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1. 发明授权

US08782556B2 User-centric soft keyboard predictive technologies 有权
标题翻译：以用户为中心的软键盘预测技术
公开(公告)号：US08782556B2
公开(公告)日：2014-07-15
申请号：US12729130
申请日：2010-03-22
申请人： Eric Norman Badger , Drew Elliot Linerud , Itai Almog , Timothy S. Paek , Parthasarathy Sundararajan , Dmytro Rudchenko , Asela J. Gunawardana
发明人： Eric Norman Badger , Drew Elliot Linerud , Itai Almog , Timothy S. Paek , Parthasarathy Sundararajan , Dmytro Rudchenko , Asela J. Gunawardana
IPC分类号： G06F3/048
CPC分类号： G06F3/04883 , G06F3/0237 , G06F3/048 , G06F3/04886 , G06F15/18 , G06F17/24 , G06F17/276 , G06F17/2795 , G06N99/005
摘要： An apparatus and method are disclosed for providing feedback and guidance to touch screen device users to improve text entry user experience and performance by generating input history data including character probabilities, word probabilities, and touch models. According to one embodiment, a method comprises receiving first input data, automatically learning user tendencies based on the first input data to generate input history data, receiving second input data, and generating auto-corrections or suggestion candidates for one or more words of the second input data based on the input history data. The user can then select one of the suggestion candidates to replace a selected word with the selected suggestion candidate.
摘要翻译：公开了一种用于通过产生包括字符概率，字概率和触摸模型的输入历史数据来向触摸屏设备用户提供反馈和引导以改善文本输入用户体验和性能的装置和方法。根据一个实施例，一种方法包括接收第一输入数据，基于第一输入数据自动学习用户倾向，以产生输入历史数据，接收第二输入数据，以及生成第二输入数据的一个或多个单词的自动修正或建议候选基于输入历史数据输入数据。然后，用户可以选择其中一个建议候选以用选择的建议候选替换所选择的单词。

2. 发明申请

US20090054123A1 INFORMATION COLLECTION DURING GAME PLAY 有权
标题翻译：游戏中的信息收集
公开(公告)号：US20090054123A1
公开(公告)日：2009-02-26
申请号：US11843468
申请日：2007-08-22
申请人： Anton Mityagin , Aparna Lakshmiratan , Asela J. Gunawardana , Christopher A. Meek , David M. Chickering , Paul N. Bennett , Timothy S. Paek
发明人： Anton Mityagin , Aparna Lakshmiratan , Asela J. Gunawardana , Christopher A. Meek , David M. Chickering , Paul N. Bennett , Timothy S. Paek
IPC分类号： G06F19/00 , A63F13/00
CPC分类号： A63F13/798 , A63F13/12 , A63F13/23 , A63F13/33 , A63F13/46 , A63F13/75 , A63F13/85 , A63F2300/558 , A63F2300/5586 , G06Q10/10 , G06Q30/02 , G07F17/3225 , G07F17/3244
摘要： Systems and methods allow an on-line game to extract information relevant to a specific need of a game platform or service platform. The specific need relates to management and use of digital content, and is addressed by designing and playing an on-line collaborative game. The rules of the game intend to solve a specific task dictated by the specific need. Players' responses to the game generate a wealth of information related to a specific task objective, such as ranking, sorting, and evaluating a set of digital content items. To compel participation in a game, players can be rewarded with monetary value rewards. As a game illustration, an image selection game (ISG) that exploits human contextual inference is described in detail. The information extracted from ISG is a list of key-image associations, relevant for the task of image sorting and ranking.
摘要翻译：系统和方法允许在线游戏提取与游戏平台或服务平台的特定需要相关的信息。具体需要涉及数字内容的管理和使用，并通过设计和播放在线协作游戏来解决。游戏规则旨在解决具体需求所指定的特定任务。玩家对游戏的反应产生与特定任务目标相关的大量信息，例如排序，排序和评估一组数字内容项目。为了强制参与游戏，玩家可以奖励货币价值奖励。作为游戏说明，详细描述了利用人类背景推理的图像选择游戏（ISG）。从ISG提取的信息是与图像排序和排序任务相关的关键图像关联的列表。

3. 发明申请

US20100315266A1 PREDICTIVE INTERFACES WITH USABILITY CONSTRAINTS 审中-公开
标题翻译：具有可用性约束的预测接口
公开(公告)号：US20100315266A1
公开(公告)日：2010-12-16
申请号：US12484532
申请日：2009-06-15
申请人： Asela J. Gunawardana , Timothy S. Paek , Christopher A. Meek
发明人： Asela J. Gunawardana , Timothy S. Paek , Christopher A. Meek
IPC分类号： H03K17/94
CPC分类号： G06F3/0237 , G06F3/04886
摘要： A “Constrained Predictive Interface” uses predictive constraints to improve accuracy in user interfaces such as soft keyboards, pen interfaces, multi-touch interfaces, 3D gesture interfaces, EMG based interfaces, etc. In various embodiments, the Constrained Predictive Interface allows users to take any desired action at any time by taking into account a likelihood of possible user actions in different contexts to determine intended user actions. For example, to enable a virtual keyboard interface, various embodiments of the Constrained Predictive Interface provide key “sweet spots” as predictive constraints that allow the user to select particular keys regardless of any probability associated with the selected or neighboring keys. In further embodiments, the Constrained Predictive Interface provides hit target resizing via various piecewise constant touch models in combination with various predictive constraints. In general, hit target resizing provides dynamic real-time virtual resizing of one or more particular keys based on various probabilistic criteria.
摘要翻译： “约束预测接口”使用预测约束来提高诸如软键盘，笔接口，多点触摸界面，3D手势接口，基于EMG的接口等用户界面的准确性。在各种实施例中，约束预测接口允许用户采取通过考虑在不同上下文中可能的用户动作的可能性来确定预期的用户动作，在任何时候执行任何期望的动作。例如，为了启用虚拟键盘接口，约束预测接口的各种实施例提供关键的“甜点”作为预测约束，其允许用户选择特定的密钥，而不管与所选择的或相邻的密钥相关联的任何概率如何。在另外的实施例中，约束预测接口通过各种分段常数触摸模型结合各种预测约束提供命中目标调整大小。一般来说，命中目标调整大小基于各种概率标准提供一个或多个特定键的动态实时虚拟调整大小。

4. 发明授权

US09283476B2 Information collection during game play 有权
标题翻译：在游戏中收集信息
公开(公告)号：US09283476B2
公开(公告)日：2016-03-15
申请号：US11843468
申请日：2007-08-22
申请人： Anton Mityagin , Aparna Lakshmiratan , Asela J. Gunawardana , Christopher A. Meek , David M. Chickering , Paul N. Bennett , Timothy S. Paek
发明人： Anton Mityagin , Aparna Lakshmiratan , Asela J. Gunawardana , Christopher A. Meek , David M. Chickering , Paul N. Bennett , Timothy S. Paek
IPC分类号： G06F17/00 , A63F13/30 , G06Q10/10 , G06Q30/02
CPC分类号： A63F13/798 , A63F13/12 , A63F13/23 , A63F13/33 , A63F13/46 , A63F13/75 , A63F13/85 , A63F2300/558 , A63F2300/5586 , G06Q10/10 , G06Q30/02 , G07F17/3225 , G07F17/3244
摘要： Systems and methods allow an on-line game to extract information relevant to a specific need of a game platform or service platform. The specific need relates to management and use of digital content, and is addressed by designing and playing an on-line collaborative game. The rules of the game intend to solve a specific task dictated by the specific need. Players' responses to the game generate a wealth of information related to a specific task objective, such as ranking, sorting, and evaluating a set of digital content items. To compel participation in a game, players can be rewarded with monetary value rewards. As a game illustration, an image selection game (ISG) that exploits human contextual inference is described in detail. The information extracted from ISG is a list of key-image associations, relevant for the task of image sorting and ranking.
摘要翻译：系统和方法允许在线游戏提取与游戏平台或服务平台的特定需要相关的信息。具体需要涉及数字内容的管理和使用，并通过设计和播放在线协作游戏来解决。游戏规则旨在解决具体需求所指定的特定任务。玩家对游戏的反应产生与特定任务目标相关的大量信息，例如排序，排序和评估一组数字内容项目。为了强制参与游戏，玩家可以奖励货币价值奖励。作为游戏说明，详细描述了利用人类背景推理的图像选择游戏（ISG）。从ISG提取的信息是与图像排序和排序任务相关的关键图像关联的列表。

5. 发明授权

US07499857B2 Adaptation of compressed acoustic models 失效
标题翻译：压缩声学模型的适应
公开(公告)号：US07499857B2
公开(公告)日：2009-03-03
申请号：US10438498
申请日：2003-05-15
申请人： Asela J. Gunawardana
发明人： Asela J. Gunawardana
IPC分类号： G10L15/14 , G10L15/28 , G10L15/06
CPC分类号： G10L15/07 , G10L15/144 , G10L15/285
摘要： The present invention is used to adapt acoustic models, quantized in subspaces, using adaptation training data (such as speaker-dependent training data). The acoustic model is compressed into multi-dimensional subspaces. A codebook is generated for each subspace. An adaptation transform is estimated, and it is applied to codewords in the codebooks, rather than to the means themselves.
摘要翻译：本发明用于使用自适应训练数据（例如与说话者相关的训练数据）来适应在子空间中量化的声学模型。声学模型被压缩成多维子空间。为每个子空间生成码本。估计适应变换，并将其应用于码本中的码字，而不是手段本身。

6. 发明授权

US07401303B2 Method and apparatus for minimizing weighted networks with link and node labels 有权
标题翻译：用于使具有链路和节点标签的加权网络最小化的方法和装置
公开(公告)号：US07401303B2
公开(公告)日：2008-07-15
申请号：US11073920
申请日：2005-03-07
申请人： Asela J. Gunawardana
发明人： Asela J. Gunawardana
IPC分类号： G06F17/50
CPC分类号： G06F17/2755 , G10L15/193
摘要： A method and apparatus are provided for optimizing finite state machines with labeled nodes. Under the method, labels from the nodes are shifted onto the labels of the links connected to the nodes. The finite state machine is then optimized. After optimization, the labels on the links are examined to verify that the prefixes of the labels on each outgoing link match the suffixes of the labels on each incoming link to a particular node. After this verification, a portion of a label on a link is removed from the link and inserted onto the node.
摘要翻译：提供了一种用于利用带有标记节点来优化有限状态机的方法和装置。在该方法下，来自节点的标签被转移到连接到节点的链路的标签上。然后优化有限状态机。优化后，检查链路上的标签，以验证每个传出链路上的标签前缀与每个到特定节点的传入链路上的标签后缀匹配。在此验证之后，链接上的标签的一部分从链接中移除并插入节点。

7. 发明授权

US08527339B2 Quality based pricing and ranking for online ads 有权
标题翻译：基于质量的定价和在线广告的排名
公开(公告)号：US08527339B2
公开(公告)日：2013-09-03
申请号：US12146473
申请日：2008-06-26
申请人： Asela J. Gunawardana , Jody D. Biggs , Jesper B. Lind , Christopher A. Meek
发明人： Asela J. Gunawardana , Jody D. Biggs , Jesper B. Lind , Christopher A. Meek
IPC分类号： G06Q99/00
CPC分类号： G06Q30/02 , G06Q30/0243
摘要： A “Quality-Based Ad Pricer” prices ads as a function of how users respond to a particular page and/or domain to which they are sent by an online advertisement. User experience is improved by ensuring that advertisements that are more relevant to a user are priced less than an ads which are less relevant to the user. In particular, a quality factor for each ad is determined as a property of the advertiser's site based on measured user behaviors with respect to that site. This quality factor is then used in ranking, selecting, and pricing ads in an automated online auction. Further, while ad aggregators are not excluded from the ad market by the pricing rules of the Quality-Based Ad Pricer, these rules ensure that there is a “level playing field” such that ads of merchants are not excluded by the ads of ad aggregators.
摘要翻译： “质量为基础的广告价格”将广告定价为用户如何响应通过在线广告发送的特定页面和/或域的功能。通过确保与用户更相关的广告的价格低于与用户相关性较低的广告来提高用户体验。特别地，基于相对于该站点的测量用户行为，每个广告的品质因子被确定为广告商网站的属性。然后，此质量因子用于在自动化在线拍卖中对广告进行排名，选择和定价。此外，虽然广告集合商并未按照质量为基础的广告价格定价规则从广告市场中排除，但这些规则确保有一个“公平竞争的环境”，广告商广告不会被广告集合商的广告排除在外。

8. 发明授权

US07778945B2 Training random walks over absorbing graphs 有权
标题翻译：训练随机走过吸收图
公开(公告)号：US07778945B2
公开(公告)日：2010-08-17
申请号：US11768867
申请日：2007-06-26
申请人： Asela J. Gunawardana , Christopher A. Meek , Ajit Paul Singh
发明人： Asela J. Gunawardana , Christopher A. Meek , Ajit Paul Singh
IPC分类号： G06F15/18
CPC分类号： G06Q10/04 , G06Q30/0283
摘要： A random walk is performed over a graph, such as an augmented bipartite graph, relating to ownership data with respect to a plurality of users and items owned; the graph can provide social links between the users as well. Items can be recommended to users who do not own the items by randomly walking the graph starting at the user node to which the recommendation will be given. The random walk can step from user to user or from user to item; when an item is reached, the node can be absorbing such that the random walk terminates. The arrived item is recommended to the user. Parameters can also be provided to affect decisions made during the walk about which users to walk to and/or whether to walk to a user or an item.
摘要翻译：在与多个用户和所拥有的项目相关的所有权数据相关的图形上执行随机游走，例如增强的二分图; 该图也可以提供用户之间的社交联系。可以通过随机地从图中给出推荐的用户节点开始，图形推荐给不拥有项目的用户。随机步行可以从用户到用户或从用户到项目步进; 当达到项目时，节点可以被吸收，使得随机游走终止。推荐给用户的到达项目。还可以提供参数来影响在步行期间作出的决定，哪些用户要走到哪里，和/或是否走到用户或物品。

9. 发明授权

US07634406B2 System and method for identifying semantic intent from acoustic information 有权
标题翻译：用于从声学信息中识别语义意图的系统和方法
公开(公告)号：US07634406B2
公开(公告)日：2009-12-15
申请号：US11009630
申请日：2004-12-10
申请人： Xiao Li , Asela J. Gunawardana , Alejandro Acero , Milind Mahajan , Dong Yu
发明人： Xiao Li , Asela J. Gunawardana , Alejandro Acero , Milind Mahajan , Dong Yu
IPC分类号： G10L15/06
CPC分类号： G10L15/19 , G10L15/1815
摘要： In accordance with one embodiment of the present invention, unanticipated semantic intents are discovered in audio data in an unsupervised manner. For instance, the audio acoustics are clustered based on semantic intent and representative acoustics are chosen for each cluster. The human then need only listen to a small number of representative acoustics for each cluster (and possibly only one per cluster) in order to identify the unforeseen semantic intents.
摘要翻译：根据本发明的一个实施例，以无监督的方式在音频数据中发现意外的语义意图。例如，音频声学基于语义意图进行聚类，并为每个群集选择代表性的声学。然后，人们只需要听每个群集的少量代表性声学（并且可能只有一个群集），以便识别不可预见的语义意图。

10. 发明授权

US07831425B2 Time-anchored posterior indexing of speech 有权
标题翻译：时间锚定的后向索引语音
公开(公告)号：US07831425B2
公开(公告)日：2010-11-09
申请号：US11300735
申请日：2005-12-15
申请人： Alejandro Acero , Asela J. Gunawardana , Ciprian I. Chelba , Erik W. Selberg , Frank Torsten B. Seide , Patrick Nguyen , Roger Peng Yu
发明人： Alejandro Acero , Asela J. Gunawardana , Ciprian I. Chelba , Erik W. Selberg , Frank Torsten B. Seide , Patrick Nguyen , Roger Peng Yu
IPC分类号： G10L15/04 , G10L15/00 , G10L15/28
CPC分类号： G10L15/08 , G10L15/05
摘要： A computer-implemented method of indexing a speech lattice for search of audio corresponding to the speech lattice is provided. The method includes identifying at least two speech recognition hypotheses for a word which have time ranges satisfying a criteria. The method further includes merging the at least two speech recognition hypotheses to generate a merged speech recognition hypothesis for the word.
摘要翻译：提供了一种用于索引用于搜索与语音格子相对应的音频的语音格子的计算机实现的方法。该方法包括识别具有满足标准的时间范围的单词的至少两个语音识别假设。该方法还包括合并至少两个语音识别假设以产生该单词的合并语音识别假设。

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