Correctness speaker ranking¶
w2v2-L |
hubert-L |
wavlm |
data2vec |
|
|---|---|---|---|---|
Overall Score |
100.0% passed tests (2 passed / 0 failed). |
100.0% passed tests (2 passed / 0 failed). |
100.0% passed tests (2 passed / 0 failed). |
100.0% passed tests (2 passed / 0 failed). |
Spearmans Rho¶
Data |
Spearmans Rho |
|||
|---|---|---|---|---|
w2v2-L |
hubert-L |
wavlm |
data2vec |
|
msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard |
0.93 |
0.94 |
0.97 |
0.95 |
msppodcast-2.6.1-emotion.dimensions.test-2.gold_standard |
0.90 |
0.87 |
0.86 |
0.88 |
mean |
0.92 |
0.91 |
0.92 |
0.92 |
Visualization¶
The plots visualize the precision of predicting speakers to be in the Top 25% or Bottom 25% of all speakers. Green dots indicate correctly classified speakers, red false positive speakers, whereby red squares indicate confusions between Top 25% and Bottom 25% speakers. The remaining grey data points are samples outside the range of interest. They contain false negatives that should have been predicted in the Top 25% or Bottom 25% of speakers, but were not. True negatives are those speakers that are not part of the Top 25% or Bottom 25%, and were predicted as such.
w2v2-L |
hubert-L |
wavlm |
data2vec |
|---|---|---|---|
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