AI Enhances Underwater Acoustic Target Recognition with Graph Embedding
Analysis
This ArXiv paper explores a novel application of graph embedding techniques combined with Mel-spectrograms for improved underwater acoustic target recognition. The research aims to enhance the accuracy and efficiency of identifying objects in aquatic environments using AI.
Key Takeaways
- •Applies graph embedding to acoustic data for target identification.
- •Utilizes Mel-spectrograms for feature extraction from underwater sounds.
- •Focuses on improving the accuracy of underwater object recognition.
Reference
“The paper focuses on using graph embedding with Mel-spectrograms for underwater acoustic target recognition.”