2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2022
DOI: 10.23919/apsipaasc55919.2022.9980242
|View full text |Cite
|
Sign up to set email alerts
|

Automated Audio Captioning with Epochal Difficult Captions for curriculum learning

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 12 publications
0
2
0
Order By: Relevance
“…Epochal Difficult Captions with Curriculum Learning [30] In the 3rd study, we analyse the effectiveness of scheduling data and gradually introducing harder samples for Automated Audio Captioning. This method influences the generation quality and learning of the captioning model by presenting the training captions in a way that builds upon the model's existing knowledge and skills from previous training epochs.…”
Section: Reconstruction Latent Space Similarity Regularization (Rlssr...mentioning
confidence: 99%
See 1 more Smart Citation
“…Epochal Difficult Captions with Curriculum Learning [30] In the 3rd study, we analyse the effectiveness of scheduling data and gradually introducing harder samples for Automated Audio Captioning. This method influences the generation quality and learning of the captioning model by presenting the training captions in a way that builds upon the model's existing knowledge and skills from previous training epochs.…”
Section: Reconstruction Latent Space Similarity Regularization (Rlssr...mentioning
confidence: 99%
“…In the third study published at APSIPA 2022 [30] for Automated Audio Captioning, Epochal Difficult Captions with Curriculum Learning is proposed to analyse the effectiveness of scheduling data and to introduce samples with a difficulty level relative to the epoch. This method improves the generation quality and involves presenting the training captions in a manner that leverages the model's existing knowledge and skills from prior training epochs, inspired by models trained on a curriculum to accomplish mathematical proving [25].…”
Section: Epochal Difficult Captions With Curriculum Learningmentioning
confidence: 99%