@article{ART002889738},
author={Sun-Hee Han and Kyu-Cheol Cho},
title={Gender Classification of Speakers Using SVM},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={10},
pages={59-66},
doi={10.9708/jksci.2022.27.10.059}
TY - JOUR
AU - Sun-Hee Han
AU - Kyu-Cheol Cho
TI - Gender Classification of Speakers Using SVM
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 10
PB - The Korean Society Of Computer And Information
SP - 59
EP - 66
SN - 1598-849X
AB - This research conducted a study classifying gender of speakers by analyzing feature vectors extracted from the voice data. The study provides convenience in automatically recognizing gender of customers without manual classification process when they request any service via voice such as phone call.
Furthermore, it is significant that this study can analyze frequently requested services for each gender after gender classification using a learning model and offer customized recommendation services according to the analysis. Based on the voice data of males and females excluding blank spaces, the study extracts feature vectors from each data using MFCC(Mel Frequency Cepstral Coefficient) and utilizes SVM(Support Vector Machine) models to conduct machine learning. As a result of gender classification of voice data using a learning model, the gender recognition rate was 94%.
KW - Feature vectors;Voice;Classification;Mel frequency cepstral coefficient;Support vector machine
DO - 10.9708/jksci.2022.27.10.059
ER -
Sun-Hee Han and Kyu-Cheol Cho. (2022). Gender Classification of Speakers Using SVM. Journal of The Korea Society of Computer and Information, 27(10), 59-66.
Sun-Hee Han and Kyu-Cheol Cho. 2022, "Gender Classification of Speakers Using SVM", Journal of The Korea Society of Computer and Information, vol.27, no.10 pp.59-66. Available from: doi:10.9708/jksci.2022.27.10.059
Sun-Hee Han, Kyu-Cheol Cho "Gender Classification of Speakers Using SVM" Journal of The Korea Society of Computer and Information 27.10 pp.59-66 (2022) : 59.
Sun-Hee Han, Kyu-Cheol Cho. Gender Classification of Speakers Using SVM. 2022; 27(10), 59-66. Available from: doi:10.9708/jksci.2022.27.10.059
Sun-Hee Han and Kyu-Cheol Cho. "Gender Classification of Speakers Using SVM" Journal of The Korea Society of Computer and Information 27, no.10 (2022) : 59-66.doi: 10.9708/jksci.2022.27.10.059
Sun-Hee Han; Kyu-Cheol Cho. Gender Classification of Speakers Using SVM. Journal of The Korea Society of Computer and Information, 27(10), 59-66. doi: 10.9708/jksci.2022.27.10.059
Sun-Hee Han; Kyu-Cheol Cho. Gender Classification of Speakers Using SVM. Journal of The Korea Society of Computer and Information. 2022; 27(10) 59-66. doi: 10.9708/jksci.2022.27.10.059
Sun-Hee Han, Kyu-Cheol Cho. Gender Classification of Speakers Using SVM. 2022; 27(10), 59-66. Available from: doi:10.9708/jksci.2022.27.10.059
Sun-Hee Han and Kyu-Cheol Cho. "Gender Classification of Speakers Using SVM" Journal of The Korea Society of Computer and Information 27, no.10 (2022) : 59-66.doi: 10.9708/jksci.2022.27.10.059
