一个开放/免费的维吾尔语识别数据库和基准

Askar Rozi, Dong Wang, Zhiyong Zhang, T. Zheng
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引用次数: 16

摘要

关于维吾尔语说话人识别的研究很少。在有限的工作中,研究人员通常收集小型语音数据库,并根据自己的私人数据发表结果。这种“闭门造车的评估”使得大多数出版物都值得怀疑。本文发布了一个开放的自由言论数据库thuyg - g - SRE和一个维吾尔语说话人识别基准。该数据库基于我们最近发布的THUYG-20语音语料库,基准涉及各种培训/注册/测试条件下的识别任务。我们提供了数据库和基准的完整描述,并提出了使用Kaldi工具包构建的i向量基线系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An open/free database and Benchmark for Uyghur speaker recognition
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.
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