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Experiments with Segmentation in an Online Speaker Diarization System

机译:在在线扬声器深度化系统中的分割实验

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In offline speaker diarization systems, particularly those aimed at telephone speech, the accuracy of the initial segmentation of a conversation is often a secondary concern. Imprecise segment boundaries are typically corrected during resegmentation, which is performed as the final step of the diarization process. However, such resegmentation is generally not possible in online systems, where past decisions are usually unchangeable. In such situations, correct segmentation becomes critical. In this paper, we evaluate several different segmentation approaches in the context of online diarization by comparing the overall performance of an i-vector-based diarization system set to operate in a sequential manner.
机译:在离线扬声器深度化系统中,特别是旨在致电的人,谈话的初始分割的准确性通常是次要问题。在分析期间通常纠正不精确的段边界,其作为日复日期过程的最后步骤进行。但是,在线系统中通常不可能在线系统中,过去的决定通常不可改变。在这种情况下,正确的分割变得至关重要。在本文中,通过比较基于I形式的日复日复一绪的日复速度系统的整体性能以顺序方式,我们在在线日复日益增估中评估了几种不同的分段方法。

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