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'System and a Method for Generating Semantically Similar Sentences for Building a Robust SLM' in Patent Application Approval Process

机译:专利申请批准过程中的“用于生成语义相似的句子以构建健壮的SLM的系统和方法”

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The following quote was obtained by the news editors from the background information supplied by the inventors: "One specific example of a natural language processing application is an automatic speech recognition (ASR) system that tries to determine a representative meaning (e.g., text) corresponding to input speech. Typically, the input speech is processed into a sequence of digital frames. Each frame can be thought of as a multi-dimensional vector that represents various characteristics of the speech signal present during a short time window of the speech. In a continuous speech recognition system, variable numbers of frames are organized as 'utterances' representing a period of speech followed by a pause which in real life loosely corresponds to a spoken sentence or phrase.
机译:新闻编辑从发明人提供的背景信息中获得以下引用:“自然语言处理应用程序的一个特定示例是自动语音识别(ASR)系统,该系统试图确定相应的代表意义(例如文本)通常,将输入语音处理为一系列数字帧,每个帧都可以看作是多维矢量,代表了在语音的短时间窗口内出现的语音信号的各种特征。在连续语音识别系统中,可变数量的帧被组织为“言语”,代表一段语音的时间,然后是一个停顿,在现实生活中,该停顿大致对应于一个口语句子或短语。

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