@inproceedings{da1df02042724f689336efb2f56821b5,
title = "Blind reverberation time estimation from ambisonic recordings",
abstract = "Reverberation time is an important room acoustic parameter, useful for many acoustic signal processing applications. Most of the existing work on blind reverberation time estimation focuses on the single-channel case. However, the recent developments and interest on immersive audio have brought to the market a number of spherical microphone arrays, together with the usage of ambisonics as a standard spatial audio convention. This work presents a novel blind reverberation time estimation method, which specifically targets ambisonic recordings, a field that remained unexplored to the best of our knowledge. Experimental validation on a synthetic reverberant dataset shows that the proposed algorithm outperforms state-of-the-art methods under most evaluation criteria.",
author = "Andres Perez-Lopez and Archontis Politis and Emilia G{\'o}mez",
note = "jufoid=70574; IEEE International Workshop on Multimedia Signal Processing ; Conference date: 01-01-1900",
year = "2020",
month = dec,
day = "16",
doi = "10.1109/MMSP48831.2020.9287128",
language = "English",
series = "IEEE International Workshop on Multimedia Signal Processing",
publisher = "IEEE",
booktitle = "IEEE International Workshop on Multimedia Signal Processing (MMSP)",
address = "United States",
}