A multimodal neural network generates real-time spatial room impulse responses by feeding geometrically computed low-order reflections and scene features into a deep learning model trained on a new diverse dataset.
Problem Formulation We propose a scene-waveform multimodal deep learning ap- proach for SRIR computation and design a model denoted asF
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Multimodal Deep Learning Method for Real-Time Spatial Room Impulse Response Computing
A multimodal neural network generates real-time spatial room impulse responses by feeding geometrically computed low-order reflections and scene features into a deep learning model trained on a new diverse dataset.