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1. 发明申请

US20120215630A1 VIDEO CONTEXTUAL ADVERTISEMENTS USING SPEECH RECOGNITION 有权
标题翻译：使用语音识别的视频语境广告
公开(公告)号：US20120215630A1
公开(公告)日：2012-08-23
申请号：US13459435
申请日：2012-04-30
申请人： Arungunram C. Surendran , Patrick Nguyen , Milind V. Mahajan
发明人： Arungunram C. Surendran , Patrick Nguyen , Milind V. Mahajan
IPC分类号： G06Q30/02
CPC分类号： H04N21/8405 , G06Q30/02 , G06Q30/0255 , G06Q30/0269 , G06Q30/0271 , G10L15/26 , H04N21/440236 , H04N21/4668 , H04N21/812
摘要： Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.
摘要翻译：公开了一种计算机实现的广告显示系统的实施例。在一个实施例中，系统包括语音识别组件，其处理视频剪辑并产生指示视频剪辑的音频部分的语音识别数据的相应集合。该系统还包括一系列广告材料。广告选择组件基于相应的语音识别数据集合从广告素材的集合中选择广告。该系统还包括显示器。广告呈现组件在同时显示视频剪辑期间在显示器上显示所选广告的指示。

2. 发明申请

US20090265242A1 PRIVACY-CENTRIC AD MODELS THAT LEVERAGE SOCIAL GRAPHS 有权
标题翻译：隐私权社会格局的隐私广告模式
公开(公告)号：US20090265242A1
公开(公告)日：2009-10-22
申请号：US12492569
申请日：2009-06-26
申请人： Eric J. Horvitz , Brett D. Brewer , Mary P. Czerwinski , Melissa W. Dunn , Karim T. Farouki , Jason Garms , Alexander G. Gounares , Milind V. Mahajan , Jayaram NM. Nanduri , Timothy D. Sharpe , Darrell Leroy Blegen
发明人： Eric J. Horvitz , Brett D. Brewer , Mary P. Czerwinski , Melissa W. Dunn , Karim T. Farouki , Jason Garms , Alexander G. Gounares , Milind V. Mahajan , Jayaram NM. Nanduri , Timothy D. Sharpe , Darrell Leroy Blegen
IPC分类号： G06Q30/00 , G06F21/24
CPC分类号： H04L63/104 , G06Q30/02 , G06Q30/0254 , G06Q30/0277 , H04L67/22 , H04L67/306
摘要： The claimed subject matter relates to an architecture that can mitigate privacy concerns in connection with ad targeting or data collection. In particular, architecture can be included in a personal mobile communication device such as a cell phone. During communication transactions between the host device and a peer device, shared information can be extracted either from content included in the communication or from metadata. Based upon the shared information, a social graph maintained on the host device can be updated. In addition, the host device can receive a large set of ads and select or tailor a custom ad from the set based upon the social graph.
摘要翻译：所要求保护的主题涉及可以减轻与广告定向或数据收集有关的隐私问题的架构。特别地，架构可以包括在诸如手机的个人移动通信设备中。在主机设备和对等设备之间的通信交易期间，可以从通信中包含的内容或从元数据中提取共享信息。基于共享信息，可以更新在主机设备上维护的社交图。此外，主机设备可以接收大量广告，并根据社交图表从该集合中选择或定制自定义广告。

3. 发明申请

US20080300872A1 SCALABLE SUMMARIES OF AUDIO OR VISUAL CONTENT 审中-公开
标题翻译：音频或视觉内容的可比性概要
公开(公告)号：US20080300872A1
公开(公告)日：2008-12-04
申请号：US11756059
申请日：2007-05-31
申请人： Sumit Basu , Surabhi Gupta , John C. Platt , Patrick Nguyen , Milind V. Mahajan
发明人： Sumit Basu , Surabhi Gupta , John C. Platt , Patrick Nguyen , Milind V. Mahajan
IPC分类号： G10L15/26
CPC分类号： G10L15/26 , G06F16/40 , G06F16/64 , G06F16/685 , G06F16/739 , G06F16/7844 , H04N7/147
摘要： Providing for browsing a summary of content formed of keywords that can scale to a user-defined level of detail is disclosed herein. Components of a system can include a summarization component that extracts keywords related to the content and associates the keywords with portions thereof, and a zooming component that displays a number of keywords based on a keyword/keyphrase relevance rank and a zoom factor. Additionally, a speech to text component can translate speech associated with the content into text, wherein the keywords are extracted from the translated text. Consequently, the claimed subject matter can present a variable hierarchy of keywords to form a scalable summary of such recorded content.
摘要翻译：本文公开了提供浏览由缩放到用户定义的细节级别的关键字形成的内容的摘要。系统的组件可以包括摘要组件，其提取与内容相关的关键词并将关键字与其部分相关联，以及缩放组件，其基于关键字/关键短语相关性等级和缩放因子显示多个关键字。此外，对文本组件的语音可以将与内容相关联的语音翻译为文本，其中从翻译的文本中提取关键字。因此，所要求保护的主题可以呈现关键词的可变层级以形成这种记录内容的可伸缩摘要。

4. 发明授权

US06917918B2 Method and system for frame alignment and unsupervised adaptation of acoustic models 失效
标题翻译：声学模型的框架对准和无监督适应的方法和系统
公开(公告)号：US06917918B2
公开(公告)日：2005-07-12
申请号：US09746583
申请日：2000-12-22
申请人： William H. Rockenbeck , Milind V. Mahajan , Fileno A. Alleva
发明人： William H. Rockenbeck , Milind V. Mahajan , Fileno A. Alleva
IPC分类号： G10L15/06
CPC分类号： G10L15/065
摘要： An unsupervised adaptation method and apparatus are provided that reduce the storage and time requirements associated with adaptation. Under the invention, utterances are converted into feature vectors, which are decoded to produce a transcript and alignment unit boundaries for the utterance. Individual alignment units and the feature vectors associated with those alignment units are then provided to an alignment function, which aligns the feature vectors with the states of each alignment unit. Because the alignment is performed within alignment unit boundaries, fewer feature vectors are used and the time for alignment is reduced. After alignment, the feature vector dimensions aligned to a state are added to dimension sums that are kept for that state. After all the states in an utterance have had their sums updated, the speech signal and the alignment units are deleted. Once sufficient frames of data have been received to perform adaptive training, the acoustic model is adapted.
摘要翻译：提供了一种无监督的适配方法和装置，其减少与适应相关联的存储和时间要求。根据本发明，话语被转换为特征向量，其被解码以产生用于话语的转录和对准单元边界。然后将单个对准单元和与这些对准单元相关联的特征向量提供给对准功能，其将特征向量与每个对准单元的状态对准。由于在对齐单元边界内进行对齐，所以使用较少的特征向量并减少了对准的时间。对齐后，与状态对齐的特征向量维被添加到为该状态保留的维数和。在话语中所有的状态已经更新了它们的和之后，语音信号和对齐单元被删除。一旦已经接收到足够的数据帧来执行自适应训练，则改变声学模型。

5. 发明授权

US5963903A Method and system for dynamically adjusted training for speech recognition 失效
标题翻译：用于语音识别的动态调整训练的方法和系统
公开(公告)号：US5963903A
公开(公告)日：1999-10-05
申请号：US673435
申请日：1996-06-28
申请人： Hsiao-Wuen Hon , Xuedong D. Huang , Mei-Yuh Hwang , Li Jiang , Yun-Cheng Ju , Milind V. Mahajan , Michael J. Rozak
发明人： Hsiao-Wuen Hon , Xuedong D. Huang , Mei-Yuh Hwang , Li Jiang , Yun-Cheng Ju , Milind V. Mahajan , Michael J. Rozak
IPC分类号： G10L15/02 , G10L15/06 , G10L15/14 , G10L5/04
CPC分类号： G10L15/063 , G10L2015/0635
摘要： A method and system for dynamically selecting words for training a speech recognition system. The speech recognition system models each phoneme using a hidden Markov model and represents each word as a sequence of phonemes. The training system ranks each phoneme for each frame according to the probability that the corresponding codeword will be spoken as part of the phoneme. The training system collects spoken utterances for which the corresponding word is known. The training system then aligns the codewords of each utterance with the phoneme that it is recognized to be part of. The training system then calculates an average rank for each phoneme using the aligned codewords for the aligned frames. Finally, the training system selects words for training that contain phonemes with a low rank.
摘要翻译：一种用于动态选择用于训练语音识别系统的单词的方法和系统。语音识别系统使用隐马尔科夫模型对每个音素进行建模，并将每个单词表示为音素序列。训练系统根据将相应的码字作为音素的一部分被说出的概率，对每个帧的每个音素进行排序。训练系统收集对应词语已知的口语说话。然后，训练系统将每个话语的码字与被认为是其一部分的音素对齐。训练系统然后使用对齐的帧的对齐码字来计算每个音素的平均等级。最后，训练系统选择包含低等级音素的训练词。

6. 发明授权

US07689419B2 Updating hidden conditional random field model parameters after processing individual training samples 有权
标题翻译：在处理个人培训样本后更新隐藏的条件随机场模型参数
公开(公告)号：US07689419B2
公开(公告)日：2010-03-30
申请号：US11233148
申请日：2005-09-22
申请人： Milind V. Mahajan , Alejandro Acero , Asela J. Gunawardana , John C. Platt
发明人： Milind V. Mahajan , Alejandro Acero , Asela J. Gunawardana , John C. Platt
IPC分类号： G10L15/00
CPC分类号： G10L15/063
摘要： A method and apparatus are provided for training parameters in a hidden conditional random field model for use in speech recognition and phonetic classification. The hidden conditional random field model uses parameterized features that are determined from a segment of speech, and those values are used to identify a phonetic unit for the segment of speech. The parameters are updated after processing of individual training samples.
摘要翻译：提供了一种用于训练用于语音识别和语音分类的隐藏条件随机场模型中的参数的方法和装置。隐藏条件随机场模型使用从语音段确定的参数化特征，并且这些值用于识别语音段的语音单元。参数在处理单个培训样本后更新。

7. 发明授权

US07016838B2 Method and system for frame alignment and unsupervised adaptation of acoustic models 失效
公开(公告)号：US07016838B2
公开(公告)日：2006-03-21
申请号：US10987529
申请日：2004-11-12
申请人： William H. Rockenbeck , Milind V. Mahajan , Fileno A. Alleva
发明人： William H. Rockenbeck , Milind V. Mahajan , Fileno A. Alleva
IPC分类号： G10L15/06
CPC分类号： G10L15/065
摘要： An unsupervised adaptation method and apparatus are provided that reduce the storage and time requirements associated with adaptation. Under the invention, utterances are converted into feature vectors, which are decoded to produce a transcript and alignment unit boundaries for the utterance. Individual alignment units and the feature vectors associated with those alignment units are then provided to an alignment function, which aligns the feature vectors with the states of each alignment unit. Because the alignment is performed within alignment unit boundaries, fewer feature vectors are used and the time for alignment is reduced. After alignment, the feature vector dimensions aligned to a state are added to dimension sums that are kept for that state. After all the states in an utterance have had their sums updated, the speech signal and the alignment units are deleted. Once sufficient frames of data have been received to perform adaptive training, the acoustic model is adapted.

8. 发明授权

US06865528B1 Use of a unified language model 有权
标题翻译：使用统一的语言模型
公开(公告)号：US06865528B1
公开(公告)日：2005-03-08
申请号：US09585834
申请日：2000-06-01
申请人： Xuedong D. Huang , Milind V. Mahajan , Ye-Yi Wang , Xiaolong Mou
发明人： Xuedong D. Huang , Milind V. Mahajan , Ye-Yi Wang , Xiaolong Mou
IPC分类号： G10L15/18 , G06F17/27 , G10L11/00
CPC分类号： G10L15/193 , G10L15/197
摘要： A language processing system includes a unified language model. The unified language model comprises a plurality of context-free grammars having non-terminal tokens representing semantic or syntactic concepts and terminals, and an N-gram language model having non-terminal tokens. A language processing module capable of receiving an input signal indicative of language accesses the unified language model to recognize the language. The language processing module generates hypotheses for the received language as a function of words of the unified language model and/or provides an output signal indicative of the language and at least some of the semantic or syntactic concepts contained therein.
摘要翻译：语言处理系统包括统一的语言模型。统一语言模型包括具有表示语义或句法概念和终端的非终端令牌的多个无上下文语法，以及具有非终端令牌的N-gram语言模型。能够接收指示语言的输入信号的语言处理模块访问统一语言模型以识别语言。语言处理模块根据统一语言模型的单词生成接收到的语言的假设和/或提供指示语言的输出信号以及其中包含的至少一些语义或句法概念。

9. 发明授权

US09980016B2 Video contextual advertisements using speech recognition 有权
公开(公告)号：US09980016B2
公开(公告)日：2018-05-22
申请号：US13459435
申请日：2012-04-30
申请人： Arungunram C. Surendran , Patrick Nguyen , Milind V. Mahajan
发明人： Arungunram C. Surendran , Patrick Nguyen , Milind V. Mahajan
IPC分类号： G06Q30/00 , H04N21/8405 , G06Q30/02 , H04N21/4402 , H04N21/466 , H04N21/81 , G10L15/26
CPC分类号： H04N21/8405 , G06Q30/02 , G06Q30/0255 , G06Q30/0269 , G06Q30/0271 , G10L15/26 , H04N21/440236 , H04N21/4668 , H04N21/812
摘要： Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.

10. 发明授权

US08909546B2 Privacy-centric ad models that leverage social graphs 有权
标题翻译：利用社交图表的以隐私为中心的广告模式
公开(公告)号：US08909546B2
公开(公告)日：2014-12-09
申请号：US12492569
申请日：2009-06-26
申请人： Eric J. Horvitz , Brett D. Brewer , Mary P. Czerwinski , Melissa W. Dunn , Karim T. Farouki , Jason Garms , Alexander G. Gounares , Milind V. Mahajan , Jayaram NM Nanduri , Timothy D. Sharpe , Darrell Leroy Blegen
发明人： Eric J. Horvitz , Brett D. Brewer , Mary P. Czerwinski , Melissa W. Dunn , Karim T. Farouki , Jason Garms , Alexander G. Gounares , Milind V. Mahajan , Jayaram NM Nanduri , Timothy D. Sharpe , Darrell Leroy Blegen
IPC分类号： G06Q30/00 , H04L29/06 , G06Q30/02 , H04L29/08
CPC分类号： H04L63/104 , G06Q30/02 , G06Q30/0254 , G06Q30/0277 , H04L67/22 , H04L67/306
摘要： The claimed subject matter relates to an architecture that can mitigate privacy concerns in connection with ad targeting or data collection. In particular, architecture can be included in a personal mobile communication device such as a cell phone. During communication transactions between the host device and a peer device, shared information can be extracted either from content included in the communication or from metadata. Based upon the shared information, a social graph maintained on the host device can be updated. In addition, the host device can receive a large set of ads and select or tailor a custom ad from the set based upon the social graph.
摘要翻译：所要求保护的主题涉及可以减轻与广告定向或数据收集有关的隐私问题的架构。特别地，架构可以包括在诸如手机的个人移动通信设备中。在主机设备和对等设备之间的通信交易期间，可以从通信中包含的内容或从元数据中提取共享信息。基于共享信息，可以更新在主机设备上维护的社交图。此外，主机设备可以接收大量广告，并根据社交图表从该集合中选择或定制自定义广告。

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