NOaa

Acoustic Manifold Transformation derived from long-form, deep-sea hydrophone audio provided by the NOAA Passive Bioacoustic program. By processing 3-hour audio files into sequential 1-minute waveform segments and passing them through a spatial-geometric filter, the dataset translates raw acoustic pressure fluctuations into a structured 12-dimensional vector space $(t, x, y, z, R, G, B, N_x, N_y, N_z, d, \theta)$. Instead of mapping geographic positions, the spatial coordinates $(x, y)$ establish a localized time-versus-displacement grid for each frame, while the vertical axis $(z)$ represents instantaneous acoustic energy. Downstream calculated metrics, such as surface normals ($N$) and theta angles ($\theta$), allow the engine to perform real-time pattern recognition—mathematically isolating high-energy, continuous anthropogenic noise (like ship engines) as stable "acoustic ridges" and transient biological signals (like whale vocalizations) as sharp geometric fractures against the ocean's ambient background baseline.