键词 speech emotion recognition emotional data field ant colony search human-machine interaction
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部