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公开(公告)号：US20060129397A1
公开(公告)日：2006-06-15
申请号：US11009630
申请日：2004-12-10
申请人： Xiao Li , Asela Gunawardana , Alejandro Acero , Milind Mahajan , Dong Yu
发明人： Xiao Li , Asela 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.
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2.发明申请Hidden conditional random field models for phonetic classification and speech recognition 有权用于语音分类和语音识别的隐藏条件随机场模型公开(公告)号：US20060085190A1
公开(公告)日：2006-04-20
申请号：US10966047
申请日：2004-10-15
IPC分类号： G10L15/14
CPC分类号： G10L15/14
摘要： A method and apparatus are provided for training and using a hidden conditional random field model for speech recognition and phonetic classification. The hidden conditional random field model uses features, at least one of which is based on a hidden state in a phonetic unit. Values for the features are determined from a segment of speech, and these values are used to identify a phonetic unit for the segment of speech.
摘要翻译： 提供了一种用于训练和使用用于语音识别和语音分类的隐藏条件随机场模型的方法和装置。 隐藏的条件随机场模型使用特征，其中至少一个基于语音单元中的隐藏状态。 特征的值由语音段确定，并且这些值用于识别语音段的语音单元。
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公开(公告)号：US20050228670A1
公开(公告)日：2005-10-13
申请号：US11146324
申请日：2005-06-06
CPC分类号： G10L15/197 , G10L15/183
摘要： A method of modeling a speech recognition system includes decoding a speech signal produced from a training text to produce a sequence of predicted speech units. The training text comprises a sequence of actual speech units that is used with the sequence of predicted speech units to form a confusion model. In further embodiments, the confusion model is used to decode a text to identify an error rate that would be expected if the speech recognition system decoded speech based on the text.
摘要翻译： 对语音识别系统进行建模的方法包括对从训练文本产生的语音信号进行解码以产生预测语音单元的序列。 训练文本包括与预测语音单元的序列一起使用以形成混淆模型的实际语音单元的序列。 在另外的实施例中，混淆模型用于对文本进行解码以识别如果语音识别系统基于文本解码的语音将会预期的错误率。
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4.发明申请Updating hidden conditional random field model parameters after processing individual training samples 有权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：US20070067171A1
公开(公告)日：2007-03-22
申请号：US11233148
申请日：2005-09-22
申请人： Milind Mahajan , Alejandro Acero , Asela Gunawardana , John Platt
发明人： Milind Mahajan , Alejandro Acero , Asela Gunawardana , John 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。
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公开(公告)号：US20070143110A1
公开(公告)日：2007-06-21
申请号：US11300735
申请日：2005-12-15
申请人： Alejandro Acero , Asela Gunawardana , Ciprian Chelba , Erik Selberg , Frank Torsten Seide , Patrick Nguyen , Roger Yu
发明人： Alejandro Acero , Asela Gunawardana , Ciprian Chelba , Erik Selberg , Frank Torsten Seide , Patrick Nguyen , Roger Yu
IPC分类号： G10L15/04
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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6.发明申请Method of speech recognition using time-dependent interpolation and hidden dynamic value classes 有权使用时间依赖插值和隐藏动态值类的语音识别方法公开(公告)号：US20060085191A1
公开(公告)日：2006-04-20
申请号：US11294858
申请日：2005-12-06
申请人： Li Deng , Jian-Iai Zhou , Frank Seide , Asela Gunawardana , Hagai Attias , Alejandro Acero , Xuedong Huang
发明人： Li Deng , Jian-Iai Zhou , Frank Seide , Asela Gunawardana , Hagai Attias , Alejandro Acero , Xuedong Huang
IPC分类号： G10L15/14
CPC分类号： G10L15/12 , G10L2015/025
摘要： A speech signal is decoded by determining a production-related value for a current state based on an optimal production-related value at the end of a preceding state, the optimal production-related value being selected from a set of continuous values. The production-related value is used to determine a likelihood of a phone being represented by a set of observation vectors that are aligned with a path between the preceding state and the current state. The likelihood of the phone is combined with a score from the preceding state to determine a score for the current state, the score from the preceding state being associated with a discrete class of production-related values wherein the class matches the class of the optimal production-related value.
摘要翻译： 通过基于在先前状态结束时的最佳生产相关值来确定当前状态的生产相关值来解码语音信号，从一组连续值中选择最佳生产相关值。 生产相关值用于确定电话由与先前状态和当前状态之间的路径对准的一组观察向量表示的可能性。 电话的可能性与来自前述状态的得分组合以确定当前状态的分数，来自前一状态的分数与生产相关值的离散类相关联，其中该类与最佳生产类别匹配 相关价值。
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公开(公告)号：US20110302024A1
公开(公告)日：2011-12-08
申请号：US12793685
申请日：2010-06-04
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0242
摘要： In one embodiment, a physical world tracking mechanism may monitor the efficacy of an advertisement with an offline conversion component. A data storage device 306 may store a commercial location 110 described in the advertisement and associate a conversion action with the advertisement. A processor 304 may register the conversion action at the commercial location 110 executed by a handheld computing device 104 of a user.
摘要翻译： 在一个实施例中，物理世界跟踪机制可以使用离线转换组件监视广告的功效。 数据存储装置306可以存储在广告中描述的商业位置110并将转换动作与广告相关联。 处理器304可以在由用户的手持计算设备104执行的商业位置110处注册转换动作。
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8.发明申请Method and apparatus for minimizing weighted networks with link and node labels 有权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：US20050149888A1
公开(公告)日：2005-07-07
申请号：US11073920
申请日：2005-03-07
申请人： Asela Gunawardana
发明人： Asela 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。
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公开(公告)号：US20050015734A1
公开(公告)日：2005-01-20
申请号：US10620996
申请日：2003-07-16
申请人： Asela Gunawardana
发明人： Asela 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.
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