Evaluation of the Effect of Frame Size on Speech Emotion Recognition
Yazarlar (1)
Prof. Dr. Turgut ÖZSEVEN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| DOI Numarası | 10.1109/ISMSIT.2018.8567303 | ||
| Kongre Adı | 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (IEEE Xplore) | ||
| Kongre Tarihi | 19-10-2018 / 21-10-2018 | ||
| Basıldığı Ülke | Türkiye | Basıldığı Şehir | Ankara |
| Bildiri Linki | https://ieeexplore.ieee.org/document/8567303 | ||
| UAK Araştırma Alanları |
Makine Öğrenmesi
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| Özet |
| Speech emotion recognition aims to determine the emotional state in people by processing the speech with digital signal processing methods. Speech emotion recognition is influenced by many factors such as the language, the demographic characteristics of the participants, and the signal processing methods used. By pre-processing the speech signals before emotion recognition, the signal is improved and the recognition performance is being increased. The framing involved in preprocessing methods is the division of the speech signal into small pieces. In this study, we investigated the effect of the frame size used in framing on the emotion recognition. In addition, the most appropriate frame size for the most commonly used datasets in the literature has been determined. According to the results obtained, the frame size to be used differs according to the dataset used. Furthermore, even the 1ms difference in … |
| Anahtar Kelimeler |
| acoustic analysis | frame size | framing | speech emotion recognition |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 6 |
| Google Scholar | 12 |