This document describes the Short-duration Speaker Verification (SdSV) Challenge 2020. 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.

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2020 年短期说话人验证 (SdSV) 挑战：挑战评估计划

本文档描述了 2020 年短期说话人验证 (SdSV) 挑战赛。该挑战赛的主要目标是在短期场景中评估用于文本相关 (TD) 和文本无关 (TI) 说话人验证 (SV) 的新技术. 提议的挑战评估 SdSV，在注册和测试话语（跨语言）之间具有不同程度的语音重叠。这是第一个挑战，广泛关注短期说话人识别的不同程度语音变异的系统基准和分析。我们预计现代方法（特别是深度神经网络）将发挥关键作用。