This document describes task1 of the Short-Duration Speaker Verification Challenge (SdSVC) 2020. The main aim of the challenge is to evaluate new technologies for text-dependent speaker verification (TD-SV) . There is one more task in the SdSVC which is text-independent speaker verification which is explained in a separate description file. The evaluation dataset in the challenge is recently released multi-purpose DeepMine dataset. The dataset has three parts and among them part1 is for text-dependent speaker verification .
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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task1 of the Short-Duration Speaker Verification Challenge (SdSVC)
the Short-duration Speaker Verification (SdSV) Challenge
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aim
goal
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speaker verification (TD-SV) . There is one more task in the SdSVC which is
(TD) and
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speaker verification which is explained in a separate description file. The evaluation dataset in the challenge is recently released multi-purpose DeepMine dataset. The dataset has three parts and among them part1 is for text-dependent speaker verification
(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