A critical insight into multi-languages speech emotion databases
Main Authors: | Asif Ahmad Qadri, Syed; International Islamic University Malaysia, Surya Gunawan, Teddy; International Islamic University Malaysia, Fahreza Alghifari, Muhammad; International Islamic University Malaysia, Mansor, Hasmah; International Islamic University Malaysia, Kartiwi, Mira; International Islamic University Malaysia, Janin, Zuriati; Universiti Teknologi MARA |
---|---|
Format: | Article info application/pdf eJournal |
Bahasa: | eng |
Terbitan: |
Institute of Advanced Engineering and Science
, 2019
|
Subjects: | |
Online Access: |
http://journal.portalgaruda.org/index.php/EEI/article/view/1894 http://journal.portalgaruda.org/index.php/EEI/article/view/1894/1353 |
Daftar Isi:
- With increased interest of human-computer/human-human interactions, systems deducing and identifying emotional aspects of a speech signal has emerged as a hot research topic. Recent researches are directed towards the development of automated and intelligent analysis of human utterances. Although numerous researches have been put into place for designing systems, algorithms, classifiers in the related field; however the things are far from standardization yet. There still exists considerable amount of uncertainty with regard to aspects such as determining influencing features, better performing algorithms, number of emotion classification etc. Among the influencing factors, the uniqueness between speech databases such as data collection method is accepted to be significant among the research community. Speech emotion database is essentially a repository of varied human speech samples collected and sampled using a specified method. This paper reviews 34 `speech emotion databases for their characteristics and specifications. Furthermore critical insight into the imitational aspects for the same have also been highlighted.