The 2022 Far-field Speaker Verification Challenge: Exploring domain mismatch and semi-supervised learning under the far-field scenario

Xiaoyi Qin, Ming Li, Hui Bu, Shrikanth S. Narayanan, Haizhou Li
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引用次数: 5

Abstract

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.
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2022远场说话者验证挑战:探索远场场景下的领域不匹配和半监督学习
FFSVC2022是远场扬声器验证的第二个挑战。FFSVC2022提供全监督远场扬声器验证,进一步探索远场场景,并提出半监督远场扬声器验证。与FFSVC2020相比,FFSVC2022专注于单通道场景。此外,今年还发布了FFSVC2020数据集的补充集。补充集由更多的记录设备组成,其数据分布与FFSVC2022评估集相同。本文对FFSVC 2022进行了总结,包括任务描述、试验设计细节、基线系统和挑战结果总结。挑战结果表明该领域取得了实质性进展,但也表明远场情景仍然存在困难。
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