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1. 发明授权

US5946653A Speaker independent speech recognition system and method 失效
标题翻译：演讲者独立的语音识别系统和方法
公开(公告)号：US5946653A
公开(公告)日：1999-08-31
申请号：US942211
申请日：1997-10-01
申请人： William Michael Campbell , John Eric Kleider , Charles Conway Broun , Carl Steven Gifford , Khaled Assaleh
发明人： William Michael Campbell , John Eric Kleider , Charles Conway Broun , Carl Steven Gifford , Khaled Assaleh
IPC分类号： G10L9/00
CPC分类号： G10L15/10 , G10L15/02 , G10L2015/0631
摘要： An improved method of training a SISRS uses less processing and memory resources by operating on vectors instead of matrices which represent spoken commands. Memory requirements are linearly proportional to the number of spoken commands for storing each command model. A spoken command is identified from the set of spoken commands by a command recognition procedure (200). The command recognition procedure (200) includes sampling the speaker's speech, deriving cepstral coefficients and delta-cepstral coefficients, and performing a polynomial expansion on cepstral coefficients. The identified spoken command is selected using the dot product of the command model data and the average command structure representing the unidentified spoken command.
摘要翻译：训练SISRS的改进方法通过对矢量进行操作而不是代表口头命令的矩阵来使用较少的处理和存储资源。存储器要求与用于存储每个命令模型的口头命令的数量成线性比例。通过命令识别程序（200）从该组口令命令中识别口语命令。命令识别程序（200）包括对扬声器的语音进行采样，导出倒谱系数和增量倒谱系数，并对倒谱系数进行多项式扩展。使用命令模型数据的点积和代表未识别的口语命令的平均命令结构来选择所识别的口语命令。

2. 发明授权

US06243695B1 Access control system and method therefor 失效
标题翻译：具有防欺诈功能的电信设备
公开(公告)号：US06243695B1
公开(公告)日：2001-06-05
申请号：US09045361
申请日：1998-03-18
申请人： Khaled Assaleh , William Michael Campbell
发明人： Khaled Assaleh , William Michael Campbell
IPC分类号： G06F1518
CPC分类号： G06K9/68
摘要： A TCS (200) and procedure (400) for identifying an unidentified class as a class of a group of classes includes a new tree-structured classifier (208) and training processor (204). Unidentified feature vectors representing an unidentified class are combined with predetermined models to compute a score for each of the unidentified feature vectors. Based on the scores for each of the unidentified feature vectors, an association is made with the predetermined models to identify the unidentified class. Predetermined models are created using a training procedure (300) for predetermined feature vectors associated therewith. A procedure (400) for identifying an unidentified class as a class of a group of classes is useful when determining access privileges to a device or system.
摘要翻译：用于将未识别的类识别为类的一类的TCS（200）和过程（400）包括新的树结构分类器（208）和训练处理器（204）。表示未识别类别的不明特征向量与预定模型组合以计算每个未识别特征向量的得分。基于每个未识别特征向量的分数，使用预定模型进行关联以识别未识别的类。使用用于与其相关联的预定特征向量的训练过程（300）创建预定模型。当确定对设备或系统的访问权限时，用于将未识别的类识别为一组类的类的过程（400）是有用的。

3. 发明授权

US06192353B1 Multiresolutional classifier with training system and method 失效
标题翻译：具有训练系统和方法的多元分类器
公开(公告)号：US06192353B1
公开(公告)日：2001-02-20
申请号：US09020953
申请日：1998-02-09
申请人： Khaled Assaleh , William Michael Campbell , John Eric Kleider
发明人： Khaled Assaleh , William Michael Campbell , John Eric Kleider
IPC分类号： G06F1518
CPC分类号： G06N3/08 , G06K9/6807
摘要： An improved method and system for training and classifying using a low complexity and high accuracy multiresolutional polynomial classifier (412) is presented. A method of training an multiresolutional polynomial classifier which reduces the complexity of existing classifiers allows models representing subgroups of classes to easily be created. The models which represent subgroups of classes are applied to an unidentified input to produce a coarse classification of the unidentified input using a low order classifier. Once a coarse classification of the unidentified input is performed, a more detailed classification is performed using another low complexity classifier.
摘要翻译：提出了一种改进的使用低复杂度和高精度多分辨多项式分类器进行训练和分类的方法和系统（412）。训练多分类多项式分类器的方法可以降低现有分类器的复杂度，可以容易地创建表示类的子组的模型。表示子类别的模型被应用于未识别的输入以使用低阶分类器来产生未识别输入的粗略分类。一旦执行了未识别输入的粗略分类，则使用另一个低复杂度分类器来执行更详细的分类。

4. 发明授权

US6131089A Pattern classifier with training system and methods of operation therefor 失效
标题翻译：模式分类器与训练系统及其操作方法
公开(公告)号：US6131089A
公开(公告)日：2000-10-10
申请号：US72171
申请日：1998-05-04
申请人： William Michael Campbell , Bruce Alan Fette
发明人： William Michael Campbell , Bruce Alan Fette
IPC分类号： G06K9/62 , G06F15/18 , G10L9/00
CPC分类号： G06K9/62
摘要： Classifiers (110) and a comparator (112) perform an identification method (400) to identify a class as one of a predetermined set of classes. The identification method is based on determining the observation costs associated with the unidentified class. The identification method includes combining models representing the predetermined set of classes and the unidentified vectors representing the class. The predetermined class associated with the largest observation cost is identified as the class. Additionally, a unique, low-complexity training method (300) includes creating the models which represent the predetermined set of classes.
摘要翻译：分类器（110）和比较器（112）执行识别方法（400）以将类识别为预定类别集合之一。识别方法是基于确定与不明级别相关联的观察成本。识别方法包括组合表示预定类别集合的模型和表示该类别的未识别矢量。将与最大观察成本相关联的预定类别识别为类别。此外，独特的低复杂性训练方法（300）包括创建表示预定类别集合的模型。

5. 发明授权

US06301265B1 Adaptive rate system and method for network communications 有权
标题翻译：自适应速率系统和网络通信方法
公开(公告)号：US06301265B1
公开(公告)日：2001-10-09
申请号：US09134782
申请日：1998-08-14
申请人： John Kleider , Bruce Alan Fette , William Michael Campbell , Cynthia Ann Jaskie
发明人： John Kleider , Bruce Alan Fette , William Michael Campbell , Cynthia Ann Jaskie
IPC分类号： H04J316
CPC分类号： H04L1/0009 , G10L19/002 , G10L19/005 , H04L1/0014 , H04L69/40
摘要： A system and method for determining operating parameters to control a communication rate for an adaptive rate communication system includes a transmitter (101) to transmit a signal (135) through a network (142) to a receiver (103). The receiver (103) determines operating parameters based on, among other things, packet information from a received signal (e.g., packet). The receiver conveys the operating parameters to the transmitter for use in subsequent communications from the transmitter (101) to the receiver (103).
摘要翻译：用于确定用于自适应速率通信系统的通信速率的操作参数的系统和方法包括：通过网络（142）向接收机（103）发送信号（135）的发射机（101）。接收器（103）基于来自接收信号（例如，分组）的分组信息来确定操作参数。所述接收机将所述操作参数传送到所述发射机，以用于从所述发射机（101）到所述接收机（103）的后续通信。

6. 发明授权

US6084919A Communication unit having spectral adaptability 失效
标题翻译：具有光谱适应性的通信单元
公开(公告)号：US6084919A
公开(公告)日：2000-07-04
申请号：US16025
申请日：1998-01-30
申请人： John Eric Kleider , Jeffery Scott Chuprun , William Michael Campbell , Chad Scott Bergstrom
发明人： John Eric Kleider , Jeffery Scott Chuprun , William Michael Campbell , Chad Scott Bergstrom
IPC分类号： H04B1/707 , H04K3/00 , H04L1/00 , H04L1/12 , H04B15/00
CPC分类号： H04K3/226 , H04B1/707 , H04L1/0015 , H04L1/0003 , H04L1/0009 , H04L1/0014 , H04L1/0025 , H04L1/0026 , H04L2001/125
摘要： The present invention relates to a communications system (100) that is capable of adapting to an unknown or varying spectral environment in a channel (14) between two communications units (12, 16). The system (100) maintains a spectral profile of the channel (14) and uses the spectral profile to determine appropriate transmit parameters for the system (100). The system (100) can be programmed to provide an optimal transmit signal for achieving a predetermined performance goal (such as, for example, maximum data rate at a given bit error rate (BER)) in light of the spectral environment in the channel (14). In one embodiment, the spectral profile is maintained in a spectrum table memory (27) that is periodically (or continuously) updated.
摘要翻译：本发明涉及能够适应两个通信单元（12,16）之间的信道（14）中未知或变化的频谱环境的通信系统（100）。系统（100）维护信道（14）的频谱分布，并使用频谱分布来确定系统（100）的合适的传输参数。系统（100）可以被编程为根据信道中的频谱环境提供用于实现预定性能目标（例如，给定误比特率（BER）的最大数据速率）的最佳发射信号） 14）。在一个实施例中，频谱分布被维持在定期（或连续）更新的频谱表存储器（27）中。

7. 发明授权

US6038535A Speech classifier and method using delay elements 失效
标题翻译：语音分类器和使用延迟元素的方法
公开(公告)号：US6038535A
公开(公告)日：2000-03-14
申请号：US45917
申请日：1998-03-23
申请人： William Michael Campbell
发明人： William Michael Campbell
IPC分类号： G10L15/06 , G10L15/08 , G10L7/08
CPC分类号： G10L15/08 , G10L15/063
摘要： Classifiers (110) and a selector (112) perform an identification method (300) to identify an ordered set of vectors (e.g., spoken commands, phoneme identification, radio signatures, communication channels, etc.) representing a class as one of a predetermined set of classes. Training processor (104) performs a training method (200) to train a set of models and store the models in a model memory (108). Classifiers (110) receive models from the model memory and combine the models with the ordered set of vectors to determine a set of scores. The selector associates the set of scores with the predetermined set of classes to identify the ordered set of vectors as a class from the predetermined set of classes.
摘要翻译：分类器（110）和选择器（112）执行识别方法（300）以将表示类的有序矢量集（例如，口语命令，音素识别，无线电签名，通信信道等）标识为预定的一套课。训练处理器（104）执行训练方法（200）以训练一组模型并将模型存储在模型存储器（108）中。分类器（110）从模型存储器接收模型，并将模型与有序矢量集合组合以确定一组分数。所述选择器将所述分数集与所述预定类的集合相关联，以从所述预定类的集合中将所述有序向量集合识别为类。

8. 外观设计

USD652996S1 Pet house 有权
公开(公告)号：USD652996S1
公开(公告)日：2012-01-24
申请号：US29383498
申请日：2011-01-18
申请人： William Michael Campbell
设计人： William Michael Campbell

9. 发明授权

US5884268A Method and apparatus for reducing artifacts that result from time compressing and decompressing speech 失效
标题翻译：用于减少由时间压缩和解压缩语音产生的伪像的方法和装置
公开(公告)号：US5884268A
公开(公告)日：1999-03-16
申请号：US883977
申请日：1997-06-27
申请人： William Michael Campbell , Clifford Allan Wood , James Earl Womack , Wade Alan Bastien , Deborah Ann Calie , Robert Andrew Rapp , Terence Edward Sumner
发明人： William Michael Campbell , Clifford Allan Wood , James Earl Womack , Wade Alan Bastien , Deborah Ann Calie , Robert Andrew Rapp , Terence Edward Sumner
IPC分类号： G10L19/00 , G10L19/02 , G10L3/02
CPC分类号： G10L19/012 , G10L19/0204
摘要： A processing system time compresses a voice message before transmission, and processing system time expands the message after reception. To process the message the processing systems perform at least one of: (a) randomizing the order of a sequence of samples form a silent portion of the message after reception thereof before blending the sequence with a last portion of the expanded message; (b) selecting the sequence of samples from the silent portion of the message after reception thereof, the sequence selected being poorly correlated with the last portion of the expanded message, before blending the sequence with the last portion of the message; and (c) compressing the dynamic range of the message before transmission, by an amount dependent upon the signal-to-noise ratio of the message, and aggressively expanding the dynamic range of the message after reception, by a fixed amount.
摘要翻译：处理系统在传输之前对语音消息进行时间压缩，处理系统时间在接收后扩展消息。为了处理消息，处理系统执行以下中的至少一个：（a）在将序列与扩展消息的最后部分混合之前，使其在接收之后随机化该消息序列的无声部分; （b）在接收到消息的静默部分之后从所述消息的无声部分中选择样本序列，在将所述序列与所述消息的最后部分混合之前，所选择的序列与所述扩展消息的最后部分不太相关; 以及（c）在发送之前将消息的动态范围压缩到取决于消息的信噪比的量，并且在接收之后大幅度地扩展消息的动态范围一定的量。

10. 发明授权

US06571229B1 Method and apparatus for inerative training of a classification system 有权
标题翻译：分类系统的无人训练的方法和装置
公开(公告)号：US06571229B1
公开(公告)日：2003-05-27
申请号：US09584155
申请日：2000-05-31
申请人： William Michael Campbell
发明人： William Michael Campbell
IPC分类号： G06F1518
CPC分类号： G06K9/6287 , G06F17/12 , G10L17/08
摘要： A process and apparatus for solving the product y=Rw, where R is a matrix and w is a vector. The process includes a steps of using a matrix outer product structure of R to determine all of the unique entries in R and storing the unique monomials. A different unique number is assigned to unique entries so that each unique entry has an associated number, and the associated numbers are stored. Rw is then solved using the stored associated numbers to obtain a result in terms of the associated numbers, and converting the result to entries from the matrix R. In the preferred embodiment, the process is used for iterative training in a classification system and especially a classification system on a portable platform.
摘要翻译：用于求解乘积y = Rw的过程和装置，其中R是矩阵，w是向量。该过程包括使用R的矩阵外积结构来确定R中的所有唯一条目并存储唯一单项式的步骤。将不同的唯一编号分配给唯一条目，以便每个唯一条目都具有相关号码，并存储相关号码。然后使用所存储的关联号码来解决Rw，以获得关于相关号码的结果，并将结果转换为来自矩阵R的条目。在优选实施例中，该过程用于分类系统中的迭代训练，特别是便携式平台上的分类系统。

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