Age Prediction from Korean Speech Data Using Neural Networks with Diverse Voice Features

• Published in: Applied sciences Vol. 15; no. 3; p. 1337
• Main Authors: Ku, Hayeon, Lee, Jiho, Lee, Minseo, Kim, Seulgi, Yoon, Janghyeok
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2025
• Subjects: Accuracy; Acoustics; Age groups; age prediction; Classification; Computational linguistics; convolutional neural network; Datasets; Deep learning; Fourier transforms; Language processing; Males; Natural language interfaces; Neural networks; Physiological aspects; speaker recognition; Speech; vision transformer; voice feature extraction; South Korea; New Jersey

A person’s voice serves as an indicator of age, as it changes with anatomical and physiological influences throughout their life. Although age prediction is a subject of interest across various disciplines, age-prediction studies using Korean voices are limited. The few studies that have been conduc...