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LATENT-SEGMENTATION INTONATION MODEL

机译:延迟分段语调模型

摘要

The intonation model of the present technology disclosed herein assigns different words within a sentence to be prominent, analyzes multiple prominence possibilities (in some cases, all prominence possibilities), and learns parameters of the model using large amounts of data. Unlike previous systems, intonation patterns are discovered from data. Speech data is sub-segmented into words, the different segments are analyzed and used for learning, and a determination is made as to whether the segmentations predict pitch
机译:本文公开的本技术的语调模型将句子内的不同单词分配为突出,分析多个突出可能性(在某些情况下,所有突出可能性),并使用大量数据来学习模型的参数。与以前的系统不同,语调模式是从数据中发现的。将语音数据细分为单词,分析不同的片段并将其用于学习,然后确定这些片段是否预测音调

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