  The 2020 Personalized Voice Trigger Challenge (PVTC2020) addresses two
different research problems a unified setup: joint wake-up word detection with
speaker verification on close-talking single microphone data and far-field
multi-channel microphone array data. Specially, the second task poses an
additional cross-channel matching challenge on top of the far-field condition.
To simulate the real-life application scenario, the enrollment utterances are
recorded from close-talking cell-phone only, while the test utterances are
recorded from both the close-talking cell-phone and the far-field microphone
arrays. This paper introduces our challenge setup and the released database as
well as the evaluation metrics. In addition, we present a joint end-to-end
neural network baseline system trained with the proposed database for
speaker-dependent wake-up word detection. Results show that the cost calculated
from the miss rate and the false alarm rate, can reach 0.37 in the
close-talking single microphone task and 0.31 in the far-field microphone array
task. The official website and the open-source baseline system have been
released.
