The research presented in this paper automatically recognize a singer without separating instrumental and singing sounds using audio features like timbre coefficients, pitch class, mel frequency cepstral coefficients (MFCC), linear predictive coding (LPC) coefficients, and loudness of an audio signal from Indian video songs (IVS). One of the main disadvantages of the existing system is vocals and instrumental are separated manually and only vocals are used to build training model. Singer identification is a difficult topic in music information retrieval because background instrumental music is included with singing voice which reduces performance of a system. Singer identification using perceptual features and cepstral coefficients of an audio signal from Indian video songs Singer identification using perceptual features and cepstral coefficients of an audio signal from.
0 Comments
Leave a Reply. |