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1. 发明授权

US07941316B2 Combined speech and alternate input modality to a mobile device 有权
标题翻译：组合语音和交替输入模式到移动设备
公开(公告)号：US07941316B2
公开(公告)日：2011-05-10
申请号：US11262230
申请日：2005-10-28
申请人： Milind V. Mahajan , Alejandro Acero , Bo-June Hsu
发明人： Milind V. Mahajan , Alejandro Acero , Bo-June Hsu
IPC分类号： G10L15/26
CPC分类号： G10L15/22
摘要： A method of entering information into a mobile device includes receiving a multi-word speech input from a user, performing speech recognition on the speech input to obtain a multi-word speech recognition result, and sequentially displaying, in a display, words in the speech recognition result for user confirmation or correction, by adding one word at a time to the display. A next word is only displayed after user confirmation or correct has been received for a previously displayed word that is immediately preceding the next word in the speech recognition result. The method also includes calculating a hypothesis lattice indicative of a plurality of speech recognition hypotheses based on the speech input and, prior to finishing calculating the hypothesis lattice and while continuing to calculate the hypothesis lattice, calculating a preliminary hypothesis lattice indicative of only partial speech recognition hypotheses based on the speech input and outputting the preliminary hypotheses lattice.
摘要翻译：将信息输入到移动设备的方法包括从用户接收多字语音输入，在语音输入上执行语音识别以获得多字语音识别结果，并且在显示器中依次显示语音中的单词用户确认或校正的识别结果，通过一次添加一个单词到显示。仅在用户确认之后才显示下一个单词，或者在语音识别结果中紧接在下一个单词之前的先前显示的单词已经接收到正确的单词。该方法还包括基于语音输入来计算指示多个语音识别假设的假设格点，并且在完成计算假设网格之前并在继续计算假设网格的同时，计算指示仅部分语音识别的初步假设点基于语音输入的假设，并输出初步假设格。

2. 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。

3. 发明授权

US08442828B2 Conditional model for natural language understanding 有权
标题翻译：自然语言理解的条件模型
公开(公告)号：US08442828B2
公开(公告)日：2013-05-14
申请号：US11378710
申请日：2006-03-17
申请人： Ye-Yi Wang , Alejandro Acero , John Sie Yuen Lee , Milind V. Mahajan
发明人： Ye-Yi Wang , Alejandro Acero , John Sie Yuen Lee , Milind V. Mahajan
IPC分类号： G10L15/18 , G10L15/14
CPC分类号： G10L15/1822 , G06F17/2785
摘要： A conditional model is used in spoken language understanding. One such model is a conditional random field model.
摘要翻译：语言理解中使用条件模型。一个这样的模型是条件随机场模型。

4. 发明授权

US08165870B2 Classification filter for processing data for creating a language model 有权
标题翻译：用于处理用于创建语言模型的数据的分类过滤器
公开(公告)号：US08165870B2
公开(公告)日：2012-04-24
申请号：US11054819
申请日：2005-02-10
申请人： Alejandro Acero , Dong Yu , Julian J. Odell , Milind V. Mahajan , Peter K. L. Mau
发明人： Alejandro Acero , Dong Yu , Julian J. Odell , Milind V. Mahajan , Peter K. L. Mau
IPC分类号： G06F17/21
CPC分类号： G06F17/2715 , G06F17/277 , G10L15/063 , G10L15/18 , G10L15/183
摘要： The method and apparatus utilize a filter to remove a variety of non-dictated words from data based on probability and improve the effectiveness of creating a language model.
摘要翻译：该方法和装置利用滤波器基于概率从数据中去除各种非指令词，并提高创建语言模型的有效性。

5. 发明授权

US07885812B2 Joint training of feature extraction and acoustic model parameters for speech recognition 有权
标题翻译：特征提取和声学模型参数的联合训练用于语音识别
公开(公告)号：US07885812B2
公开(公告)日：2011-02-08
申请号：US11560180
申请日：2006-11-15
申请人： Alejandro Acero , James G. Droppo , Milind V. Mahajan
发明人： Alejandro Acero , James G. Droppo , Milind V. Mahajan
IPC分类号： G10L15/06
CPC分类号： G10L15/063
摘要： Parameters for a feature extractor and acoustic model of a speech recognition module are trained. An objective function is utilized to determine values for the feature extractor parameters and the acoustic model parameters.
摘要翻译：训练语音识别模块的特征提取器和声学模型的参数。利用目标函数来确定特征提取器参数和声学模型参数的值。

6. 发明申请

US20080114596A1 DISCRIMINATIVE TRAINING FOR SPEECH RECOGNITION 有权
标题翻译：用于语音识别的歧视性培训
公开(公告)号：US20080114596A1
公开(公告)日：2008-05-15
申请号：US11560180
申请日：2006-11-15
申请人： Alejandro Acero , James G. Droppo , Milind V. Mahajan
发明人： Alejandro Acero , James G. Droppo , Milind V. Mahajan
IPC分类号： G10L15/02 , G10L15/04
CPC分类号： G10L15/063
摘要： Parameters for a feature extractor and acoustic model of a speech recognition module are trained. An objective function is utilized to determine values for the feature extractor parameters and the acoustic model parameters.
摘要翻译：训练语音识别模块的特征提取器和声学模型的参数。利用目标函数来确定特征提取器参数和声学模型参数的值。

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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