On the Usefulness of Diffusion-Based Room Impulse Response Interpolation to Microphone Array Processing
This work addresses a fundamental issue in spatial audio and speech enhancement for practical multi-microphone systems, but it is incremental as it builds upon a previously introduced method.
The authors tackled the problem of Room Impulse Response interpolation for microphone array processing by applying a diffusion-based inpainting framework, demonstrating its applicability and robustness in real-world scenarios.
Room Impulse Responses estimation is a fundamental problem in spatial audio processing and speech enhancement. In this paper, we build upon our previously introduced diffusion-based inpainting framework for Room Impulse Response interpolation and demonstrate its applicability to enhancing the performance of practical multi-microphone array processing tasks. Furthermore, we validate the robustness of this method in interpolating real-world Room Impulse Responses.