Audio Neural Fluid System

Description

This code proposes the implementaion of Audio Neural Fluid System (ANFS), a novel end-to-end architecture inspired by nonlinear fluid dynamics and self-organizing neural computation. ANFS processes raw audio signals through a fluidic interaction mechanism in which spectral–temporal features emerge dynamically via continuous information exchange, rather than explicit feature engineering. The model evolves adaptively without conventional backpropagation-based optimization, enabling efficient learning and improved robustness to noise and signal variability

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