5 papers
Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification
Amirmohammad Mohammadi, Davelle Carreiro, Alexandra Van Dine +1
Parameter-efficient transfer learning (PETL) methods adapt large artificial neural networks to downstream tasks without fine-tuning the entire model. However, existing additive met…
Neural Edge Histogram Descriptors for Underwater Acoustic Target Recognition
Atharva Agashe, Davelle Carreiro, Alexandra Van Dine +1
Numerous maritime applications rely on the ability to recognize acoustic targets using passive sonar. While there is a growing reliance on pre-trained models for classification tas…
Structural and Statistical Audio Texture Knowledge Distillation for Acoustic Classification
Jarin Ritu, Amirmohammad Mohammadi, Davelle Carreiro +2
While knowledge distillation has shown success in various audio tasks, its application to environmental sound classification often overlooks essential low-level audio texture featu…
Investigation of Time-Frequency Feature Combinations with Histogram Layer Time Delay Neural Networks
Amirmohammad Mohammadi, Iren'e Masabarakiza, Ethan Barnes +3
While deep learning has reduced the prevalence of manual feature extraction, transformation of data via feature engineering remains essential for improving model performance, parti…
Histogram Layer Time Delay Neural Networks for Passive Sonar Classification
Jarin Ritu, Ethan Barnes, Riley Martell +2
Underwater acoustic target detection in remote marine sensing operations is challenging due to complex sound wave propagation. Despite the availability of reliable sonar systems, t…