EMOTION RECOGNITION STUDY BETWEEN DIFFERENT DATA SETS

Yıl 2014, Cilt: 16 Sayı: 48, 21 - 29, 01.09.2014

Cevahir Parlak , Banu Diri

Öz

Speaking is the most important communication tool between people. By speaking people
can transfer not only their thoughts but also their feelings to each other, too. When speaking
we can estimate the conception, feeling, gender and age of the person we are talking to. In this
study, a new sense of a data set called EmoSTAR is presented and cross tests with Berlin
emotions data set is made. In the cross-test, one of the data set is used as training set while the
other data set is used as test set. Additionally, in the study the performance of feature selector
has been also examined. For feature extraction MFCC number is increased from 12 to 24 in
openSMILE Emobase and Emo_large configurations and also developed by adding the
Harmonic-to-Noise-Ratio features. The feature selection and classification is made by the Weka
tool. EmoSTAR is currently under development for more emotion and sample type

Anahtar Kelimeler

Cross-corpus emotion analysis, Emotion mining, Prosody, EmoDB, EmoSTAR

FARKLI VERİ SETLERİ ARASINDA DUYGU TANIMA ÇALIŞMASI

Öz

İnsanlar arasındaki en önemli iletişim aracı konuşmadır. Konuşma ile insanlar birbirlerine
sadece düşüncelerini değil duygularını da aktarabilirler. Konuşma ile karşımızdaki kişinin
düşüncesini, duygusunu, cinsiyetini ve yaşını da tahmin edebilir. Bu çalışmada EmoSTAR adlı
yeni bir duygu veri seti sunulmuş ve Berlin Duygu Veri seti ile çapraz testler yapılmıştır. Çapraz
testlerde, setlerden biri eğitim diğeri test seti olarak kullanılmıştır. Ayrıca, çalışmada özellik
seçicilerin performansı da incelenmiştir. Özellik çıkarımı için openSMILE Emobase ve
Emo_large konfigürasyonlarında MFCC sayısı 12’den 24’e çıkartılarak ve Harmonik Gürültü
Oranı özellikleri eklenerek gerçekleştirilmiştir. Özellik seçme ve sınıflandırma ise Weka
aracıyla yapılmıştır. EmoSTAR halen daha fazla duygu türü ve örnek için geliştirilme
aşamasındadır.

Anahtar Kelimeler

Çok setli duygu analizi, Duygu madenciliği, Prozodi, EmoDB, EmoSTAR

Kaynakça

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