Comparative Study of Filter Performance for Separation of Singing Voice from Music Accompaniment

Abstract: An audio signal is a representation of sound. Audio signals have frequency range 20 to 20 kHz. Audio signals may be synthesized directly. A mixture refers to the physical combination of two or more substances on which the identities and are mixed in the form to separate out. An audio signal classification system should be able to categorize different audio input formats (speech, background noise, and music). Audio signal classification system analyzes the input audio signal and describes the signal at the output. These are used to characterize both music and speech signals. The categorization can be done on the basis of pitch, music content, music tempo and rhythm. From the comparative results it is observed that the wiener filter is better for noise reduction than others. We refer SEGSNR parameter for study because of its improved filter performance. Separating singing voice from music is very useful in many applications.

Keywords: music genre, mixture, audio signal classification, pitch, music tempo, music rhythm.