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http://dx.doi.org/10.9723/jksiis.2022.27.6.001

A system for recommending audio devices based on frequency band analysis of vocal component in sound source  

Jeong-Hyun, Kim (대구대학교 대학원 IT융합공학과)
Cheol-Min, Seok (대구대학교 대학원 IT융합공학과)
Min-Ju, Kim (대구대학교 대학원 IT융합공학과)
Su-Yeon, Kim (대구대학교 컴퓨터정보공학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.27, no.6, 2022 , pp. 1-12 More about this Journal
Abstract
As the music streaming service and the Hi-Fi market grow, various audio devices are being released. As a result, consumers have a wider range of product choices, but it has become more difficult to find products that match their musical tastes. In this study, we proposed a system that extracts the vocal component from the user's preferred sound source and recommends the most suitable audio device to the user based on this information. To achieve this, first, the original sound source was separated using Python's Spleeter Library, the vocal sound source was extracted, and the result of collecting frequency band data of manufacturers' audio devices was shown in a grid graph. The Matching Gap Index (MGI) was proposed as an indicator for comparing the frequency band of the extracted vocal sound source and the measurement data of the frequency band of the audio devices. Based on the calculated MGI value, the audio device with the highest similarity with the user's preference is recommended. The recommendation results were verified using equalizer data for each genre provided by sound professional companies.
Keywords
Recommendation System; Vocal Extraction; Frequency Band Analysis; Audio Device Recommendation; Music Equalizer;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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