Singing Voice Separation Combining Panning Information and Pitch Tracking
Source Separation techniques applied to music mixtures are able to extract relevant nformation that can be very useful for many applications, such as music remixing and reprocessing, lyrics recognition or music information retrieval. Among all the sources present in modern music themes, singing voice has an especial interest because it is the only one that combines music, lyrics and expression. In this paper, we propose a system designed for extracting singing voice from stereo recordings in different steps. This system combines panning information and pitch tracking, allowing to refine the time-frequency mask applied for extracting a vocal segment, and thus, improving the separation. An application example is discussed.
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