Causal-Aware Audio Transformer for Infant Cry Classification

This research explores the application of causal-aware audio transformers to the challenging task of infant cry classification, demonstrating domain-agnostic capabilities. The study's focus on causality could lead to more robust and explainable models for a crucial application in healthcare.

• •Applies transformer architectures to audio analysis.
• •Focuses on causal relationships within the audio data.
• •Addresses the practical problem of infant cry analysis.