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    Language model adaptation for specific texts
    3.
    发明授权
    Language model adaptation for specific texts 有权
    特定文本的语言模式适应

    公开(公告)号：US09256596B2

    公开(公告)日：2016-02-09

    申请号：US14307520

    申请日：2014-06-18

    Applicant: NICE-SYSTEMS LTD

    Inventor： Maor Nissan ,  Shimrit Artzi ,  Ronny Bretter

    IPC: G06F17/28 ,  G06F17/27

    CPC classification number: G06F17/2809 ,  G06F17/2715 ,  G06F17/2755 ,  G06F17/2785 ,  G06F17/2795 ,  G10L15/065 ,  G10L15/183

    Abstract: A computerized method for adapting a baseline language model, comprising obtaining a textual corpus of documents that comprise textual expressions, incorporating in the baseline language model textual expressions from documents which are determined as relevant to a provided target text based on a plurality of different relevancy determinations between the documents and the provided target text, thereby adapting the baseline language model to form an adapted language model for recognizing terms of a context of the provided target text, wherein the method is automatically performed on an at least one computerized apparatus configured to perform the method.

    Abstract translation: 一种用于调整基准语言模型的计算机化方法，包括获得包含文本表达的文档的文本语料库，其中包含基准语言模型的文本表达式，所述文本表达从基于多个不同相关性确定被确定为与所提供的目标文本相关的文档 在所述文档和所提供的目标文本之间，从而使所述基准语言模型适应形成用于识别所提供的目标文本的上下文的术语的适应语言模型，其中，所述方法在被配置为执行所述目标文本的至少一个计算机化设备 方法。

    System and method for automatic language model generation
    4.
    发明授权
    System and method for automatic language model generation 有权

    公开(公告)号：US09905224B2

    公开(公告)日：2018-02-27

    申请号：US14736277

    申请日：2015-06-11

    Applicant: NICE-SYSTEMS LTD.

    Inventor： Maor Nissan

    IPC: G10L15/19 ,  G10L15/26 ,  G10L15/187

    CPC classification number: G10L15/19 ,  G10L15/187

    Abstract: A computer-implemented method of generating a language model. An embodiment of a system and method may include selecting a set of words from a transcription of an audio input, the transcription produced by a current language model. The set of words may be used to obtain a set of content objects. The set of content objects may be used to generate a new language model. The current language model may be replaced by the new language model.

    SCRIPT COMPLIANCE IN SPOKEN DOCUMENTS
    5.
    发明申请
    SCRIPT COMPLIANCE IN SPOKEN DOCUMENTS 有权
    书面文件中的脚本符合性

    公开(公告)号：US20160133256A1

    公开(公告)日：2016-05-12

    申请号：US14538833

    申请日：2014-11-12

    Applicant: NICE-SYSTEMS LTD

    Inventor： Gennadi Lembersky ,  Maor Nissan ,  Ronny Bretter

    IPC: G10L15/26

    CPC classification number: G10L15/26 ,  G06Q10/06398 ,  G10L15/1815 ,  G10L15/197 ,  G10L25/48 ,  G10L2015/088 ,  H04M3/42221 ,  H04M3/5175

    Abstract: A method, computerized apparatus and computer program product for determining script compliance in interactions, the method comprising: receiving one or more indexed audio interaction; receiving a text representing a script; automatically extracting two or more key terms from the script; automatically generating a query representing the script, comprising: receiving one or more constraint associated with the at least two key terms; and determining spotted key terms of the key terms that appear in the indexed audio interactions; determining complied constraints; and determining a relevance score for each of the indexed audio interactions, based on the spotted key terms and the complied constraints.

    Abstract translation: 一种用于确定交互中的脚本依从性的方法，计算机化装置和计算机程序产品，所述方法包括：接收一个或多个索引音频交互; 接收表示脚本的文本; 自动从脚本中提取两个或多个关键词; 自动生成表示脚本的查询，包括：接收与所述至少两个关键词相关联的一个或多个约束; 并确定出现在索引音频互动中的关键术语的发现关键术语; 确定遵守的约束; 并且基于所检测的关键术语和所述约束的约束来确定每个索引的音频交互的相关性得分。

    Out of vocabulary pattern learning
    6.
    发明授权
    Out of vocabulary pattern learning 有权

    公开(公告)号：US09607618B2

    公开(公告)日：2017-03-28

    申请号：US14571347

    申请日：2014-12-16

    Applicant: NICE-SYSTEMS LTD

    Inventor： Maor Nissan ,  Ronny Bretter

    IPC: G10L15/183 ,  G10L15/187 ,  G10L15/14

    CPC classification number: G10L15/183 ,  G10L15/146 ,  G10L15/187

    Abstract: A method for adapting a speech recognition system for out-of-vocabulary, comprising, decoding by a hybrid speech recognition a speech including out-of-vocabulary terms, thereby generating graphemic transcriptions of the speech with a mixture of recognized in-vocabulary words and unrecognized sub-words, while keeping a track of the decoded segments of the speech, determining in the transcription sequences of sub-words as candidate out-of-vocabulary words based on a first condition with respect to lengths of the sequences of sub-words and a second condition with respect to the number of repetitions of the sequences, audibly presenting to a user the candidate out-of-vocabulary words from the corresponding segments of the speech according to the track, and receiving from the user indications of valid words corresponding to audible presentations of the sequences of sub-words in the candidate out-of-vocabulary words, and training a speech recognition to additionally recognize the candidate out-of-vocabulary words, thereby adapting the speech recognition to recognize out-of-vocabulary words, wherein the method is performed on an at least one computerized apparatus configured to perform the method, and an apparatus for performing the same.

    Language model adaptation based on filtered data
    7.
    发明授权
    Language model adaptation based on filtered data 有权
    基于过滤数据的语言模型适应

    公开(公告)号：US09564122B2

    公开(公告)日：2017-02-07

    申请号：US14224086

    申请日：2014-03-25

    Applicant: NICE-SYSTEMS LTD

    Inventor： Ronny Bretter ,  Shimrit Artzi ,  Maor Nissan

    IPC: G10L15/00 ,  G06F17/27

    CPC classification number: G10L15/00 ,  G06F17/2785 ,  G10L15/065 ,  G10L15/183

    Abstract: A method for adapting a language model for a context of a domain, comprising obtaining textual contents from a large source by a request directed to the context of the domain, discarding at least a part of the textual contents that contain textual terms determined as irrelevant to the context of the domain, thereby retaining, as retained data, at least a part of the textual contents that contain textual terms determined as relevant to the context of the domain, and adapting the language model by incorporating therein at least a part of the textual terms of the retained data, wherein the method is performed on an at least one computerized apparatus configured to perform the method and equipped for communication with the large source, and an apparatus for performing the same.

    Abstract translation: 一种用于适应域的上下文的语言模型的方法，包括通过针对所述域的上下文的请求从大来源获取文本内容，丢弃包含被确定为不相关的文本术语的文本内容的至少一部分 从而保留作为保留数据的文本内容的至少一部分文本内容，该文本内容包含与域的上下文相关的文本术语，并且通过在其中并入至少一部分文本来适应语言模型 所述保留数据的条件，其中，所述方法在被配置为执行所述方法并被配备为与所述大源进行通信的至少一个计算机化装置上执行，以及用于执行所述方法的装置。

    USER-AIDED ADAPTATION OF A PHONETIC DICTIONARY
    8.
    发明申请
    USER-AIDED ADAPTATION OF A PHONETIC DICTIONARY 有权
    用户自适应电话词典

    公开(公告)号：US20160180835A1

    公开(公告)日：2016-06-23

    申请号：US14580331

    申请日：2014-12-23

    Applicant: NICE-SYSTEMS LTD

    Inventor： Maor Nissan ,  Ronny Bretter

    IPC: G10L15/06 ,  G10L15/02

    CPC classification number: G10L15/063 ,  G10L15/187 ,  G10L2015/025 ,  G10L2015/0638

    Abstract: A method for adapting a phonetic dictionary for peculiarities of a speech of an at least one speaker, comprising generating search pronunciations for a search term, retrieving audio sections from an audio database for each search pronunciation, audibly presenting to a person the audio sections of the speech of the at least one speaker, and updating the phonetic dictionary based on acceptability of the audio sections determined from judgments by the person regarding intelligibility of the audio sections in audibly pronouncing the provided at least one word, wherein the method is performed on an at least one computerized apparatus configured to perform the method.

    Abstract translation: 一种用于对至少一个说话者的语音的特性进行适应语音字典的方法，包括产生用于搜索词语的搜索发音，从每个搜索发音的音频数据库检索音频部分，向人们呈现音频部分的音频部分 并且基于由人关于可听见地发音所提供的至少一个单词的音频部分的可懂度确定的音频部分的可接受性来更新语音字典，其中该方法在一个 配置为执行该方法的至少一个计算机化装置。

    LANGUAGE MODEL ADAPTATION BASED ON FILTERED DATA
    9.
    发明申请
    LANGUAGE MODEL ADAPTATION BASED ON FILTERED DATA 有权
    基于过滤数据的语言模型适应

    公开(公告)号：US20150278192A1

    公开(公告)日：2015-10-01

    申请号：US14224086

    申请日：2014-03-25

    Applicant: NICE-SYSTEMS LTD

    Inventor： Ronny Bretter ,  Shimrit Artzi ,  Maor Nissan

    IPC: G06F17/27 ,  G06F17/28

    CPC classification number: G10L15/00 ,  G06F17/2785 ,  G10L15/065 ,  G10L15/183

    Abstract: A method for adapting a language model for a context of a domain, comprising obtaining textual contents from a large source by a request directed to the context of the domain, discarding at least a part of the textual contents that contain textual terms determined as irrelevant to the context of the domain, thereby retaining, as retained data, at least a part of the textual contents that contain textual terms determined as relevant to the context of the domain, and adapting the language model by incorporating therein at least a part of the textual terms of the retained data, wherein the method is performed on an at least one computerized apparatus configured to perform the method and equipped for communication with the large source, and an apparatus for performing the same.

    Abstract translation: 一种用于适应域的上下文的语言模型的方法，包括通过针对所述域的上下文的请求从大来源获取文本内容，丢弃包含被确定为不相关的文本术语的文本内容的至少一部分 从而保留作为保留数据的文本内容的至少一部分文本内容，该文本内容包含与域的上下文相关的文本术语，并且通过在其中并入至少一部分文本来适应语言模型 所述保留数据的条件，其中，所述方法在被配置为执行所述方法并被配备为与所述大源进行通信的至少一个计算机化装置上执行，以及用于执行所述方法的装置。

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