Research Article
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Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti

Year 2021, Volume 12, Issue 4, 581 - 589, 29.09.2021
https://doi.org/10.24012/dumf.1001914

Abstract

Konuşmada duygu tanıma İngilizce adıyla Speech emotion recognition (SER), duyguların konuşma sinyalleri aracılığıyla tanınması işlemidir. İnsanlar, iletişiminin doğal bir parçası olarak bu işlemi verimli bir şekilde yerine getirebilse de programlanabilir cihazlar kullanarak duygu tanıma işlemi hali hazırda devam eden bir çalışma alanıdır. Makinelerin de duyguları algılaması, onların insan gibi görünmesini ve davranmasını sağlayacağından dolayı, konuşmada duygu tanıma, insan-bilgisayar etkileşiminin gelişmesinde önemli bir rol oynar. Geçtiğimiz on yıl içerisinde çeşitli SER teknikleri geliştirilmiştir, ancak sorun henüz tam olarak çözülmemiştir. Bu makale, Evrişimsel Sinir Ağı (Convolutional neural networks -CNN) ve Uzun-Kısa Süreli Bellek (Long Short Term Memory-LSTM) olmak üzere iki derin öğrenme mimarisinin birleşimine dayanan bir konuşmada duygu tanıma tekniği önermektedir. CNN lokal öznitelik seçiminde etkinliğini gösterirken, LSTM büyük metinlerin sıralı işlenmesinde büyük başarı göstermiştir. Önerilen Evrişimsel LSTM (Convolutional LSTM – Co-LSTM) yaklaşımı, insan-makine iletişiminde etkili bir otomatik duygu algılama yöntemi oluşturmayı amaçlamaktadır. İlk olarak, Mel Frekansı Kepstrum Katsayıları (Mel Frequency Cepstral Coefficient- MFCC) kullanılarak önerilen yöntemde konuşma sinyalinden bir görüntüsel öznitelikler matrisi çıkarılır ve ardından bu matris bir boyuta indigenir. Sonrasında modelin eğitimi için öznitelik seçme ve sınıflandırma yöntemi olarak Co-LSTM kullanılır. Deneysel analizler, konuşmanın sekiz duygusunun tamamının RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) ve TESS (Toronto Emotional Speech Set) veri tabanlarından sınıflandırılması üzerine yapılmıştır. MFCC Spektrogram öznitelikleri kullanılarak Co-LSTM ile %86,7 doğruluk oranı elde edilmiştir. Elde edilen sonuçlar, önceki çalışmalar ve diğer iyi bilinen sınıflandırıcılarla karşılaştırıldığında önerilen algoritmanın etkinliğini ikna edici bir şekilde kanıtlamaktadır.

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Year 2021, Volume 12, Issue 4, 581 - 589, 29.09.2021
https://doi.org/10.24012/dumf.1001914

Abstract

References

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Details

Primary Language Turkish
Subjects Engineering, Multidisciplinary
Journal Section Articles
Authors

Ömer Faruk ÖZTÜRK (Primary Author)
İstanbul Gelişim Üniversitesi
0000-0003-1780-3152
Türkiye


Elham PASHAEİ This is me
İStanbul Gelişim Üniversitesi
0000-0001-7401-4964
Türkiye

Publication Date September 29, 2021
Published in Issue Year 2021, Volume 12, Issue 4

Cite

Bibtex @research article { dumf1001914, journal = {Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi}, issn = {1309-8640}, eissn = {2146-4391}, address = {DÜMF Mühendislik Dergisi, Koordinatörlük ve Yayın Bürosu, Dicle Üniversitesi, Mühendislik Fakültesi 21280, Diyarbakır- Türkiye}, publisher = {Dicle University}, year = {2021}, volume = {12}, pages = {581 - 589}, doi = {10.24012/dumf.1001914}, title = {Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti}, key = {cite}, author = {Öztürk, Ömer Faruk and Pashaei, Elham} }
APA Öztürk, Ö. F. & Pashaei, E. (2021). Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti . Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi , 12 (4) , 581-589 . DOI: 10.24012/dumf.1001914
MLA Öztürk, Ö. F. , Pashaei, E. "Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti" . Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 12 (2021 ): 581-589 <https://dergipark.org.tr/en/pub/dumf/issue/65099/1001914>
Chicago Öztürk, Ö. F. , Pashaei, E. "Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti". Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 12 (2021 ): 581-589
RIS TY - JOUR T1 - Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti AU - Ömer Faruk Öztürk , Elham Pashaei Y1 - 2021 PY - 2021 N1 - doi: 10.24012/dumf.1001914 DO - 10.24012/dumf.1001914 T2 - Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi JF - Journal JO - JOR SP - 581 EP - 589 VL - 12 IS - 4 SN - 1309-8640-2146-4391 M3 - doi: 10.24012/dumf.1001914 UR - https://doi.org/10.24012/dumf.1001914 Y2 - 2021 ER -
EndNote %0 Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti %A Ömer Faruk Öztürk , Elham Pashaei %T Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti %D 2021 %J Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi %P 1309-8640-2146-4391 %V 12 %N 4 %R doi: 10.24012/dumf.1001914 %U 10.24012/dumf.1001914
ISNAD Öztürk, Ömer Faruk , Pashaei, Elham . "Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti". Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 12 / 4 (September 2021): 581-589 . https://doi.org/10.24012/dumf.1001914
AMA Öztürk Ö. F. , Pashaei E. Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti. DUJE. 2021; 12(4): 581-589.
Vancouver Öztürk Ö. F. , Pashaei E. Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi. 2021; 12(4): 581-589.
IEEE Ö. F. Öztürk and E. Pashaei , "Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti", Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, vol. 12, no. 4, pp. 581-589, Sep. 2021, doi:10.24012/dumf.1001914