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Speech recognition system utilizing vocabulary model preselection

机译:利用词汇模型预选的语音识别系统

摘要

Preliminary screening of vocabulary models is provided by successively applying two different high speed distance measuring functions which provide progressively increasing measurement accuracy. Both distance measuring functions utilize subsampled representations of the unknown speech segment and the vocabulary models. The initial screening function achieves very high speed by eliminating certain usual time warping constraints and by precalculating a table of distance values which can be used for all vocabulary models. The second screening function yields improved accuracy in spite of possible endpointing errors by comparing extra frames, preceding and following the presumed unknown word, with noise models appended to each vocabulary model.
机译:通过连续应用两个不同的高速测距功能,可以提供逐渐提高的测量精度,从而对词汇模型进行初步筛选。两种距离测量功能都利用未知语音段和词汇模型的二次采样表示。初始筛选功能通过消除某些通常的时间扭曲约束并通过预先计算可用于所有词汇模型的距离值表来实现非常高的速度。尽管存在可能的终结点错误,但第二种筛选功能仍可以通过比较假定的未知单词前后的多余帧以及将噪声模型附加到每个词汇表模型来提高准确性。

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