基于延迟的集成在线通话记录、说话人记录和识别系统优化

Aleksandar Melov, B. Gerazov, Z. Ivanovski
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引用次数: 0

摘要

说话人记录和识别系统的设计是一个成熟的研究领域,其在现实世界中的应用已经得到了发展。这些系统仍有许多参数需要针对当前的应用场景进行调优和优化。设计了一个在线通话记录记录系统,该系统集成了呼叫中心话务员的扬声器识别。使用试验台数据库对说话人记录和识别算法的参数进行交叉调优。由真阳性率(TPR)评估的系统性能,相对于系统引入的延迟进行了优化。由于系统被设计为在线使用,因此tpr -延迟权衡对其部署至关重要。最终的系统是灵活的,因为它允许用户选择现场部署所需的延迟或准确性。
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Delay based optimisation of an integrated online call recording speaker diarisation and identification system
The design of speaker diarisation and recognition systems is a mature research area and their deployment in the real world has gained momentum. There are still a number of parameters of these systems that have to be tuned and optimised for the application scenario at hand. An online call recording diarisation system is designed with integrated speaker identification of the call-centre operators. The parameters of the speaker diarisation and identification algorithms are cross-tuned using a testbench database. The system performance, as assessed by the true positive rate (TPR), is optimised in respect to the delay introduced by the system. As the system is designed to be used online, the TPR-delay trade-off is crucial to its deployment. The finalised system is flexible in that it allows the user to choose the delay or accuracy needed for on-site deployment.
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