SPeech ACoustic (SPAC): A novel tool for speech feature extraction and classification
Yazarlar (2)
Prof. Dr. Turgut ÖZSEVEN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Muharrem Düğenci Karabük 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 | 02-2018 |
| Cilt / Sayı / Sayfa | 136 / 1 / 1–8 | DOI | 10.1016/j.apacoust.2018.02.009 |
| Makale Linki | http://linkinghub.elsevier.com/retrieve/pii/S0003682X18300070 | ||
| Özet |
| Background and objectiveThe acoustic analysis, an objective evaluation method, is used to determine the descriptive attributes of the voices. Although there are many tools available in the literature for acoustic analysis, these tools are separated by features such as ease of use, visual interface, and acoustic parameter library. In this work, we have developed a new toolbox named SPAC for extracting and simulating attributes from speech files.MethodsSPAC has a modular structure and user-friendly interface, which will make up for the shortcomings of existing vehicles. In addition, modules can be used independently of each other. With SPAC, about 723 attributes can be extracted from each voice file in 9 categories. A validation test was applied to verify the validity of the toolbox-derived attributes. When the validation test was performed, the attributes obtained with Praat and OpenSMILE were grouped as standard … |
| Anahtar Kelimeler |
| Speech classification | Speech feature extraction | Speech processing toolbox | Speech toolbox |
Science Direct
SPeech ACoustic (SPAC): A novel tool for speech feature extraction and classification
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 35 |
| Scopus | 8 |