EN
TR
EMOTION RECOGNITION STUDY BETWEEN DIFFERENT DATA SETS
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
Kaynakça
- Batliner A., Steidl S., Schüller B., Seppi D., Vogt T., Wagner J., Devillers L., Vidrascu L., Aharonson V., Kessous L. ve Amir N. (2009): “Whodunnit Searching for the Most Important Feature Types Signalling Emotion-Related User States in Speech: Appendix”, Preprint submitted to Elsevier 24 January 2010, Computer Speech and Language, doi:10.1016/j.csl.2009.12.003.
- Bhargava M., Polzehl T. (2012): “Improving Automatic Emotion Recognition From Speech Using Rhythm and Temporal Feature”, Proceedings of Icecit-2012 Published by Elsevier, s.139.
- Black A. W., Bunnel H. T., Dou Y., Kumar P., Metze F., Perry D., Polzehl T., Prahallad K., Steidl S. ve Vaughn C. (2011): “New Parameterization for Emotional Speech Synthesis”, CSLP Proc., Johns Hopkins Summer Workshop, Baltimore.
- Chavhan Y., Dhore M. L., Yesaware P. (2010): “Speech Emotion Recognition Using Support Vector Machine”, International Journal of Computer Applications (0975 - 8887), Cilt 1, No. 20.
- Eyben F., Wöllmer M., Schuller S. (2009): “openSMILE-The Munich Versatile and Fast Open- Source Audio Feature Extractor”, In Proc. ACM Multimedia (MM), ACM, Florence, Italy, ACM, ISBN 978-1-60558-933-6, pp. 1459-1462, doi:10.1145/1873951.1874246.
- Eyben F., Batliner A., Schuller B., Seppi D., Steidl S. (2010): "Cross-Corpus Classification of Realistic Emotions – Some Pilot Experiments”, In Proc. 7th Intern. Conf. on Language Resources and Evaluation (LREC 2010), Valletta, Elra, 2010.19.-21.05.2010.
- Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., Witten I. H. (2009): “The Weka data mining software: an update”. Sigkdd Explor. Newsl. Cilt 11, s.10–18.
- He L. (2010): “Stress and Emotion Recognition in Natural Speech in the Work and Family Environments”, PhD, Rmit University.
Ayrıntılar
Birincil Dil
Türkçe
Konular
-
Bölüm
-
Yayımlanma Tarihi
1 Eylül 2014
Gönderilme Tarihi
1 Eylül 2014
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2014 Cilt: 16 Sayı: 48
APA
Parlak, C., & Diri, B. (2014). FARKLI VERİ SETLERİ ARASINDA DUYGU TANIMA ÇALIŞMASI. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 16(48), 21-29. https://izlik.org/JA78GY75XM
AMA
1.Parlak C, Diri B. FARKLI VERİ SETLERİ ARASINDA DUYGU TANIMA ÇALIŞMASI. DEUFMD. 2014;16(48):21-29. https://izlik.org/JA78GY75XM
Chicago
Parlak, Cevahir, ve Banu Diri. 2014. “FARKLI VERİ SETLERİ ARASINDA DUYGU TANIMA ÇALIŞMASI”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 16 (48): 21-29. https://izlik.org/JA78GY75XM.
EndNote
Parlak C, Diri B (01 Eylül 2014) FARKLI VERİ SETLERİ ARASINDA DUYGU TANIMA ÇALIŞMASI. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 16 48 21–29.
IEEE
[1]C. Parlak ve B. Diri, “FARKLI VERİ SETLERİ ARASINDA DUYGU TANIMA ÇALIŞMASI”, DEUFMD, c. 16, sy 48, ss. 21–29, Eyl. 2014, [çevrimiçi]. Erişim adresi: https://izlik.org/JA78GY75XM
ISNAD
Parlak, Cevahir - Diri, Banu. “FARKLI VERİ SETLERİ ARASINDA DUYGU TANIMA ÇALIŞMASI”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 16/48 (01 Eylül 2014): 21-29. https://izlik.org/JA78GY75XM.
JAMA
1.Parlak C, Diri B. FARKLI VERİ SETLERİ ARASINDA DUYGU TANIMA ÇALIŞMASI. DEUFMD. 2014;16:21–29.
MLA
Parlak, Cevahir, ve Banu Diri. “FARKLI VERİ SETLERİ ARASINDA DUYGU TANIMA ÇALIŞMASI”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, c. 16, sy 48, Eylül 2014, ss. 21-29, https://izlik.org/JA78GY75XM.
Vancouver
1.Cevahir Parlak, Banu Diri. FARKLI VERİ SETLERİ ARASINDA DUYGU TANIMA ÇALIŞMASI. DEUFMD [Internet]. 01 Eylül 2014;16(48):21-9. Erişim adresi: https://izlik.org/JA78GY75XM