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Applying speech recognition adaptation in an automated speech recognition system of a telematics-equipped vehicle

机译:在配备远程信息处理系统的车辆的自动语音识别系统中应用语音识别自适应

摘要

A speech recognition adaptation method for a vehicle having a telematics unit with an embedded speech recognition system. Speech is received and pre-processed to generate acoustic feature vectors, and an adaptation parameter is applied to the acoustic feature vectors to yield transformed acoustic feature vectors. The transformed acoustic feature vectors are decoded and a hypothesis of the speech is selected, and the adaptation parameter is trained using acoustic feature vectors from the hypothesis. The method also includes one or more of the following steps: the speech is observed for a certain characteristic and the trained adaptation parameter is saved in accordance with the certain characteristic for use in transforming feature vectors of subsequent speech having the certain characteristic; use of the trained adaptation parameter persists from one vehicle ignition cycle to the next; and use of the trained adaptation parameter is ceased upon detection of a system fault.
机译:用于具有带有嵌入式语音识别系统的远程信息处理单元的车辆的语音识别自适应方法。语音被接收并被预处理以生成声学特征向量,并且自适应参数被应用于声学特征向量以产生变换后的声学特征向量。对变换后的声学特征向量进行解码,然后选择语音的假设,并使用来自假设的声学特征向量来训练自适应参数。该方法还包括以下一个或多个步骤:观察语音的某个特征,并根据该特定的特征保存训练后的自适应参数,以用于转换具有该特定特征的后续语音的特征向量;以及从一个车辆点火循环到下一个车辆点火循环持续使用经过训练的自适应参数;当检测到系统故障时,停止使用训练后的自适应参数。

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