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    • 1. 发明申请
    • SYSTEM AND METHOD FOR USING PROSODY FOR VOICE-ENABLED SEARCH
    • 用于语音启发搜索的系统和方法
    • US20120072217A1
    • 2012-03-22
    • US12884959
    • 2010-09-17
    • Srinivas BANGALOREJunlan FengMichael JohnstonTaniya Mishra
    • Srinivas BANGALOREJunlan FengMichael JohnstonTaniya Mishra
    • G10L15/06
    • G10L15/1807G10L25/54G10L25/63G10L2015/226G10L2015/227
    • Disclosed herein are systems, methods, and non-transitory computer-readable storage media for approximating relevant responses to a user query with voice-enabled search. A system practicing the method receives a word lattice generated by an automatic speech recognizer based on a user speech and a prosodic analysis of the user speech, generates a reweighted word lattice based on the word lattice and the prosodic analysis, approximates based on the reweighted word lattice one or more relevant responses to the query, and presents to a user the responses to the query. The prosodic analysis examines metalinguistic information of the user speech and can identify the most salient subject matter of the speech, assess how confident a speaker is in the content of his or her speech, and identify the attitude, mood, emotion, sentiment, etc. of the speaker. Other information not described in the content of the speech can also be used.
    • 本文公开了用于使用具有语音的搜索近似对用户查询的相关响应的系统,方法和非暂时的计算机可读存储介质。 实施该方法的系统基于用户语音和用户语音的韵律分析接收由自动语音识别器生成的单词格,基于单词格点和韵律分析生成重新加权的词格,基于重新加权的词近似 对查询进行一个或多个相关响应,并向用户呈现对查询的响应。 韵律分析检查用户言语的金属语言信息,可以确定演讲中最突出的主题,评估演讲者在演讲内容中的信心,并确定态度,情绪,情感等情绪。 的演讲者。 还可以使用在语音内容中未描述的其他信息。
    • 4. 发明申请
    • SYSTEM AND METHOD FOR TIGHTLY COUPLING AUTOMATIC SPEECH RECOGNITION AND SEARCH
    • 用于轻松连接自动语音识别和搜索的系统和方法
    • US20110144995A1
    • 2011-06-16
    • US12638649
    • 2009-12-15
    • Srinivas BANGALORETaniya MISHRA
    • Srinivas BANGALORETaniya MISHRA
    • G10L15/00G06F17/30
    • G10L15/18G06F17/30637G06F17/30663G10L15/083
    • Disclosed herein are systems, methods, and computer-readable storage media for performing a search. A system configured to practice the method first receives from an automatic speech recognition (ASR) system a word lattice based on speech query and receives indexed documents from an information repository. The system composes, based on the word lattice and the indexed documents, at least one triple including a query word, selected indexed document, and weight. The system generates an N-best path through the word lattice based on the at least one triple and re-ranks ASR output based on the N-best path. The system aggregates each weight across the query words to generate N-best listings and returns search results to the speech query based on the re-ranked ASR output and the N-best listings. The lattice can be a confusion network, the arc density of which can be adjusted for a desired performance level.
    • 本文公开了用于执行搜索的系统,方法和计算机可读存储介质。 配置为实施该方法的系统首先从自动语音识别(ASR)系统接收基于语音查询的字格,并从信息库接收索引的文档。 该系统基于字格和索引文档,组合至少一个包括查询词,选择的索引文档和权重的三元组。 该系统基于至少一个三重生成通过该字格的N个最佳路径,并且基于该N最佳路径重新排列ASR输出。 系统通过查询字聚合每个权重,以产生N最佳列表,并根据重新排列的ASR输出和N最佳列表将搜索结果返回给语音查询。 晶格可以是混淆网络,其电弧密度可以针对期望的性能水平进行调整。
    • 7. 发明申请
    • SYSTEM AND METHOD FOR MACHINE-MEDIATED HUMAN-HUMAN CONVERSATION
    • 用于机器人媒体人际交往的系统与方法
    • US20130144616A1
    • 2013-06-06
    • US13311852
    • 2011-12-06
    • Srinivas BANGALORE
    • Srinivas BANGALORE
    • G10L21/02G10L15/00G10L11/00
    • G10L15/075G10L15/1822G10L15/197G10L15/20G10L15/25G10L17/22G10L25/84G10L2015/223G10L2015/228
    • Disclosed herein are systems, methods, and non-transitory computer-readable storage media for processing speech. A system configured to practice the method monitors user utterances to generate a conversation context. Then the system receives a current user utterance independent of non-natural language input intended to trigger speech processing. The system compares the current user utterance to the conversation context to generate a context similarity score, and if the context similarity score is above a threshold, incorporates the current user utterance into the conversation context. If the context similarity score is below the threshold, the system discards the current user utterance. The system can compare the current user utterance to the conversation context based on an n-gram distribution, a perplexity score, and a perplexity threshold. Alternately, the system can use a task model to compare the current user utterance to the conversation context.
    • 本文公开了用于处理语音的系统,方法和非暂时的计算机可读存储介质。 被配置为练习该方法的系统监视用户话语以产生会话上下文。 然后,系统接收与用于触发语音处理的非自然语言输入无关的当前用户话语。 该系统将当前用户话语与对话上下文进行比较,以产生上下文相似性得分,并且如果上下文相似性得分高于阈值,则将当前用户话语合并到对话上下文中。 如果上下文相似性得分低于阈值,则系统丢弃当前用户的话语。 该系统可以基于n-gram分布,困惑度分数和困惑阈值将当前用户话语与对话上下文进行比较。 或者,系统可以使用任务模型来将当前用户话语与对话上下文进行比较。
    • 8. 发明申请
    • TEXT EDIT TRACKER
    • 文字编辑跟踪器
    • US20100100515A1
    • 2010-04-22
    • US12252732
    • 2008-10-16
    • Srinivas BANGALOREDavid J. SMITH
    • Srinivas BANGALOREDavid J. SMITH
    • G06N5/02G06F17/21
    • G06F17/248
    • A method for monitoring edits to a template for responding to an incoming communication includes categorizing the incoming communication into a category associated with the template for a response to the incoming communication. The method also includes determining distances between the template and each of a set of responses based on the template, at a predetermined level of granularity. The method also includes coding the template in accordance with the determined distances and displaying the coded template. A method for extracting a new template based on responses to an existing template includes selecting factors that affect quantitative measures for preparing a response to the incoming communication. The method includes using a mathematical model of the factors to cluster a set of responses created based on the existing template into two clusters. The method further includes restricting a first cluster centroid to be the existing template and searching for a second cluster centroid for a second cluster.
    • 用于监视对模板的编辑以响应传入通信的方法包括将传入通信分类为与模板相关联的类别以对于进入通信的响应。 该方法还包括以预定的粒度级确定基于模板的模板与一组响应中的每一个之间的距离。 该方法还包括根据确定的距离对模板进行编码并显示编码的模板。 基于对现有模板的响应来提取新模板的方法包括选择影响对进入通信的响应的定量测量的因素。 该方法包括使用这些因素的数学模型将基于现有模板创建的一组响应聚类成两个聚类。 该方法还包括将第一聚类中心限制为现有模板并搜索第二聚簇的第二聚类质心。
    • 9. 发明申请
    • SYSTEM AND METHOD FOR OPTIMIZING RESPONSE HANDLING TIME AND CUSTOMER SATISFACTION SCORES
    • 优化响应处理时间和客户满意度的系统和方法
    • US20090192838A1
    • 2009-07-30
    • US12019821
    • 2008-01-25
    • Srinivas BANGALOREMazin Gilbert
    • Srinivas BANGALOREMazin Gilbert
    • G06Q10/00
    • H04L51/02G06Q10/06G06Q10/06311G06Q10/063112G06Q30/0207G06Q30/0245
    • 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.
    • 公开了用于响应于用户通信使用和更新活动代理的模板响应的数据库的系统和方法。 该方法包括计算来自活动代理和模板的每个响应之间的平均字符串距离,用于生成响应,基于与每个响应相关联的客户满意度得分修改所计算的平均字符串距离,并且选择使计算出的平均值最小化的响应 弦距,并最大化客户满意度。 在一个特定的问题上接收到进一步的通信之后,系统呈现已经被添加到模板数据库中的实时代理的原型响应,用于产生对进一步通信的响应,这减少了处理时间并提高了客户满意度。