公开(公告)号：US10853420B2

公开(公告)日：2020-12-01

申请号：US15681741

申请日：2017-08-21

申请人： AT&T INTELLECTUAL PROPERTY I, L.P.

发明人： Srinivas Bangalore ,  Junlan Feng ,  Michael J. Johnston ,  Taniya Mishra

IPC分类号： G06F16/00 ,  G06F16/9032 ,  G06F16/23 ,  G06F16/907

摘要： Extracting, from user activity data, quantitative attributes and qualitative attributes collected for users having user profiles. The quantitative attributes and the qualitative attributes are extracted during a specified time period determined before the user activity data is collected. Values for the quantitative attributes and the qualitative attributes are plotted, and subsets of the user profiles are clustered into separate group of users based on the plotted values. Delivering a product related content to the groups of users based on the clustering.

公开(公告)号：US10672381B2

公开(公告)日：2020-06-02

申请号：US15980201

申请日：2018-05-15

申请人： AT&T Intellectual Property I, L.P.

发明人： Amanda Stent ,  Srinivas Bangalore

IPC分类号： G10L15/22 ,  G10L15/06 ,  G10L15/08 ,  G10L15/183 ,  G06F40/12 ,  G06F40/137 ,  G10L15/00 ,  G10L15/04 ,  G10L25/12 ,  G10L15/18 ,  G06F40/154

摘要： Disclosed herein are systems, computer-implemented methods, and computer-readable media for dialog modeling. The method includes receiving spoken dialogs annotated to indicate dialog acts and task/subtask information, parsing the spoken dialogs with a hierarchical, parse-based dialog model which operates incrementally from left to right and which only analyzes a preceding dialog context to generate parsed spoken dialogs, and constructing a functional task structure of the parsed spoken dialogs. The method can further either interpret user utterances with the functional task structure of the parsed spoken dialogs or plan system responses to user utterances with the functional task structure of the parsed spoken dialogs. The parse-based dialog model can be a shift-reduce model, a start-complete model, or a connection path model.

公开(公告)号：US10114818B2

公开(公告)日：2018-10-30

申请号：US15294883

申请日：2016-10-17

申请人： AT&T Intellectual Property I, L.P.

发明人： Luciano De Andrade Barbosa ,  Srinivas Bangalore ,  Vivek Kumar Rangarajan Sridhar

IPC分类号： G06F17/28 ,  G06F17/27 ,  G06F17/30

摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for bootstrapping a language translation system. A system configured to practice the method performs a bidirectional web crawl to identify a bilingual website. The system analyzes data on the bilingual website to make a classification decision about whether the root of the bilingual website is an entry point for the bilingual website. The bilingual site can contain pairs of parallel pages. Each pair can include a first website in a first language and a second website in a second language, and a first portion of the first web page corresponds to a second portion of the second web page. Then the system analyzes the first and second web pages to identify corresponding information pairs in the first and second languages, and extracts the corresponding information pairs from the first and second web pages for use in a language translation model.

公开(公告)号：US20150279361A1

公开(公告)日：2015-10-01

申请号：US14737708

申请日：2015-06-12

申请人： AT&T Intellectual Property I, L.P.

发明人： Dan Melamed ,  Srinivas Bangalore ,  Michael Johnston

IPC分类号： G10L15/18

CPC分类号： G10L25/51 ,  G06F3/162 ,  G10L15/05 ,  G10L15/07 ,  G10L15/18 ,  G10L15/183 ,  G10L15/19 ,  G10L15/30 ,  G10L17/04 ,  G10L2015/228

摘要： Disclosed herein are systems, methods, and computer-readable storage media for improving speech recognition accuracy using textual context. The method includes retrieving a recorded utterance, capturing text from a device display associated with the spoken dialog and viewed by one party to the recorded utterance, and identifying words in the captured text that are relevant to the recorded utterance. The method further includes adding the identified words to a dynamic language model, and recognizing the recorded utterance using the dynamic language model. The recorded utterance can be a spoken dialog. A time stamp can be assigned to each identified word. The method can include adding identified words to and/or removing identified words from the dynamic language model based on their respective time stamps. A screen scraper can capture text from the device display associated with the recorded utterance. The device display can contain customer service data.

摘要翻译： 本文公开了用于使用文本上下文改善语音识别精度的系统，方法和计算机可读存储介质。 所述方法包括检索记录的话语，从与所述口语对话相关联的设备显示中捕获文本并由一方观看所述记录的话语，以及识别与记录的话语相关的所捕获的文本中的单词。 该方法还包括将所识别的词添加到动态语言模型中，并使用动态语言模型来识别记录的话语。 记录的话语可以是一个口语对话。 时间戳可以分配给每个识别的单词。 该方法可以包括基于它们各自的时间戳将识别的词添加到动态语言模型中和/或从动态语言模型中移除所识别的单词。 屏幕刮刀可以从与记录的话语相关联的设备显示中捕获文本。 设备显示可以包含客户服务数据。

公开(公告)号：US08566096B2

公开(公告)日：2013-10-22

申请号：US13648647

申请日：2012-10-10

申请人： AT&T Intellectual Property I, L.P.

发明人： Srinivas Bangalore ,  Mazin Gilbert ,  Narendra Gupta

IPC分类号： G10L15/00

CPC分类号： G06F17/2785

摘要： A system to generate a response to a text-based natural language message includes a user interface, processing device, and a computer-readable storage medium storing executable instructions to generate the response to the text-based natural language message. The instructions and a method for generating the response include identifying a sentence in the text-based natural language message, identifying an input clause in the sentence, and parsing the input clause, thereby defining a relationship between words in the input clause. The instructions and method also include assigning a semantic tag to the parsed input clause, comparing the input clause to a previously received clause, the previously received clause being correlated with a previously generated response clause, and generating an output response message derived from the previously generated response clause.

摘要翻译： 生成对基于文本的自然语言消息的响应的系统包括用户界面，处理设备和存储可执行指令以产生对基于文本的自然语言消息的响应的计算机可读存储介质。 用于生成响应的指令和方法包括识别基于文本的自然语言消息中的句子，识别句子中的输入子句，以及解析输入子句，由此定义输入子句中的单词之间的关系。 指令和方法还包括将语义标签分配给解析的输入子句，将输入子句与先前接收到的子句进行比较，先前接收到的子句与先前生成的响应子句相关联，并生成从先前生成的输出响应消息 回应条款。

公开(公告)号：US20130218561A1

公开(公告)日：2013-08-22

申请号：US13847173

申请日：2013-03-19

申请人： AT & T Intellectual Property I, L.P.

发明人： Michael Johnston ,  Srinivas Bangalore ,  Junlan Feng ,  Taniya Mishra

IPC分类号： G06F17/30

CPC分类号： G06F17/30026 ,  G06F17/30976 ,  G06F17/30979 ,  G10L15/22 ,  G10L2015/227

摘要： Disclosed herein are systems, methods, and non-transitory computer-readable storage media for approximating responses to a user speech query in voice-enabled search based on metadata that include demographic features of the speaker. A system practicing the method recognizes received speech from a speaker to generate recognized speech, identifies metadata about the speaker from the received speech, and feeds the recognized speech and the metadata to a question-answering engine. Identifying the metadata about the speaker is based on voice characteristics of the received speech. The demographic features can include age, gender, socio-economic group, nationality, and/or region. The metadata identified about the speaker from the received speech can be combined with or override self-reported speaker demographic information.

摘要翻译： 本文公开的是基于包括说话者的人口统计特征的元数据的用于在基于语音的搜索中近似对用户语音查询的响应的系统，方法和非暂时计算机可读存储介质。 实施该方法的系统识别来自扬声器的接收到的语音以产生识别的语音，从接收到的语音识别关于说话者的元数据，并将识别的语音和元数据馈送到问答引擎。 识别关于扬声器的元数据是基于所接收语音的语音特征。 人口特征可以包括年龄，性别，社会经济群体，国籍和/或地区。 从接收到的语音中识别的关于说话者的元数据可以与自报告的说话者人口统计信息进行组合或覆盖。

公开(公告)号：US11488582B2

公开(公告)日：2022-11-01

申请号：US16889672

申请日：2020-06-01

申请人： AT&T Intellectual Property I, L.P.

发明人： Amanda Stent ,  Srinivas Bangalore

IPC分类号： G10L15/22 ,  G10L15/06 ,  G10L15/08 ,  G10L15/183 ,  G06F40/12 ,  G06F40/137 ,  G10L15/00 ,  G10L15/04 ,  G10L25/12 ,  G10L15/18 ,  G06F40/154

摘要： Disclosed herein are systems, computer-implemented methods, and computer-readable media for dialog modeling. The method includes receiving spoken dialogs annotated to indicate dialog acts and task/subtask information, parsing the spoken dialogs with a hierarchical, parse-based dialog model which operates incrementally from left to right and which only analyzes a preceding dialog context to generate parsed spoken dialogs, and constructing a functional task structure of the parsed spoken dialogs. The method can further either interpret user utterances with the functional task structure of the parsed spoken dialogs or plan system responses to user utterances with the functional task structure of the parsed spoken dialogs. The parse-based dialog model can be a shift-reduce model, a start-complete model, or a connection path model.

公开(公告)号：US09501470B2

公开(公告)日：2016-11-22

申请号：US13761549

申请日：2013-02-07

申请人： AT&T Intellectual Property I, L.P.

发明人： Srinivas Bangalore ,  Vivek Kumar Rangarajan Sridhar

IPC分类号： G06F17/28 ,  G06F17/27

CPC分类号： G06F17/28 ,  G06F17/279 ,  G06F17/289

摘要： Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for enriching spoken language translation with dialog acts. The method includes receiving a source speech signal, tagging dialog acts associated with the received source speech signal using a classification model, dialog acts being domain independent descriptions of an intended action a speaker carries out by uttering the source speech signal, producing an enriched hypothesis of the source speech signal incorporating the dialog act tags, and outputting a natural language response of the enriched hypothesis in a target language. Tags can be grouped into sets such as statement, acknowledgement, abandoned, agreement, question, appreciation, and other. The step of producing an enriched translation of the source speech signal uses a dialog act specific translation model containing a phrase translation table.

公开(公告)号：US09465870B2

公开(公告)日：2016-10-11

申请号：US14850100

申请日：2015-09-10

申请人： AT&T Intellectual Property I, L.P.

发明人： Srinivas Bangalore

IPC分类号： H04L29/06 ,  G06F21/00 ,  G06F17/30 ,  G10L15/26 ,  H04N21/439 ,  H04N21/4402 ,  H04N21/482 ,  H04N21/8547 ,  G09B21/00

CPC分类号： G06F17/30796 ,  G09B21/006 ,  G10L15/26 ,  H04N21/4394 ,  H04N21/440236 ,  H04N21/4828 ,  H04N21/8547

摘要： Disclosed are systems, methods, and computer readable media for retrieving digital images. The method embodiment includes converting a descriptive audio stream of a digital video that is provided for the visually impaired to text and then aligning that text to the appropriate segment of the digital video. The system then indexes the converted text from the descriptive audio stream with the text's relationship to the digital video. The system enables queries using action words describing a desired scene from a digital video.

公开(公告)号：US09396252B2

公开(公告)日：2016-07-19

申请号：US14554200

申请日：2014-11-26

申请人： AT&T Intellectual Property I, L.P.

发明人： Srinivas Bangalore

IPC分类号： G06F17/30 ,  G10L15/26

CPC分类号： G06F17/30684 ,  G06F17/30864 ,  G06F17/30976 ,  G10L15/26 ,  G10L15/265

摘要： Disclosed herein are systems, methods, and computer-readable storage media for receiving a user's spoken search query that the system will incrementally recognize and identify search terms. After the query has been incrementally recognized, the system will use the search terms to retrieve a portion of the search results that are based on usable identified search terms. As the results are found, the system will then output at least part at least part of the retrieved portion of search results on the display prior to the user concluding his or her search query.

摘要翻译： 本文公开了用于接收用户的口语搜索查询的系统，方法和计算机可读存储介质，系统将逐步识别和识别搜索项。 在逐渐识别查询之后，系统将使用搜索项来检索基于可用的识别搜索项的搜索结果的一部分。 当搜索结果被发现时，系统将在用户结束他或她的搜索查询之前在显示器上输出至少部分被检索的搜索结果部分的部分。