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Neknufelet/
room-acoustic-optimizer

Name: room-acoustic-optimizer
Availability: InStock

2308.05141

2510.21257

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Room Acoustic Optimizer with Machine Learning

A hybrid acoustic simulation and ML-powered optimization system for room acoustic design.

Architecture

FEM (Finite Element Method): Low frequencies (20-300 Hz)
ISM (Image Source Method): Mid frequencies (300-1000 Hz)
Raytracing: High frequencies (>1000 Hz)
ML Optimization: Bayesian (Optuna) + Genetic (NSGA-II)

Based on

NERO/ROCKS/TORA concepts from Ready Acoustics
DeepONet for Acoustics: arXiv:2308.05141
HiFi-HARP Dataset: arXiv:2510.21257

Quick Start

python

from room_acoustic_optimizer import HybridSimulator, RoomGeometry

# Create room and simulate
room = create_simple_room(5.0, 4.0, 3.0)
simulator = HybridSimulator()
result = simulator.simulate_full_band(room, source_pos, receiver_pos)

Demo

Live demo: https://huggingface.co/spaces/Neknufelet/room-acoustic-demo

Repo Structure

room_acoustic_optimizer/simulator.py - Hybrid FEM+ISM+RT simulator
room_acoustic_optimizer/surrogate.py - DeepONet surrogate model
room_acoustic_optimizer/optimizer.py - Bayesian + Genetic optimizers
room_acoustic_optimizer/metrics.py - Acoustic metrics (ISO 3382)
demo_optimizer.py - Full demo script
train_surrogate.py - Training script for DeepONet

Neknufelet/room-acoustic-optimizer