CIDEr: 0.489SPIDEr: 0.312SPICE: 0.134BLEU-4: 17.4
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Audio captioning
Audio Captioning is the task of describing audio using text. The general approach is to use an audio encoder to encode the audio (example: PANN, CAV-MAE), and to use a decoder (example: transformer) to generate the text. To judge the quality of audio captions, though machine translation metrics (BLEU, METEOR, ROUGE) and image captioning metrics (SPICE, CIDER) are used, they are not very well-suited. Attempts have been made to use pretrained language model based metrics such as Sentence-BERT.
논문
CIDEr: 0.8029SPIDEr: 0.4954SPICE: 0.1879METEOR: 0.2554
CIDEr: 0.823SPIDEr: 0.510SPICE: 0.197METEOR: 0.269
CIDEr: 0.513SPIDEr: 0.330SPICE: 0.147METEOR: 0.197
CIDEr: 0.496SPIDEr: 0.319SPICE: 0.143BLEU-4: 18.1
CIDEr: 0.515SPIDEr: 0.332SPICE: 0.148METEOR: 0.197
CIDEr: 0.423BLEU-4: 16.2METEOR: 17.4ROUGE-L: 38.2
CIDEr: 0.519BLEU-4: 19METEOR: 19.3ROUGE-L: 40.8
CIDEr: 0.693SPIDEr: 0.426SPICE: 0.159
CIDEr: 0.18
CIDEr: 0.593SPIDEr: 0.369SPICE: 0.144
CIDEr: 0.753SPIDEr: 0.465SPICE: 0.176
CIDEr: 0.755SPIDEr: 0.466SPICE: 0.177
CIDEr: 0.849SPIDEr: 0.517SPICE: 0.185BLEU-4: 0.297
CIDEr: 0.441SPIDEr: 0.288SPICE: 0.136
CIDEr: 0.764SPIDEr: 0.472SPICE: 0.180BLEU-4: 0.285
CIDEr: 0.832SPIDEr: 0.507SPICE: 0.182METEOR: 0.253
CIDEr: 0.400SPIDEr: 0.318SPICE: 0.137
CIDEr: 0.319SPIDEr: 0.207SPICE: 0.094
CIDEr: 0.468SPIDEr: 0.295SPICE: 0.123