  Auto-KWS 2021 challenge calls for automated machine learning (AutoML)
solutions to automate the process of applying machine learning to a customized
keyword spotting task. Compared with other keyword spotting tasks, Auto-KWS
challenge has the following three characteristics: 1) The challenge focuses on
the problem of customized keyword spotting, where the target device can only be
awakened by an enrolled speaker with his specified keyword. The speaker can use
any language and accent to define his keyword. 2) All dataset of the challenge
is recorded in realistic environment. It is to simulate different user
scenarios. 3) Auto-KWS is a "code competition", where participants need to
submit AutoML solutions, then the platform automatically runs the enrollment
and prediction steps with the submitted code.This challenge aims at promoting
the development of a more personalized and flexible keyword spotting system.
Two baseline systems are provided to all participants as references.
