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公开(公告)号：US20130097264A1
公开(公告)日：2013-04-18
申请号：US13690929
申请日：2012-11-30
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.
Inventor： Srinivas BANGALORE , Mazin GILBERT
CPC classification number: H04L51/02 , G06Q10/06 , G06Q10/06311 , G06Q10/063112 , G06Q30/0207 , G06Q30/0245
Abstract: A system and method disclosed for using and updating a database of template responses for a live agent in response to user communications. The method includes computing an average string distance between each response from a live agent and a template, use to generate the response, modifying the computed average string distance based on a customer satisfaction score associated with each response and selecting a response that minimizes the computed average string distance and maximizes customer satisfaction. Upon receiving a further communication on a certain issue, the system presents a prototype response that has been added to the template database to the live agent for use in generating a response to the further communication that reduces handling time and increases customer satisfaction.
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公开(公告)号：US20190280935A1
公开(公告)日：2019-09-12
申请号：US15912822
申请日：2018-03-06
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Syed Anwar AFTAB , John MURRAY , Kazi FAROOQUI , Mazin GILBERT
Abstract: An automated and model driven mini-cloud deployment method comprising: instantiating a model driven orchestrator; parsing a blueprint to develop a virtual network function topology including: identifying infrastructure components required to establish at least one virtual network function; identifying at least one dependency for the at least one virtual network function; providing a sequence for calling life cycle operations; the model driven orchestrator effectuates the life cycle operations comprising: establishing a uCPE as a tenant within a network registry, configuring the uCPE, and activating the uCPE; and instantiating the at least one virtual network function on the uCPE according to the virtual network function topology.
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公开(公告)号：US20160329045A1
公开(公告)日：2016-11-10
申请号：US15212908
申请日：2016-07-18
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Andrej LJOLJE , Diamantino Antonio CASEIRO , Mazin GILBERT , Vincent GOFFIN , Taniya Mishra
CPC classification number: G10L15/063 , G10L15/01 , G10L15/18 , G10L15/26 , G10L2015/0635
Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for assigning saliency weights to words of an ASR model. The saliency values assigned to words within an ASR model are based on human perception judgments of previous transcripts. These saliency values are applied as weights to modify an ASR model such that the results of the weighted ASR model in converting a spoken document to a transcript provide a more accurate and useful transcription to the user.
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Patent Agency Ranking
4.发明申请公开(公告)号：US20150073797A1
公开(公告)日：2015-03-12
申请号：US14539221
申请日：2014-11-12
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Alistair D. CONKIE , Mazin GILBERT , Andrej LJOLJE
CPC classification number: G06F17/277 , G10L15/063 , G10L15/187
Abstract: The present disclosure relates to systems, methods, and computer-readable media for generating a lexicon for use with speech recognition. The method includes overgenerating potential pronunciations based on symbolic input, identifying potential pronunciations in a speech recognition context, and storing the identified potential pronunciations in a lexicon. Overgenerating potential pronunciations can include establishing a set of conversion rules for short sequences of letters, converting portions of the symbolic input into a number of possible lexical pronunciation variants based on the set of conversion rules, modeling the possible lexical pronunciation variants in one of a weighted network and a list of phoneme lists, and iteratively retraining the set of conversion rules based on improved pronunciations. Symbolic input can include multiple examples of a same spoken word. Speech data can be labeled explicitly or implicitly and can include words as text and recorded audio.
Abstract translation: 本公开涉及用于生成用于语音识别的词典的系统，方法和计算机可读介质。 该方法包括基于符号输入过度生成潜在发音，识别语音识别语境中的潜在发音，以及将识别的潜在发音存储在词典中。 过度生成潜在发音可以包括为短的字母序列建立一组转换规则，基于一组转换规则将符号输入的部分转换成许多可能的词汇发音变体，对可能的词汇发音变体在加权 网络和音素列表，并且基于改进的发音迭代地重新训练一组转换规则。 符号输入可以包括相同口语单词的多个示例。 语音数据可以被明确地或隐含地标记，并且可以将单词包括为文本和记录的音频。
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公开(公告)号：US20150055764A1
公开(公告)日：2015-02-26
申请号：US14526933
申请日：2014-10-29
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.
Inventor： Mazin GILBERT
CPC classification number: H04M3/4936 , G10L17/04 , G10L17/14 , H04M3/385 , H04M3/42221 , H04M3/51 , H04M2201/36 , H04M2201/41 , H04M2203/6045
Abstract: A method includes receiving a communication from a party at a voice response system and capturing speech spoken by the party during the communication. Then a processor creates a voice model of the party, the voice model being created by processing the speech, without notifying the party. The voice model is then stored to provide voice verification during a subsequent communication.
Abstract translation: 一种方法包括从语音响应系统中的一方接收通信，并且在通信期间捕获由该方通话的语音。 然后，处理器创建该方的语音模型，该语音模型是通过处理该语音而创建的，而不通知该方。 然后存储语音模型以在随后的通信期间提供语音验证。
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6.发明申请System and Method for Combining Speech Recognition Outputs From a Plurality of Domain-Specific Speech Recognizers Via Machine Learning 审中-公开通过机器学习从多个领域特定的语音识别器中组合语音识别输出的系统和方法公开(公告)号：US20140358537A1
公开(公告)日：2014-12-04
申请号：US14459719
申请日：2014-08-14
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Mazin GILBERT , Srinivas BANGALORE , Patrick HAFFNER , Robert BELL
CPC classification number: G10L15/32 , G10L15/063 , G10L15/26 , G10L2015/0638
Abstract: Disclosed herein are systems, methods and non-transitory computer-readable media for performing speech recognition across different applications or environments without model customization or prior knowledge of the domain of the received speech. The disclosure includes recognizing received speech with a collection of domain-specific speech recognizers, determining a speech recognition confidence for each of the speech recognition outputs, selecting speech recognition candidates based on a respective speech recognition confidence for each speech recognition output, and combining selected speech recognition candidates to generate text based on the combination.
Abstract translation: 本文公开了用于在不需要模型定制或接收到的语音的领域的先前知识的情况下在不同的应用或环境上执行语音识别的系统，方法和非暂时的计算机可读介质。 该公开内容包括：利用特定领域的语音识别器的集合来识别接收的语音，为每个语音识别输出确定语音识别置信度，基于每个语音识别输出的相应语音识别置信度选择语音识别候选，以及组合所选语音 识别候选人基于组合生成文本。
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公开(公告)号：US20130156166A1
公开(公告)日：2013-06-20
申请号：US13767460
申请日：2013-02-14
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.
Inventor： Mazin GILBERT
IPC: H04M3/38
CPC classification number: H04M3/4936 , G10L17/04 , G10L17/14 , H04M3/385 , H04M3/42221 , H04M3/51 , H04M2201/36 , H04M2201/41 , H04M2203/6045
Abstract: A method includes receiving a communication from a party at a voice response system and capturing verbal communication spoken by the party. Then a processor creates a voice model associated with the party, the voice model being created by processing the captured verbal communication spoken by the party. The creation of the voice model is imperceptible to the party. The voice model is then stored to provide voice verification of the party during a subsequent communication.
Abstract translation: 一种方法包括从语音响应系统的一方接收通信并捕获由该方所说的口头通信。 然后，处理器创建与该方相关联的语音模型，该语音模型是通过处理由该方所说出的所捕获的语言通信来创建的。 声音模式的创建是党无法察觉的。 然后存储语音模型以在随后的通信期间提供对方的语音验证。
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8.发明申请SYSTEM AND METHOD FOR PERFORMING SPEECH ANALYTICS WITH OBJECTIVE FUNCTION AND FEATURE CONSTAINTS 审中-公开用目标函数和特征参数进行语音分析的系统和方法公开(公告)号：US20160078360A1
公开(公告)日：2016-03-17
申请号：US14953786
申请日：2015-11-30
Applicant: AT&T Intellectual Property I, L.P.
Inventor： ILYA Dan MELAMED , Mazin GILBERT
CPC classification number: G06N7/005 , G06F16/3344 , G06Q30/01
Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for performing trend analysis of speech. A system practicing the method receives a speech trend analysis request having candidate feature constraints, an objective function with respect to a speech trend to be analyzed, and a set of speech record constraints. The system selects a subset of speech records from the group of speech records based on the set of speech record constraints to yield selected speech records, identifies features in the selected speech records based on the set of candidate feature constraints to yield identified features, and assigns a weight to each of the identified features based on the objective function. Then the system ranks the identified features by their respective weights to yield ranked identified features, and outputs at least one of the ranked identified features associated with a speech-based trend in response to the speech trend analysis request.
Abstract translation: 这里公开了用于执行语音趋势分析的系统，方法和非暂时的计算机可读存储介质。 实施该方法的系统接收具有候选特征约束的语音趋势分析请求，关于待分析的语音趋势的目标函数和一组语音记录约束。 该系统基于语音记录约束集从语音记录组中选择语音记录的子集，以产生所选择的语音记录，基于候选特征约束集来识别所选语音记录中的特征，以产生所识别的特征，并且分配 基于目标函数对每个识别的特征的权重。 然后，系统通过它们各自的权重对所识别的特征进行排序，以产生排名确定的特征，并响应于语音趋势分析请求输出与基于语音的趋势相关联的排名确定的特征中的至少一个。
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