This document describes the Short-duration Speaker Verification (SdSV) Challenge 2021. The main goal of the challenge is to evaluate new technologies for text-dependent (TD) and text-independent (TI) speaker verification (SV) in a short duration scenario. The proposed challenge evaluates SdSV with varying degree of phonetic overlap between the enrollment and test utterances (cross-lingual). It is the first challenge with a broad focus on systematic benchmark and analysis on varying degrees of phonetic variability on short-duration speaker recognition. We expect that modern methods (deep neural networks in particular) will play a key role.

翻译：本文件介绍了短期演讲者核查(SdSV)的2021年挑战。挑战的主要目标是在短时期内评价依赖文本(TD)和独立于文本(TI)的演讲者核查(SV)的新技术。拟议的挑战评价SdSV在入学和测试语句(跨语言)之间有不同程度的语音重叠。这是第一个挑战,它广泛侧重于对短期演讲者认识的不同程度的语音变异进行系统基准和分析。我们期望现代方法(特别是深神经网络)将发挥关键作用。