Lower ccc score on audio_egemaps_xbow feature

[FatDs-lrc]

I am trying to reproduce the results on your baseline paper of subtask CES.
I only use audio_egemaps_xbow feature extracted by the scripts you provided, and finish the experiment using the code of provided baseline system . But I got lower ccc score than the paper reported.
The followings are what I got, and all the ccc score is evaluated on development set.
Arousal:
DE+HU: 0.342 DE: 0.374 HU:0.231
Valence:
DE+HU: 0.274 DE: 0.373 HU: 0.058
Liking:
DE+HU: 0.191 DE: 0.151 HU: 0.232

And the following are the ccc scores reported on your baseline paper of BoAW-e(TABLE 7)
Arousal:
DE+HU: 0.398 DE: 0.434 HU: 0.291
Valence:
DE+HU: 0.352 DE: 0.455 HU: 0.135
Liking:
DE+HU: 0.138 DE: 0.003 HU: 0.253

Any suggestions about it?

[maxschmitt]

What you could try to do:

1. Have you compared the extracted features with those provided in the package of the challenge?
2. Have you run the experiments several times, changing the random seeds in lines 85/86 in the baseline script?