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A Survey on: Sound Source Separation Methods

Ms. Monali R. Pimpale, Prof. Shanthi Therese , Prof. Vinayak Shinde,

Affiliations
Department of Computer Engineering, Mumbai University, Shree L.R. Tiwari College of Engineering and Technology,Mira Road, India.
:under process


Abstract
now a day’s multimedia databases are growing rapidly on large scale. For the effective management and exploration of large amount of music data the technology of singer identification is developed. With the help of this technology songs performed by particular singer can be clustered automatically. To improve the Performance of singer identification the technologies are emerged that can separate the singing voice from music accompaniment. One of the methods used for separating the singing voice from music accompaniment is non-negative matrix partial co factorization. This paper studies the different techniques for separation of singing voice from music accompaniment.


Citation
Monali R. Pimpale," A Survey on: Sound Source Separation Methods”, International Journal of Computer Engineering In Research Trends, 3(11):580-584,November-2016


Keywords : singer identification, non-negative matrix partial co factorization

References
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