Abstract
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. Key Words: Deep Learning, Natural Language Processing, Multi Modal Attention Mechanism, Image Captioning.
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