SEPERATION OF MUSIC AND VOICE BASED ON REPEATING PATTERN

This algorithm depending on identifying the repeating pattern in music to separate the singing voice from the music. Consequently, this algorithm is highly sensitive to the repeating period of the music. Identifying the accurate repeating pattern is the core of the algorithm. As long as we could obtain the repeating period of a mixture, we could effectively filter the singing voice from the mixture audio. The disadvantage of this algorithm is that this algorithm still assigns some music in separated voice signal due to the reason that only the parts that have highly repeating pattern of music get separated. However, although this algorithm could not get 100% original voice signal, its advantage is still laudable. There is only averaged about 17.1% contamination by the other channel which keep in separated voice. The suppression reaches 5 : 1.71. Since our algorithm does not delve into the complex frameworks of music and it is applicable to most mixture audio, it has the advantage of fast, simple, blind and automatic.