Source to artifacts ratio.
In order to quantify the performance of the proposed separation schemes, we utilized the SIR, source to distortion ratio (SDR) and source to artifacts ratio (SAR) criteria, proposed by Vincent et al. [60] and implemented as a Matlab toolbox [61].
The use of objective measures based on energy ratios between the signal components, i.e., source to distortion ratio (SDR), the source to interference ratio (SIR), the source to artifacts ratio (SAR) and the source image to spatial distortion ratio (ISR), has been the standard approach in the specialized scientific community to test the quality of extracted signals.
We also evaluated our method in terms of the signal-to-distortion ratio (SDR), the image-to-spatial distortion ratio (ISR), the source-to-interference ratio (SIR), and the source-to-artifacts ratio (SAR) [26].
signal-to-artifact ratio.
It gives three standard metrics for source separation: signal-to-distortion ratio (SDR), signal-to-interference ratio (SIR), and signal-to-artifact ratio (SAR) [33].
Three energy ratios, the source image to spatial distortion ratio (ISR), signal to interference ratio (SIR) and the signal to artifact ratio (SAR), then measure the amount of spatial distortion, interference and artifacts in the recovered source estimates.
Tables 1 and 2 (for 1- and 5-s sources, respectively) show the result of signal-to-distortion ratio (SDR), signal-to-interference ratio (SIR), and signal-to-artifact ratio (SAR), calculated as described in [40].
To compare different approaches, the signal-to-distortion ratio (SDR), the signal-to-artifact ratio (SAR), and the signal-to-interference ratio (SIR) are computed with each note as the target.
We evaluated the separation quality via the signal-to-distortion ratio (SDR), signal-to-interference ratio (SIR), signal-to-artifact ratio (SAR), and source image-to-spatial distortion ratio (ISR) criteria in decibels (dB) [37], which account respectively for overall distortion, residual crosstalk, musical noise, and target distortion.
The evaluation results measured by the metric signal-to-distortion ratio (SDR), signal-to-interference ratio (SIR), and signal-to-artifact ratio (SAR) demonstrate the effectiveness of the new method, improved primarily by the weighting function and the initialization based on IID, while demonstrating a decrease in computational costs, a significant problem with NTF.
