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\begin{document}
\begin{table}
\centering
\begin{adjustbox}
{max width=\textwidth}
\begin{tabular}{lccccc}
\toprule & \multicolumn{2}{c}{ EmoV} & \multicolumn{2}{c}{ Expresso} \\
& Avg. Cosine & Vendi score & Avg. Cosine & Vendi score \\
\midrule

SoundStream & \hphantom{-}0.137 (± 0.573) & \hphantom{-}0.714 (± 0.250) & \hphantom{-}0.357 (± 0.383) & \hphantom{-}0.495 (± 0.348) \\
Wav2vec-BERT & \hphantom{-}0.682 (± 0.182) & \hphantom{-}0.594 (± 0.080) & \hphantom{-}0.668 (± 0.170) & \hphantom{-}0.705 (± 0.070) \\
HuBERT & \hphantom{-}0.785 (± 0.148) & \hphantom{-}0.683 (± 0.088) & \hphantom{-}0.725 (± 0.154) & \hphantom{-}0.725 (± 0.064) \\
SpeechSim & \hphantom{-}0.809 (± 0.200) & \hphantom{-}0.823 (± 0.193) & \hphantom{-}0.739 (± 0.249) & \hphantom{-}0.864 (± 0.128) \\
\midrule Trained from scratch & \hphantom{-}0.991 (± 0.020) & \hphantom{-}0.962 (± 0.051) & \hphantom{-}\underline{0.998} (± 0.008) & \hphantom{-}0.988 (± 0.018) & \\
Trained from scratch/Expresso & \hphantom{-}0.498 (± 0.250) & \hphantom{-}0.513 (± 0.274) & - & - \\
Trained from scratch/EmoV & - & - & \hphantom{-}0.247 (± 0.562) & \hphantom{-}0.251 (± 0.512) \\
SpeechSim/Emotion & \hphantom{-}\textbf{0.995} (± 0.016) & \hphantom{-}\underline{0.993} (± 0.019) & \hphantom{-}\textbf{0.999} (± 0.007) & \hphantom{-}0.987 (± 0.017) \\
\midrule

SpeechSim/Emotion-Expresso & \hphantom{-}0.641 (± 0.279) & \hphantom{-}0.709 (± 0.243) & - & - \\
SpeechSim/Emotion-EmoV & - & - & \hphantom{-}0.273 (± 0.465) & \hphantom{-}0.321 (± 0.464) \\
\bottomrule
\end{tabular}
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\caption{Table 3 : Emotion diversity. Average Spearman correlations between the
classes entropy in EmoV and Expresso and diversity scores induced by the speech
representations. SpeechSim/Emotion-Expresso (resp. Speech/Emotion-EmoV) refers
to SpeechSim emotion head trained on Expresso (resp. EmoV). \%Best results
are in bold, second best results are underlined.}
\end{table}
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