Dialect-specific acoustic language modeling and speech recognition

    公开(公告)号:US11164566B2

    公开(公告)日:2021-11-02

    申请号:US15972719

    申请日:2018-05-07

    Abstract: Methods and systems for automatic speech recognition and methods and systems for training acoustic language models are disclosed. In accordance with one automatic speech recognition method, an acoustic input data set is analyzed to identify portions of the input data set that conform to a general language and to identify portions of the input data set that conform to at least one dialect of the general language. In addition, a general language model and at least one dialect language model is applied to the input data set to perform speech recognition by dynamically selecting between the models in accordance with each of the identified portions. Further, speech recognition results obtained in accordance with the application of the models is output.

    METHOD AND SYSTEM FOR EFFICIENT SPOKEN TERM DETECTION USING CONFUSION NETWORKS
    5.
    发明申请
    METHOD AND SYSTEM FOR EFFICIENT SPOKEN TERM DETECTION USING CONFUSION NETWORKS 有权
    使用混沌网络进行有效检测的方法和系统

    公开(公告)号:US20150279358A1

    公开(公告)日:2015-10-01

    申请号:US14230790

    申请日:2014-03-31

    Abstract: Systems and methods for spoken term detection are provided. A method for spoken term detection, comprises receiving phone level out-of-vocabulary (OOV) keyword queries, converting the phone level OOV keyword queries to words, generating a confusion network (CN) based keyword searching (KWS) index, and using the CN based KWS index for both in-vocabulary (IV) keyword queries and the OOV keyword queries.

    Abstract translation: 提供了用于词汇检测的系统和方法。 一种用于口语术语检测的方法,包括接收电话级词汇(OOV)关键字查询,将电话级OOV关键字查询转换为单词,生成基于混合网络(CN)的关键词搜索(KWS)索引,并使用 基于CN的KWS索引用于词汇(IV)关键词查询和OOV关键字查询。

    METHOD AND SYSTEM FOR ORDER-FREE SPOKEN TERM DETECTION
    8.
    发明申请
    METHOD AND SYSTEM FOR ORDER-FREE SPOKEN TERM DETECTION 有权
    方法和系统,用于无订单发射检测

    公开(公告)号:US20160267906A1

    公开(公告)日:2016-09-15

    申请号:US14644817

    申请日:2015-03-11

    CPC classification number: G10L15/193 G10L2015/085 G10L2015/088

    Abstract: A method for spoken term detection, comprising generating a time-marked word list, wherein the time-marked word list is an output of an automatic speech recognition system, generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, receiving a plurality of keyword queries, and searching the index for a plurality of keyword hits.

    Abstract translation: 一种用于语音词语检测的方法,包括产生时间标记词列表,其中所述时间标记词列表是自动语音识别系统的输出,从所述时间标记词列表生成索引,其中生成所述索引包括创建 用于每个话语的字循环加权有限状态换能器,i,接收多个关键词查询,以及搜索索引以获得多个关键字命中。

Patent Agency Ranking