论文标题
2022年远场演讲者验证挑战：在远场场景下探索域不匹配和半监督学习
The 2022 Far-field Speaker Verification Challenge: Exploring domain mismatch and semi-supervised learning under the far-field scenario
论文作者
论文摘要
FFSVC2022是远场演讲者验证的第二个挑战。 FFSVC2022提供了完全监督的远场扬声器验证，以进一步探索远场情景，并提出半监督的远场扬声器验证。与FFSVC2020相反，FFSVC2022专注于单渠道方案。此外，今年发布了FFSVC2020数据集的补充套件。补充集由更多的记录设备组成，并且具有与FFSVC2022评估集相同的数据分布。本文总结了FFSVC 2022，包括任务说明，试验设计细节，基线系统和挑战结果摘要。挑战结果表明该领域取得了重大进展，但也表明，远场景仍然存在困难。
FFSVC2022 is the second challenge of far-field speaker verification. FFSVC2022 provides the fully-supervised far-field speaker verification to further explore the far-field scenario and proposes semi-supervised far-field speaker verification. In contrast to FFSVC2020, FFSVC2022 focus on the single-channel scenario. In addition, a supplementary set for the FFSVC2020 dataset is released this year. The supplementary set consists of more recording devices and has the same data distribution as the FFSVC2022 evaluation set. This paper summarizes the FFSVC 2022, including tasks description, trial designing details, a baseline system and a summary of challenge results. The challenge results indicate substantial progress made in the field but also present that there are still difficulties with the far-field scenario.
