Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
Table 2: Performance of the cross-modal attention model with various audio features.
['Features', 'BLEU-4', 'METEOR', 'ROUGE-L', 'CIDEr']
Evidently, the deep VGGish audio features work better than the hand-crafted MFCC audio features for the video captioning task. Besides, it also shows the importance of understanding and describing a video with the help of audio features.