Natural Language Module Store
    23.
    发明申请

    公开(公告)号:US20170154628A1

    公开(公告)日:2017-06-01

    申请号:US14954810

    申请日:2015-11-30

    CPC classification number: G06F17/28 G06F17/271 G06Q30/0283 G10L15/30

    Abstract: The present invention extends to methods, systems, and computer program products for a natural language module store. In general, the invention can be used to manage natural language modules offered through a natural language module store. Natural language module (NLM) developers can post NLMs at a NLM store to make the NLMs available for use by others. Developers can select NLMs for inclusion in natural language interpreters (NLIs) containing (and possibly integrating the functionality of) one or more NLMs. Prior to selecting a NLM, a developer can search or browse NLMs to identify an appropriate NLM. Optionally, a developer can test a NLM in the NLM store prior to inclusion in an NLI. For example, multiple NLMs purporting to provide the same specified natural language functionality can be tested relative to one another prior to selection of one of the NLMs for inclusion in an NLI.

    System and method for matching a query against a broadcast stream
    24.
    发明授权
    System and method for matching a query against a broadcast stream 有权
    用于将查询与广播流匹配的系统和方法

    公开(公告)号:US09563699B1

    公开(公告)日:2017-02-07

    申请号:US14692310

    申请日:2015-04-21

    Abstract: A method for matching a query against a broadcast stream includes receiving one or more broadcast streams, from which it generates and stores an audio fingerprint of a selected portion of each received broadcast stream. A query is received from which the method generates an audio fingerprint. From that point, the method continues by identifying audio content from the query, using the query audio fingerprint and a database of indexed audio content. The method concludes by identifying the source of the query using the query audio fingerprint and the stored audio fingerprints. Embodiments of the method further include predictively caching audio fingerprint sequences and corresponding audio item identifiers from a server after storing audio fingerprints extracted from the broadcast stream; and using the predictively cached audio fingerprint sequences to identify an audio item within the audio signal based on at least some additional audio fingerprints of the audio signal.

    Abstract translation: 用于将查询与广播流匹配的方法包括接收一个或多个广播流,从而生成并存储每个接收的广播流的所选部分的音频指纹。 接收到该方法生成音频指纹的查询。 从那时起,该方法通过使用查询音频指纹和索引的音频内容的数据库识别来自查询的音频内容来继续。 该方法通过使用查询音频指纹和存储的音频指纹识别查询的来源得出结论。 该方法的实施例还包括在存储从广播流中提取的音频指纹之后,从服务器预测性地缓存音频指纹序列和对应的音频项目标识符; 以及使用所述预测缓存的音频指纹序列基于所述音频信号的至少一些附加音频指纹来识别所述音频信号内的音频项目。

    System and method for performing dual mode speech recognition
    25.
    发明授权
    System and method for performing dual mode speech recognition 有权
    用于执行双模式语音识别的系统和方法

    公开(公告)号:US09330669B2

    公开(公告)日:2016-05-03

    申请号:US14621024

    申请日:2015-02-12

    Abstract: A system and method is presented for performing dual mode speech recognition, employing a local recognition module on a mobile device and a remote recognition engine on a server device. The system accepts a spoken query from a user, and both the local recognition module and the remote recognition engine perform speech recognition operations on the query, returning a transcription and confidence score, subject to a latency cutoff time. If both sources successfully transcribe the query, then the system accepts the result having the higher confidence score. If only one source succeeds, then that result is accepted. In either case, if the remote recognition engine does succeed in transcribing the query, then a client vocabulary is updated if the remote system result includes information not present in the client vocabulary.

    Abstract translation: 提出了一种用于执行双模式语音识别的系统和方法,在移动设备上使用本地识别模块和在服务器设备上使用远程识别引擎。 该系统接受来自用户的口语查询,并且本地识别模块和远程识别引擎都对查询执行语音识别操作,返回转录和置信度得分,并受到延迟截止时间的限制。 如果两个来源成功地转录查询,则系统接受具有较高置信度得分的结果。 如果只有一个源成功,则该结果被接受。 在任一情况下,如果远程识别引擎确实成功地转录查询,则如果远程系统结果包括客户端词汇中不存在的信息,则更新客户词汇。

    SYSTEM AND METHOD FOR PERFORMING DUAL MODE SPEECH RECOGNITION
    27.
    发明申请
    SYSTEM AND METHOD FOR PERFORMING DUAL MODE SPEECH RECOGNITION 有权
    用于执行双模式语音识别的系统和方法

    公开(公告)号:US20150154959A1

    公开(公告)日:2015-06-04

    申请号:US14621024

    申请日:2015-02-12

    Abstract: A system and method is presented for performing dual mode speech recognition, employing a local recognition module on a mobile device and a remote recognition engine on a server device. The system accepts a spoken query from a user, and both the local recognition module and the remote recognition engine perform speech recognition operations on the query, returning a transcription and confidence score, subject to a latency cutoff time. If both sources successfully transcribe the query, then the system accepts the result having the higher confidence score. If only one source succeeds, then that result is accepted. In either case, if the remote recognition engine does succeed in transcribing the query, then a client vocabulary is updated if the remote system result includes information not present in the client vocabulary.

    Abstract translation: 提出了一种用于执行双模式语音识别的系统和方法,在移动设备上使用本地识别模块和在服务器设备上使用远程识别引擎。 该系统接受来自用户的口语查询,并且本地识别模块和远程识别引擎都对查询执行语音识别操作,返回转录和置信度得分,并受到延迟截止时间的限制。 如果两个来源成功地转录查询,则系统接受具有较高置信度得分的结果。 如果只有一个源成功,则该结果被接受。 在任一情况下,如果远程识别引擎确实成功地转录查询,则如果远程系统结果包括客户端词汇中不存在的信息,则更新客户词汇。

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