Speech emotion recognition using real time database
Supriya Bhagwan Jagtap
, Dr.Kamlakar R. Desai
Database, Feature Extraction, PCA, SVM Classifier.
People express their emotions in a different way but speech through emotion recognition is a very difficult task. This is a primary challenge of emotion recognition are choosing the speech corpora and then feature extraction of a speech signal. Emotion recognition or affect detection from the natural speech is a challenging task in the field of human and machine interaction. In this paper, the performance of the Support Vector Machine (SVM) has been evaluated for two types of databases – simulated (acted) and real-time (natural) speech corpora. In this paper, the work is carried out with a reduction in the size of the feature using Principle Component Analysis (PCA) technique and performance evaluation is done based on emotion classification accuracy.
"Speech emotion recognition using real time database ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 7, page no.1 - 6, July-2019, Available :https://ijsdr.org/papers/IJSDR1907001.pdf
Volume 4
Issue 7,
July-2019
Pages : 1 - 6
Paper Reg. ID: IJSDR_190764
Published Paper Id: IJSDR1907001
Downloads: 000347257
Research Area: Engineering
Country: kolhapur, maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
