While challenging, sound source separation is a task that has many practical applications in audio signal processing. In this paper three sound files with two sources in each were separated using the non-negative matrix factorization (NMF) approach, with and without sparseness constraints. The results showed that adding sparseness constraints had no effect when separating drums and bass guitar but had better performances when separating piano and drums, and piano and bass guitar.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.
The Engineering Briefs at this Convention were selected on the basis of a submitted synopsis, ensuring that they are of interest to AES members, and are not overly commercial. These briefs have been reproduced from the authors' advance manuscripts, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for their contents. Paper copies are not available, but any member can freely access these briefs. Members are encouraged to provide comments that enhance their usefulness.