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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM28327
Volume:
8 |
1 |
Jan 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Investigating the synergy between image captioning and audio integration, our study employs an advanced Encoder-Decoder framework. Integrating visual and auditory features, the model enhances caption precision. Through extensive experimentation, our results reveal a notable improvement in contextual understanding compared to conventional image captioning models. This research underscores the potential of multimodal approaches for enriching multimedia applications, particularly in contexts where comprehensive content comprehension and accessibility are paramount.
KEYWORDS
Publication Date
12/31/45315
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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