Emotion Identification Using Specific Sentences that are Biased Towards Their Corresponding Emotions

摘要：

Speakers usually use certain words more frequently in expressing their emotions since they have learned the connection between certain words and their corresponding emotions.This work focuses on speakerdependent and text-dependent emotion identification in completely two separate and different speech databases.One database uses neutral sentences that are unbiased towards any emotion;however,the second database uses certain sentences that are biased towards their corresponding emotions.Each database consists of six emotions: neutral,angry,sad,happy,disgust,and fear.Our results,based on hidden Markov models (HMMs),show that the emotion identification performance of the second database is much better than that of the first one.

作者: Ismail Shahin

作者单位: University of Sharjah

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）