Embedded Asian Singer Gender Identification System Based on Singing Voice
Syahrul Budi Rahmadan, Barlian Henryranu Prasetio · 2023
Music is a work of art in the form of pitched vibrations that allow listeners to enjoy a work of art. In a piece of musical art there is a frequency, rhythm, tone, and most importantly the waves that we can hear. Identifying music using machine learning is a very important thing to do because it can make the music industry grow. Therefore, gender identification of singers is carried out in music, especially Asian music. By using MFCC for identification along with GMM for gender classification, a system is created that can carry out this classification with a low budget so that many people can take advantage of this feature. The Raspberry Pi 3 Model B+ is a low-power computer with a high level of mobility so that a gender identification system for singers' voices in Asian music using feature extraction of mel-frequency cepstral coefficients and gaussian mixture models can be implemented in the Raspberry Pi 3 Model B+.