1. A method of detecting music in a speech signal having a plurality of frames, said method comprising: obtaining one or more first pitch correlation candidates from a first frame of said plurality of frames; obtaining one or more second pitch correlation candidates from a second frame of said plurality of frames; selecting a pitch correlation (Rp) from said one or more first pitch correlation candidates and said one or more second pitch correlation candidates; defining a music threshold value for said pitch correlation (Rp); defining a background noise threshold value for said pitch correlation (Rp); defining an unsure threshold value for said pitch correlation (Rp), wherein said unsure threshold value falls between said music threshold value and said background noise threshold value; wherein if said pitch correlation (Rp) does not fall between said music threshold value and said background noise threshold value, classifying said speech signal as music if said pitch correlation (Rp) is in closer range of said music threshold value than said unsure threshold value; and classifying said speech signal as background noise if said pitch correlation (Rp) is in closer range of said background noise threshold value than said unsure threshold value; wherein if said pitch correlation (Rp) falls between said music threshold value and said background noise threshold value, classifying said speech signal as music or background noise based on analyzing a plurality of pitch correlations (Rps) extracted from said plurality of frames.