Determining efficiency of speech feature groups in emotion detection [Ses özni·teli·k gruplarinin duygu tespi·ti·nde etki·nli·kleri·ni·n beli·rlenmesi·]
Küçük Resim Yok
Tarih
2007
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Features, extract from speech parameter are frequently used in emotion detection problem. Prosodic, MFCC, LPC and band energy feature groups are commonly used in literature to detect emotion in speech. The aim of the study is to examine the efficiency of these features groups in emotion detection problem using a SVM classifier.
Açıklama
2007 IEEE 15th Signal Processing and Communications Applications, SIU -- 11 June 2007 through 13 June 2007 -- Eskisehir -- 73089
Anahtar Kelimeler
Kaynak
2007 IEEE 15th Signal Processing and Communications Applications, SIU
WoS Q Değeri
Scopus Q Değeri
N/A
