ICASSP 2023 Acoustic Echo Cancellation Challenge
Abstract
The ICASSP 2023 Acoustic Echo Cancellation Challenge is intended to stimulate research in acoustic echo cancellation (AEC), which is an important area of speech enhancement and is still a top issue in audio communication. This is the fourth AEC challenge and it is enhanced by adding a second track for personalized acoustic echo cancellation, reducing the algorithmic + buffering latency to 20ms, as well as including a full-band version of AECMOS. We open source two large datasets to train AEC models under both single talk and double talk scenarios. These datasets consist of recordings from more than 10,000 real audio devices and human speakers in real environments, as well as a synthetic dataset. We open source an online subjective test framework and provide an objective metric for researchers to quickly test their results. The winners of this challenge were selected based on the average mean opinion score (MOS) achieved across all scenarios and the word accuracy (WAcc) rate.
Keywords
Cite
@article{arxiv.2309.12553,
title = {ICASSP 2023 Acoustic Echo Cancellation Challenge},
author = {Ross Cutler and Ando Saabas and Tanel Parnamaa and Marju Purin and Evgenii Indenbom and Nicolae-Catalin Ristea and Jegor Gužvin and Hannes Gamper and Sebastian Braun and Robert Aichner},
journal= {arXiv preprint arXiv:2309.12553},
year = {2023}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2202.13290, arXiv:2009.04972