ICASSP 2022 Acoustic Echo Cancellation Challenge
This challenge addresses acoustic echo cancellation, a critical issue in audio communication for improving speech quality and recognition, but it is incremental as it builds on previous challenges with enhanced features.
The ICASSP 2022 Acoustic Echo Cancellation Challenge aimed to advance research in acoustic echo cancellation by introducing mobile scenarios, speech recognition metrics, and a 48 kHz sample rate, and provided open-source datasets from over 10,000 real devices and speakers to train models.
The ICASSP 2022 Acoustic Echo Cancellation Challenge is intended to stimulate research in acoustic echo cancellation (AEC), which is an important area of speech enhancement and still a top issue in audio communication. This is the third AEC challenge and it is enhanced by including mobile scenarios, adding speech recognition rate in the challenge goal metrics, and making the default sample rate 48 kHz. In this challenge, 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 also open source an online subjective test framework and provide an online objective metric service for researchers to quickly test their results. The winners of this challenge are selected based on the average Mean Opinion Score achieved across all different single talk and double talk scenarios, and the speech recognition word acceptance rate.