SEPARATION OF MUSICAL NOTES OF DRUM,BASS,GUITAR AND VOCALS MELODY USING NON-NEGATIVE TECHNIQUE

Recently, Musical Notes separation of Musical signals source has been a focused research topic in digital signal processing particularly, in Music signal processing. The proposed Non-Negative decomposition method for the separation of musical notes from input recorded.wav file. The method is easy to execute, mathematically efficient. The proposed methodology contains the input.wav file is first transformed into time- frequency representation which is responsible for the generation of spectrogram which includes generation of windows with the help of sampling techniques. Afterwards, transformation of spectrogram into matrix form containing all non-negative elements, that why it is termed non-negative decomposition. Then by means of filtering or clustering technique it is possible to separate notes of musical sources and to recover the musical notes of respective musical source. Musical Notes separation has a lot of applications including speech recognition, Music up-mixing,music transcription, remixing and content creation, karaoke systems,Audio post-production and re-mastering, Spatial audio and upmixing, Denoising (Separate noise speech, tools for remixing for disc jockeys or producers, (Remove background music from music, Remove bleed from other instruments) , instrument-wise equalizing and preprocessing in music analysis tasks