Investigation of the effect of spectrogram images and different texture analysis methods on speech emotion recognition
Yazarlar (1)
Prof. Dr. Turgut ÖZSEVEN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Applied Acoustics (Q4) | ||
| Dergi ISSN | 0003-682X Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2018 |
| Cilt / Sayı / Sayfa | 142 / 1 / 70–77 | DOI | 10.1016/j.apacoust.2018.08.003 |
| Makale Linki | https://linkinghub.elsevier.com/retrieve/pii/S0003682X18300409 | ||
| Özet |
| Emotional state detection is an important part of human-machine interaction studies. The features used in emotion recognition are derived from the changes in facial mimics and speech signals. In emotion recognition from facial expressions, facial expressions are processed by image processing methods. If emotion recognition is performed via speech, speech is digitized by signal processing methods, and various features of speech are obtained by acoustic analysis. However, since the change in the features obtained by acoustic analysis is different according to emotion, the general success rate is changing. To overcome this limitation, the study of the effect of spectrogram images on emotional recognition is a current field of study. The purpose of this study is to investigate the effects of texture analysis methods and spectrogram images on speech emotion recognition. For this purpose, spectrogram images of … |
| Anahtar Kelimeler |
| Spectrogram | Speech emotion recognition | SVM | Texture analysis |
Science Direct
Investigation of the effect of spectrogram images and different texture analysis methods on speech emotion recognition
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 92 |
| Scopus | 21 |