ENTITY NAME RECOGNITION
    11.
    发明申请
    ENTITY NAME RECOGNITION 有权
    实体名称识别

    公开(公告)号:US20150371632A1

    公开(公告)日:2015-12-24

    申请号:US14639199

    申请日:2015-03-05

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for recognizing names of entities in speech. In one aspect, a method includes actions of receiving an utterance that includes (i) a first term that indicates a particular entity type, and (ii) a second term that indicates an entity name. Additional actions include obtaining a phonetic representation of the second term and determining that the phonetic representation of the second term matches a particular phonetic representation of a particular canonical name of a set of canonical names associated with a particular entity. Further actions include outputting a reference name associated with the particular entity as a transcription of the second term.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于识别语音中实体的名称。 一方面,一种方法包括接收包括(i)指示特定实体类型的第一项和(ii)指示实体名称的第二项的话语的动作。 附加动作包括获得第二项的语音表示,并且确定第二项的语音表示符合与特定实体相关联的一组规范名称的特定规范名称的特定语音表示。 进一步的动作包括输出与特定实体相关联的参考名称作为第二项的转录。

    ACOUSTIC MODEL TRAINING USING CORRECTED TERMS

    公开(公告)号:US20180033426A1

    公开(公告)日:2018-02-01

    申请号:US15224104

    申请日:2016-07-29

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for speech recognition. One of the methods includes receiving first audio data corresponding to an utterance; obtaining a first transcription of the first audio data; receiving data indicating (i) a selection of one or more terms of the first transcription and (ii) one or more of replacement terms; determining that one or more of the replacement terms are classified as a correction of one or more of the selected terms; in response to determining that the one or more of the replacement terms are classified as a correction of the one or more of the selected terms, obtaining a first portion of the first audio data that corresponds to one or more terms of the first transcription; and using the first portion of the first audio data that is associated with the one or more terms of the first transcription to train an acoustic model for recognizing the one or more of the replacement terms.

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