alabnii/sciclaimeval-shared-task huggingface dataset:
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\toprule & \multicolumn{2}{c}{Male} & \multicolumn{2}{c}{Female} \\
& Avg. Cosine & Vendi score & Avg. Cosine & Vendi score & \\
\midrule

SoundStream & \ \hphantom{-}0.544 (± 0.312) & \ \hphantom{-}0.759 (± 0.175) & \ \hphantom{-}0.234 (± 0.426) & \ \hphantom{-}0.731 (± 0.284) \\
Wav2vec-BERT & \ -0.448 (± 0.194) & \ -0.419 (± 0.193) & \ -0.118 (± 0.258) & \ -0.094 (± 0.245) \\
HuBERT & \ \ -0.575 (± 0.094) & \ -0.447 (± 0.202) & \ -0.178 (± 0.291) & \ \hphantom{-}0.007 (± 0.321) \\
SpeechSim & \ \hphantom{-}0.811 (± 0.074) & \ \hphantom{-}\textbf{1.000} (± 0.000) & \ \hphantom{-}0.834 (± 0.073) & \ \hphantom{-}\textbf{1.000} (± 0.000) \\
\midrule Trained from scratch & \ \hphantom{-}0.480 (± 0.200) & \ \hphantom{-}0.962 (± 0.044) & \ \hphantom{-}0.666 (± 0.200) & \ \hphantom{-}\underline{0.963} (± 0.053) \\
SpeechSim/Voice & \ \hphantom{-}0.823 (± 0.063) & \ \hphantom{-}\underline{0.993} (± 0.019) & \ \ \hphantom{-}0.881 (± 0.077) & \ \hphantom{-}\textbf{1.000} (± 0.000) \\
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\caption{Table 1 : Voice diversity. Average Spearman correlations ($\pm$
standard error) between number of distinct speakers and diversity scores induced
by speech representations. Male (Female) refer to samples with male-only (female-only)
voices. Best results are in bold, second best results are underlined.}
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