DocumentCode :
3026400
Title :
A study on emotional feature extraction and analysis in speech
Author :
Chen, Yanxiang ; Wu, Xi
Author_Institution :
Sch. of Comput. Sci. & Inf., Hefei Univ. of Technol., Hefei, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
3374
Lastpage :
3377
Abstract :
Analyses the features of the time, amplitude, fundamental frequency and formant constructions involving 5 emotions as happiness, anger, surprise, sorrow and neutrality. Through speech parameters extracted from emotional database of German, this paper sums up the distribution laws of emotional features of different emotional speech signal and presents practically theoretical data for processing and recognition of emotional speech.
Keywords :
emotion recognition; feature extraction; speech recognition; amplitude; anger; emotional database; emotional feature extraction; emotional speech processing; emotional speech recognition; emotional speech signal; fundamental frequency; happiness; neutrality; sorrow; speech analysis; speech parameter; surprise; time; Databases; Emotion recognition; Feature extraction; Speech; Speech processing; Speech recognition; Time frequency analysis; amplitude construction; emotional feature; formant construction; fundamental frequency construction; time construction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6001876
Filename :
6001876
Link To Document :
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