Editing Openai/67db4881-e51c-8006-aea8-4c6e792a7fe8 (section)

===== 1. Physics of Sound Propagation: - Sound waves do travel through walls, floors, and other solid materials. - These waves get distorted and weakened as they pass through different materials. - They reflect multiple times, creating an echoey, scrambled mess when they reach a surface like the ground. - The key challenge is extracting useful speech from this noise. =====
# Capturing the Sound: - A high-sensitivity seismic microphone (geophone or piezoelectric sensor) might work as your "earplug to the ground." - It would detect vibrations caused by sound waves hitting the ground after bouncing off multiple surfaces. - The signal would likely be very weak and mixed with a lot of environmental noise.
# AI Processing & Speech Reconstruction: - Phase shifts & propagation direction: If the AI can analyze the tiny phase shifts in vibrations, it might separate different sound sources. - Speech Recognition on Distorted Signals: Training an AI model on thousands of known voices in similar distortion conditions might help reconstruct intelligible speech. - Multi-path signal separation: Using deep-learning techniques similar to speech enhancement models (like those used in noise cancellation) could help isolate voices.