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The 2020 Personalized Voice Trigger Challenge (PVTC2020) addresses twodifferent research problems a unified setup: joint wake-up word detection withspeaker verification on close-talking single microphone data and far-fieldmulti-channel microphone array data. Specially, the second task poses anadditional cross-channel matching challenge on top of the far-field condition.To simulate the real-life application scenario, the enrollment utterances arerecorded from close-talking cell-phone only, while the test utterances arerecorded from both the close-talking cell-phone and the far-field microphonearrays. This paper introduces our challenge setup and the released database aswell as the evaluation metrics. In addition, we present a joint end-to-endneural network baseline system trained with the proposed database forspeaker-dependent wake-up word detection. Results show that the cost calculatedfrom the miss rate and the false alarm rate, can reach 0.37 in theclose-talking single microphone task and 0.31 in the far-field microphone arraytask. The official website and the open-source baseline system have beenreleased.

The 2020 Personalized Voice Trigger Challenge: Open Database, Evaluation Metrics and the Baseline Systems