Energy Decay Curves prediction LSTM model (Nueral Network)

This Zenodo record provides the trained LSTM model checkpoint used in the study: Room impulse response prediction with neural networks: from energy decay curves to perceptual validation. The model is designed to predict Energy Decay Curves (EDCs) directly from room geometric and material features. It serves as the core component of a framework for fast and accurate Room Impulse Response (RIR) reconstruction. The full codebase, including inference scripts, dataset processing tools, and usage instructions, is available on GitHub:👉 https://github.com/TUIlmenauAMS/LSTM-Model-Energy-Decay-Curves