JunBae Seo, “Current status, type, trend, and response implications of voice phishing,” Statistics Korea, 2022. https://kostat.go.kr/synap/skin/doc.html?fn=2f1b5a46a70ffa293ac2113cbd1b9635e28497f762079ae221b0d41b4129ca9d&rs=/synap/preview/board/12312/.

Sowoon Kim, Sungtaek Lee, “Development of Voice Phishing Damage Prevention Service Misusing Deep Voice,” The Journal of Korean Institute of Communications and Information Sciences, vol 47, no 10, pp. 1677-1685, 2022. DOI : 10.7840/kics.2022.47.10.1677.

Youngjun Sim, Jungyu Choi, Sungbin Im, “Synthetic Speech Classification based on Cascade Connection of CNN and MKDE Models,” Journal of the Institute of Electronics and Information Engineers, vol 60, no 2, pp. 94-101, 2023. DOI : 10.5573/ieie.2023.60.2.94.

JeongKyu Oh, “Acoustic Classification using Convolutional Neural Networks : Application to Beehive Sound,” Master's thesis, Chungbuk National University, 2021.

JungGuk Lee, “Deep learning based heart murmur detection using Mel Spectrogram and Peak Interval Feature of heartbeat sounds,” Master's thesis, Chungang University, 2023.

HyunSub Kim, “Sleep arousal detection model based on recurrent neural networks using MFCC as a feature vector,” Master's thesis, KAIST, 2019.

Kyeongsik Shin, Sinwoo Yoo, Hyukjun Oh, “Detection and Classification for Low-altitude Micro Drone with MFCC and CNN,” Journal of the Korea Institute of Information and Communication Engineering, vol 24, no 3, pp. 364-370, 2020.

R. Reimao, “SYNTHETIC SPEECH DETECTION USING DEEP NEURAL NETWORKS,” Master's thesis, York University, Toronto, Ontario, Canada, May, 2019.

YungHan Lee, “Speech/Audio Processing based on Deep Learning,” Broadcasting and Media Magazine, vol. 22, no. 1, pp. 46-57, 2017.

Jeong-Ho Shin, Jin-Young Lee, Seong-Weon Seo, Kyung-Ah Sohn, “Similarity analysis of fashion image with color, style, and pattern based on VGG-19 model and histogram,” The Korean Institute of Information Scientists and Engineers Conf., pp. 2101-2103, 2018.

Jae-Ho Kim, Jang-Young Kim, “Comparative analysis of performance of BI-LSTM and GRU algorithm for predicting the number of Covid-19 confirmed cases,” Journal of the Korea Institute of Information and Communication Engineering, vol 26, no 2, pp. 187-192, 2022.

Byeong-Uk Jeon, JiSoo Kang, Kyungyong Chung., “AutoML and CNN-based Soft-voting Ensemble Classification Model For Road Traffic Emerging Risk Detection,” Journal of Convergence for Information Technology, vol. 11, no. 7, pp. 14-20. 2021.