Nowadays human activities are more associated with machine. Machines had invaded into all human day today activities. Musical instruments were once played with the help of humans slowly by the years it has transformed largely machines have started occupying the role of human. The machine are programmed to identify and replicate the sound produced by musical instruments. This paper deals in recognizing output of various musical instruments like string, wind, percussion and keyboard music with the help of technology available in reading out unique audio signal quality. The acoustic features of musical instruments are classified into such as LPC (Linear Prediction Coefficients), LPCC (Linear Prediction Cepstral Coefficients), and MFCC (Mel Frequency Cepstral Coefficients) are to be extracted for constructing a music instrument classification system. Each instruments outputs are analyzed with its audio signal. This paper aims to study the musical instruments classification based on selected features.