ForestIR: Physics-informed simulation boosts forest bioacoustic monitoring
New framework simulates forest sound propagation for better wildlife tracking
ForestIR, developed by Xin Shen and nine collaborators, is a physics-informed simulation framework designed to improve passive acoustic monitoring (PAM) in forests. It links forest and environmental conditions to microphone-array recordings by generating source-microphone impulse responses (IRs) under user-controlled parameters like forest layout, ground conditions, atmospheric state, and array geometry. The framework renders synthetic array recordings by convolving test signals with controlled background noise, providing a reproducible alternative to costly and variable field recordings.
Evaluations show ForestIR accurately models sound propagation and localization sensitivity, validated against real sine-sweep measurements from field experiments. The framework supports design and testing of microphone arrays, robustness evaluations, and synthetic-data generation for biodiversity sensing. This tool enables researchers to systematically optimize array configurations for sound source localization without the logistical challenges of field trials, potentially accelerating advances in ecoacoustics and conservation monitoring.
- Generates realistic impulse responses under controlled forest and atmospheric conditions
- Validated against real field measurements with sine-sweep IR comparisons
- Supports array design optimization and synthetic-data generation for passive acoustic monitoring
Why It Matters
Enables reproducible, cost-effective simulation for designing forest bioacoustic monitoring arrays.