Features extraction and selection for emotional speech classification

Release time:2021-12-25  Hits:

• Journal:IEEE Conference on Advanced Video and Signal Based SurveillanceIEEE Conference on Advanced Video and Signal Based Surveillance
• Abstract:The classification of emotional speech is a topic in speech recognition with more and more interest, and it has giant prospect in applications in a wide variety of fields. It is an important preparation for automatic classification and recognition of emotions to select a proper feature set as a description to the emotional speech, and to find a proper definition to the emotions in speech. The speech samples used in this paper come from Berlin database which contains 7 kinds of emotions, with 207 speech samples of male voice and 287 speech samples of female voice. A feature set of 50 potentially features is extracted and analyzed, and the best features are selected. A definition of emotions as 3-states emotions is also proposed in this paper.
• Co-author:Dellandrea, E, Dou, WB, Chen, LM,阎建新,DOU Weibei,董在望
• First Author:Xiao, ZZ,阎建新
• Indexed by:会议论文
• Page Number:411-416
• Translation or Not:no
• Date of Publication:2005-09-15