@inproceedings{53b725beb79a4d2b8e92e833e76a65fb,
title = "Room Impulse Response Reconstruction Based on Spatio-Temporal-Spectral Features Learned from a Spherical Microphone Array Measurement",
abstract = "Large-scale Room Impulse Response (RIR) measurements are required to accurately determine a room's acoustic response to different source-listener configurations. RIR reconstruction methods are often used to reduce these measurement costs. Prior knowledge of room acoustic parameters can ensure reliable and robust RIR reconstruction. This paper proposes a method to reconstruct RIRs based on reflection source locations and time-frequency-direction-dependent reflection magnitude response estimated from a single spherical microphone array measurement. These input parameters are learned by applying the eigenbeam spatial correlation method and von Mises-Fisher (vMF)-based directivity modeling. According to the performance evaluation, the composition of the learned features in the RIR reconstruction formulation successfully preserves the objective characteristics of the real room.",
keywords = "early reflections, eigenbeams, RIR synthesis, Room impulse response, spherical microphone array",
author = "Amy Bastine and Abhayapala, \{Thushara D.\} and Zhang, \{Jihui Aimee\}",
note = "{\textcopyright} 2023 IEEE.; 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 ; Conference date: 04-06-2023 Through 10-06-2023",
year = "2023",
doi = "10.1109/ICASSP49357.2023.10096202",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
address = "United States",
}