Title :
Text material design for fuzzy emotional speech corpus based on persian semantic and structure
Author :
Savargiv, Mohammad ; Bastanfard, Azam
Author_Institution :
Fac. of Electr., Comput. & IT Eng., Islamic Azad Univ., Qazvin, Iran
Abstract :
The prerequisites to study in subjects, such as recognition and classification of speech emotional states are existence and having access to the appropriate dataset. The importance of dataset increases when data collection illustrates the Fuzzy behavior. The Fuzzy behavior of dataset is manner that the membership of a sample to a set is non-deterministic. The emotional speech datasets are such data collections that show Fuzzy behavior. Hence in this study the major challenges of designing and creating an emotional speech corpus, are reviewed and some solutions are presented to solve text material challenges by using fuzzy approach.
Keywords :
data analysis; fuzzy set theory; speech processing; Persian semantic; Persian structure; data collection; emotional speech datasets; fuzzy emotional speech corpus; nondeterministic set; speech classification; speech recognition; text material design; Emotion recognition; Materials; Noise measurement; Speech; Speech recognition; US Department of Transportation; Emotional speech corpus; Fuzzy behavior; Fuzzy sets;
Conference_Titel :
Fuzzy Theory and Its Applications (iFUZZY), 2013 International Conference on
Conference_Location :
Taipei
DOI :
10.1109/iFuzzy.2013.6825469