首页> 外国专利> Pre-processing speech signals to extract individual variations - normalising amplitude and vector time patterns using logarithmic scale and memory circuit for standardised speech patterns

Pre-processing speech signals to extract individual variations - normalising amplitude and vector time patterns using logarithmic scale and memory circuit for standardised speech patterns

机译:预处理语音信号以提取单个变化-使用对数标度和存储电路对幅度和矢量时间模式进行归一化,以实现标准化的语音模式

摘要

A speech signal pre-processing unit for eliminating individual speakers' speech quality patterns and vectors is proposed in order to free the genuine speech characteristics from individual amplitude and amplitude/frequency time patterns before processing in a speech recognition unit. Accordingly, an input terminal for speech signal passes to a speech quality extraction circuit (31). Then the often widely differing amplitude proportions are reduced in a unit (22) by some logarithmic scale and normalized. This is done without destroying the genuine speech criteria and their vector patterns in time. This output is passed to a speech recognition unit (34). A memory circuit (32) holding standardised speech patterns is also applied to the recognition unit (34) and the differences are assessed and evaluated. This corrected speech signal permits analytical treatment in accordance with its objective speech signal contents.
机译:为了消除真正的语音特性,在语音识别单元中进行处理之前,从各个幅度和幅度/频率时间模式中释放出真正的语音特性,提出了一种消除单个讲话者的语音质量模式和矢量的语音信号预处理单元。因此,语音信号的输入端子到达语音质量提取电路(31)。然后,将通常相差很大的幅度比例在一个单位(22)中减小一些对数刻度并进行归一化。这样做不会破坏真实的语音标准及其向量模式。该输出被传递到语音识别单元(34)。保持标准化语音模式的存储电路(32)也被应用于识别单元(34),并且差异被评估和评估。该校正的语音信号允许根据其客观语音信号内容进行分析处理。

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