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Few research has been conducted on Uyghur speaker recognition. Among the limited works, researchers usually collect small speech databases and publish results based on their own private data. This `close-door evaluation' makes most of the publications doubtable. This paper publishes an open and free speech database THUYG-20 SRE and a benchmark for Uyghur speaker recognition. The database is based on the THUYG-20 speech corpus we recently released, and the benchmark involves recognition tasks with various training/enrollment/test conditions. We provide a complete description for the database as well as the benchmark, and present an i-vector baseline system constructed using the Kaldi toolkit.
Rozi et al. (Thu,) studied this question.