Comparing Two Methods Based on Time-Frequency Analysis to Estimate the Instantaneous Mixing Matrix in Blind Audio Source Separation
This paper explores the feasibility of using two methods, based on time-frequency analysis, to estimate the instantaneous mixing matrix in Blind Audio Source Separation applications. These methods are: 1) the LOST line orientation separation technique algorithm; and 2) a method based on histograms. They exploit sparsity and independency of sources, and what is of key importance, work properly for under-determined cases. The comparative study shows that only when a) the number of mixtures is small, and b) the number of mixture samples is low, the histogram-based approach works better than the LOST algorithm. In the remaining problems, the LOST algorithm performs better than the histogram-based one, and is especially useful when the system has sucient number of samples to obtain an estimate of the mixing matrix.
Click to purchase paper 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, $5 for AES members and is free for E-Library subscribers.