Before revision:  The extensive experiments showed that the proposed approach significantly outperforms the state-of-art approaches on RECOLA and DAIC-WOZ databases. The competitive results call for applying EmoAudioNet on others affects and emotions recognition from speech applications .
After revision:  The extensive experiments showed that the proposed approach significantly outperforms previous works in the literature in both datasets .