![]() ![]() This was the first time we had to use echo-cancellation with this particular client and afterwards I noticed that the recordings sounded quite a bit worse than usual. In a recent episode I produced for a client I clearly noticed the audio degradation caused by the echo-cancellation. But, if someone doesn’t have earbuds or headphones you are FORCED to use echo-cancellation. And unfortunately with echo-cancellation enabled there are ducking/muting issues when people talk over each other, which is very annoying and literally disrupts the conversation. Without this kind of echo-cancellation you will hear participants voices echoing back and forth which makes a conversation virtually impossible. ![]() The winners of this challenge are selected based on the average Mean Opinion Score achieved across all different single talk and double talk scenarios.Many online recording services (Squadcast, Zencastr, Riverside.fm, etc.) have a feature called echo-cancellation which users should enabled if/when any participants are NOT wearing headphones. ![]() We also open source an online subjective test framework and provide an online objective metric service for researchers to quickly test their results. These datasets consist of recordings from more than 5,000 real audio devices and human speakers in real environments, as well as a synthetic dataset. In this challenge, we open source two large datasets to train AEC models under both single talk and double talk scenarios. Also, most of the conventional objective metrics such as echo return loss enhancement and perceptual evaluation of speech quality do not correlate well with subjective speech quality tests in the presence of background noise and reverberation found in realistic environments. However, AEC performance often degrades significantly on real recordings. Many recent AEC studies report good performance on synthetic datasets where the training and testing data may come from the same underlying distribution. The INTERSPEECH 2021 Acoustic Echo Cancellation Challenge is intended to stimulate research in the area of acoustic echo cancellation (AEC), which is an important part of speech enhancement and still a top issue in audio communication. ![]()
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