alabnii/sciclaimeval-shared-task huggingface dataset:
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\begin{table}
\centering
\begin{tabular}{lcccccc}
\toprule & Avg. Cosine & Vendi score \\
\midrule SoundStream & \hphantom{-}0.141 (± 0.390) & \hphantom{-}0.265 (± 0.433) \\
Wav2vec-BERT & -0.014 (± 0.417) & -0.070 (± 0.452) \\
HuBERT & \hphantom{-}0.218 (± 0.356) & \hphantom{-}\textbf{0.531} (± 0.332) \\
SpeechSim & \hphantom{-}0.254 (± 0.309) & \hphantom{-}0.466 (± 0.322) \\
\midrule

Trained from scratch & \hphantom{-}0.116 (± 0.359) & \hphantom{-}\underline{0.469} (± 0.413) \\
SpeechSim/Noise & \hphantom{-}0.173 (± 0.355) & \hphantom{-}0.355 (± 0.404) \\
\bottomrule
\end{tabular}
\caption{Table 5 : Background noise diversity. Average Spearman correlations
between the number of different classes of noise and diversity scores induced
by speech representations.}
\end{table}
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