3 papers
eess.AS2026
From Numbers to Perception, Energy Decay Curves Prediction
Imran Muhammad, Gerald Schuller
Predicting Room Impulse Responses (RIRs) remains a challenge due to the high dimensionality of audio signals and the need for perceptual accuracy. This paper introduces a neural ne…
eess.AS2025
Room Impulse Response Prediction with Neural Networks: From Energy Decay Curves to Perceptual Validation
Imran Muhammad, Gerald Schuller
Prediction of room impulse responses (RIRs) is essential for room acoustics, spatial audio, and immersive applications, yet conventional simulations and measurements remain computa…
eess.AS2025
Deep Learning-Based Prediction of Energy Decay Curves from Room Geometry and Material Properties
Imran Muhammad, Gerald Schuller
Accurate prediction of energy decay curves (EDCs) enables robust analysis of room acoustics and reliable estimation of key parameters. We present a deep learning framework that pre…