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System and method for applying dynamic contextual grammars and language models to improve automatic speech recognition accuracy

机译:应用动态上下文语法和语言模型以提高自动语音识别精度的系统和方法

摘要

The invention involves the loading and unloading of dynamic section grammars and language models in a speech recognition system. The values of the sections of the structured document are either determined in advance from a collection of documents of the same domain, document type, and speaker; or collected incrementally from documents of the same domain, document type, and speaker; or added incrementally to an already existing set of values. Speech recognition in the context of the given field is constrained to the contents of these dynamic values. If speech recognition fails or produces a poor match within this grammar or section language model, speech recognition against a larger, more general vocabulary that is not constrained to the given section is performed.
机译:本发明涉及在语音识别系统中加载和卸载动态部分语法和语言模型。结构化文档各节的值或者是预先从一组具有相同域,文档类型和发言人的文档中确定的;或从具有相同域,文档类型和发言人的文档中逐步收集;或以增量方式添加到一组现有值中。在给定字段的上下文中的语音识别仅限于这些动态值的内容。如果语音识别失败或在此语法或部分语言模型中产生不正确的匹配,则针对不受限于给定部分的更大,更通用的词汇执行语音识别。

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