From: AAM: a dataset of Artificial Audio Multitracks for diverse music information retrieval tasks
Measure | Kla99 | Librosa | MIRtoolbox |
---|---|---|---|
\(F_{\textrm{A}}\) | 0.224 | 0.787 | 0.515 |
\(P_{\textrm{A}}\) | 0.228 | 0.834 | 0.473 |
\(R_{\textrm{A}}\) | 0.226 | 0.752 | 0.582 |
\(F_{\textrm{S}}\) | 0.105 | 0.821 | 0.424 |
\(P_{\textrm{S}}\) | 0.095 | 0.861 | 0.355 |
\(R_{\textrm{S}}\) | 0.122 | 0.796 | 0.552 |
\(F_{\textrm{M}}\) | 0.196 | 0.793 | 0.506 |
\(P_{\textrm{M}}\) | 0.192 | 0.841 | 0.459 |
\(R_{\textrm{M}}\) | 0.205 | 0.762 | 0.577 |
\(F_{\textrm{F}}\) | 0.333 | 0.742 | 0.599 |
\(P_{\textrm{F}}\) | 0.369 | 0.806 | 0.596 |
\(R_{\textrm{F}}\) | 0.311 | 0.702 | 0.611 |
\(F_{\textrm{D}}\) | 0.222 | 0.804 | 0.517 |
\(P_{\textrm{D}}\) | 0.223 | 0.830 | 0.480 |
\(R_{\textrm{D}}\) | 0.225 | 0.782 | 0.575 |
\(F_\mathrm {\overline{D}}\) | 0.228 | 0.673 | 0.522 |
\(P_\mathrm {\overline{D}}\) | 0.258 | 0.851 | 0.473 |
\(R_\mathrm {\overline{D}}\) | 0.218 | 0.603 | 0.625 |