Abstract: In order to study the new issue of emotion recognition of whispered speech,the construction flow and standards are developed,and the whispered speech emotion database,which includes 4000 words,5000 sentences and 600 paragraphs,is designed and established.With the concepts of Membership Function and Analytic Hierarchy Process in fuzzy math,the validity of each sentence has been checked out to obtain a qualified database with which a preliminary experiment of whispered speech emotion recognition is carried out.It is concluded that the parameters such as sound length and sound power,which are suitable for normal speech emotion recognition,are still useful in whispered speech,while the other parameters related to pitch are not suitable for whispered speech emotion recognition.So the old parameters should be improved or new parameters would be extracted.