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    • 5. 发明授权
    • System and method for providing an acoustic grammar to dynamically sharpen speech interpretation
    • 用于提供声学语法以动态地锐化语音解释的系统和方法
    • US08150694B2
    • 2012-04-03
    • US13150977
    • 2011-06-01
    • Robert A. KennewickMin KeMichael TjalvePhilippe Di Cristo
    • Robert A. KennewickMin KeMichael TjalvePhilippe Di Cristo
    • G10L15/00
    • G10L15/08G10L15/183G10L15/187G10L2015/025
    • The system and method described herein may provide an acoustic grammar to dynamically sharpen speech interpretation. In particular, the acoustic grammar may be used to map one or more phonemes identified in a user verbalization to one or more syllables or words, wherein the acoustic grammar may have one or more linking elements to reduce a search space associated with mapping the phonemes to the syllables or words. As such, the acoustic grammar may be used to generate one or more preliminary interpretations associated with the verbalization, wherein one or more post-processing techniques may then be used to sharpen accuracy associated with the preliminary interpretations. For example, a heuristic model may assign weights to the preliminary interpretations based on context, user profiles, or other knowledge and a probable interpretation may be identified based on confidence scores associated with one or more candidate interpretations generated with the heuristic model.
    • 本文描述的系统和方法可以提供声学语法以动态地锐化语音解释。 特别地,声学语法可以用于将用户言语表达中识别的一个或多个音素映射到一个或多个音节或单词,其中声学语法可以具有一个或多个链接元素以减少与映射音素相关联的搜索空间 音节或单词。 因此,声学语法可以用于产生与语言化相关联的一个或多个初步解释,其中然后可以使用一个或多个后处理技术来提高与初步解释相关联的准确性。 例如,启发式模型可以基于上下文,用户简档或其他知识为初步解释分配权重,并且可以基于与由启发式模型生成的一个或多个候选解释相关联的置信度得分来识别可能的解释。
    • 7. 发明申请
    • DYNAMIC SPEECH SHARPENING
    • 动态讲话
    • US20100049501A1
    • 2010-02-25
    • US12608544
    • 2009-10-29
    • Robert A. KennewickMin KeMichael TjalvePhilippe Di Cristo
    • Robert A. KennewickMin KeMichael TjalvePhilippe Di Cristo
    • G10L15/18
    • G10L15/08G10L15/183G10L15/187G10L2015/025
    • An enhanced system for speech interpretation is provided. The system may include receiving a user verbalization and generating one or more preliminary interpretations of the verbalization by identifying one or more phonemes in the verbalization. An acoustic grammar may be used to map the phonemes to syllables or words, and the acoustic grammar may include one or more linking elements to reduce a search space associated with the grammar. The preliminary interpretations may be subject to various post-processing techniques to sharpen accuracy of the preliminary interpretation. A heuristic model may assign weights to various parameters based on a context, a user profile, or other domain knowledge. A probable interpretation may be identified based on a confidence score for each of a set of candidate interpretations generated by the heuristic model. The model may be augmented or updated based on various information associated with the interpretation of the verbalization.
    • 提供了一个增强的语音解释系统。 该系统可以包括通过识别语言中的一个或多个音素来接收用户的言语表达和产生语言表达的一个或多个初步解释。 可以使用声学语法将音素映射到音节或单词,并且声学语法可以包括一个或多个连接元件以减少与语法相关联的搜索空间。 初步解释可能需要采用各种后处理技术来提高初步解释的准确性。 启发式模型可以基于上下文,用户简档或其他域知识为各种参数分配权重。 可以基于由启发式模型生成的一组候选解释中的每一个的置信度分数来识别可能的解释。 该模型可以基于与语言解释的解释相关的各种信息进行扩充或更新。
    • 8. 发明授权
    • Dynamic speech sharpening
    • 动态语音锐化
    • US07634409B2
    • 2009-12-15
    • US11513269
    • 2006-08-31
    • Robert A. KennewickMin KeMichael TjalvePhilippe Di Cristo
    • Robert A. KennewickMin KeMichael TjalvePhilippe Di Cristo
    • G10L15/00
    • G10L15/08G10L15/183G10L15/187G10L2015/025
    • An enhanced system for speech interpretation is provided. The system may include receiving a user verbalization and generating one or more preliminary interpretations of the verbalization by identifying one or more phonemes in the verbalization. An acoustic grammar may be used to map the phonemes to syllables or words, and the acoustic grammar may include one or more linking elements to reduce a search space associated with the grammar. The preliminary interpretations may be subject to various post-processing techniques to sharpen accuracy of the preliminary interpretation. A heuristic model may assign weights to various parameters based on a context, a user profile, or other domain knowledge. A probable interpretation may be identified based on a confidence score for each of a set of candidate interpretations generated by the heuristic model. The model may be augmented or updated based on various information associated with the interpretation of the verbalization.
    • 提供了一个增强的语音解释系统。 系统可以包括通过识别语言中的一个或多个音素来接收用户的言语表达并产生语言表达的一个或多个初步解释。 可以使用声学语法将音素映射到音节或单词,并且声学语法可以包括一个或多个连接元件以减少与语法相关联的搜索空间。 初步解释可能需要采用各种后处理技术来提高初步解释的准确性。 启发式模型可以基于上下文,用户简档或其他域知识为各种参数分配权重。 可以基于由启发式模型生成的一组候选解释中的每一个的置信度分数来识别可能的解释。 该模型可以基于与语言解释的解释相关的各种信息进行扩充或更新。