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Investigating Text-independent Speaker Verification from Practically Realizable System Perspective

机译:从切实可行的系统角度研究与文本无关的说话者验证

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This work projects an attempt to explore the prospects of text-independent speaker verification (SV) for practical realizable systems. Although the advancements in SV systems have gained attention towards deployable systems, the performance seems to degrade under uncontrolled conditions. A protocol for data collection is designed for the text-independent SV with student attendance as an application to create a database in a real-world scenario. The i-vector based speaker modeling is used for evaluating the performance that depicts major deviation of results from that obtained on standard database. This portrays the significance of having real-world scenario based databases for robust SV studies. Further, studies are performed related to speaker categorization, speaker confidence and model update that showcase their significance towards systems in practice. The database created in this work is available as a part of multi-style speaker recognition database.
机译:这项工作计划尝试探索针对实际可实现系统的独立于文本的说话者验证(SV)的前景。尽管SV系统的进步已引起人们对可部署系统的关注,但在不受控制的条件下性能似乎会下降。数据收集协议是为与文本无关的SV设计的,具有学生出勤的应用程序可以作为在实际场景中创建数据库的应用程序。基于i向量的说话人建模用于评估性能,该性能描述了与标准数据库上获得的结果存在重大差异的情况。这说明了拥有基于真实场景的数据库进行强大的SV研究的重要性。此外,进行了与说话者分类,说话者信心和模型更新有关的研究,这些研究表明了它们对实践中系统的重要性。这项工作中创建的数据库可作为多样式说话人识别数据库的一部分使用。

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