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1.发明申请Speech Data Retrieval Apparatus, Speech Data Retrieval Method, Speech Data Retrieval Program and Computer Usable Medium Having Computer Readable Data Retrieval Program Embodied Therein 有权语音数据检索装置，语音数据检索方法，语音数据检索程序和具有计算机可读数据检索方案的计算机可用介质公开(公告)号：US20100121642A1
公开(公告)日：2010-05-13
申请号：US12593636
申请日：2008-11-04
IPC分类号： G10L15/04
CPC分类号： G06F16/60 , G06F16/685
摘要： A speech data retrieval apparatus (10) includes a speech database (1), a speech recognition unit (2), a confusion network creation unit (3), an inverted index table creation unit (4), a query input unit (6), a query conversion unit (7) and a label string check unit (8). The speech recognition unit (2) reads speech data from the speech database (1), carries out a speech recognition process with respect to the read speech data, and outputs a result of speech recognition process as a lattice in which a phoneme, a syllable, or a word is a base unit. The confusion network creation unit (3) creates a confusion network based on the output lattice and outputs the result of speech recognition process as the confusion network. The inverted index table creation unit (4) creates an inverted index table based on the output confusion network. The query input unit (6) receives a query input by a user, carries out a speech recognition process with respect to the received query, and outputs a result of speech recognition process as a character string. The query conversion unit (7) converts the output character string into a label string in which a phoneme, a syllable, or a word is a base unit. The label string check unit (8) checks the label string against the inverted index table and retrieves speech data which is included in both of the label string and the speech database (1).
摘要翻译： 语音数据检索装置（10）包括语音数据库（1），语音识别单元（2），混淆网络创建单元（3），反向索引表创建单元（4），查询输入单元（6） ，查询转换单元（7）和标签字符串检查单元（8）。 语音识别单元（2）从语音数据库（1）读取语音数据，对读取的语音数据执行语音识别处理，并将语音识别处理的结果输出为格子，其中音素，音节 ，或一个单词是基本单位。 混淆网络创建单元（3）基于输出格点创建混淆网络，并输出语音识别处理结果作为混淆网络。 反转索引表创建单元（4）基于输出混淆网络创建反向索引表。 查询输入单元（6）接收用户输入的查询，对接收到的查询执行语音识别处理，并输出语音识别处理结果作为字符串。 查询转换单元（7）将输出字符串转换为其中音素，音节或单词是基本单元的标签串。 标签字符串检查单元（8）根据反向索引表检查标签串，并检索包括在标签串和语音数据库（1）中的语音数据。
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2.发明申请公开(公告)号：US20080261045A1
公开(公告)日：2008-10-23
申请号：US12009467
申请日：2008-01-18
CPC分类号： A61K9/1676 , Y10T428/2991
摘要： The invention provides a method of making composite particles for efficient delivery of polyelectrolytes to a target. Composite particles are made by two methods: 1) by first forming disperse polyelectrolyte condensates, by mixing the polyelectrolyte with a condensing agent, and then combining the disperse polyelectrolyte condensates with particles so that the disperse polyelectrolyte condensates bind to the surfaces of the particles or 2) combining particles with opposite charge polyelectrolyte to form a polyelectrolyte coated particles followed by a subsequent polyelectrolyte of opposite charge to form a composite particle. The invention includes composite particles, where each composite particle is comprised of a particle with the polyelectrolyte from one or more polyelectrolyte condensates bound to that particle. One advantage of these composite particles is that they permit more efficient and increased amounts of polyelectrolytes to be delivered to a target, in comparison to the prior art. Delivery methods include but are not limited to methods whereby the particles are accelerated to a velocity sufficient to penetrate or reach the surface of the target by pneumatic, hydraulic, transferred impulse, macro projectile, centripetal force, explosive, electric discharge, mechanical vibration, magnetic, gravimetric, or electric field.
摘要翻译： 本发明提供了制备复合颗粒以有效地将聚电解质递送到靶的方法。 复合颗粒由两种方法制成：1）首先通过混合聚电解质与缩合剂形成分散的聚电解质冷凝物，然后将分散的聚电解质冷凝物与颗粒混合，使分散的聚电解质冷凝物与颗粒的表面或2 ）将颗粒与相反电荷的聚电解质组合以形成聚电解质涂覆的颗粒，随后是随后的相反电荷的聚电解质以形成复合颗粒。 本发明包括复合颗粒，其中每个复合颗粒由与一个或多个与该颗粒结合的聚电解质冷凝物的聚电解质的颗粒组成。 这些复合颗粒的一个优点是，与现有技术相比，它们允许更高效和更多量的聚电解质输送到靶。 输送方法包括但不限于通过气动，液压，传递的冲击，大射弹，向心力，爆炸物，放电，机械振动，磁性的方式将颗粒加速至足以穿透或到达目标表面的速度 ，重量或电场。
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公开(公告)号：US5677276A
公开(公告)日：1997-10-14
申请号：US469582
申请日：1995-06-05
申请人： Kenneth T. Dickerson , James R. Glass , Lin-Shu Liu , James W. Polarek , William S. Craig , Daniel G. Mullen , Soan Cheng
发明人： Kenneth T. Dickerson , James R. Glass , Lin-Shu Liu , James W. Polarek , William S. Craig , Daniel G. Mullen , Soan Cheng
IPC分类号： A61K38/00 , C07K1/107 , C07K14/00 , C07K14/78 , A61K38/08 , A61K38/10 , A61K38/14 , C07K1/113
CPC分类号： C07K1/1077 , C07K14/001 , C07K14/78 , A61K38/00
摘要： The present invention provides novel conjugates of a synthetic polypeptide containing RGD or (dR)GD and a biodegradable polymer, hyaluronate. The conjugates are prepared by any one of three different methods provided by the present invention: (1) an epoxide method (2) a sodium periodate method, and (3) a tresyl chloride method. The conjugates prepared by these methods are useful to aid in wound healing and tissue regeneration by providing a temporary matrix for tissue repair. The invention also provides novel RGD-peptides.
摘要翻译： 本发明提供了含有RGD或（dR）GD和可生物降解的聚合物透明质酸的合成多肽的新缀合物。 通过本发明提供的三种不同方法中的任一种制备共轭物：（1）环氧化物法（2）高碘酸钠法，（3）甲苯磺酸法。 通过这些方法制备的缀合物可用于通过提供用于组织修复的临时基质来帮助伤口愈合和组织再生。 本发明还提供新的RGD-肽。
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4.发明授权Speech data retrieval apparatus, speech data retrieval method, speech data retrieval program and computer usable medium having computer readable speech data retrieval program embodied therein 有权语音数据检索装置，语音数据检索方法，语音数据检索程序以及其中包含计算机可读语音数据检索程序的计算机可用介质公开(公告)号：US08386264B2
公开(公告)日：2013-02-26
申请号：US12593636
申请日：2008-04-11
IPC分类号： G10L15/00
CPC分类号： G06F17/3074 , G06F17/30746
摘要： A speech data retrieval apparatus (10) includes a speech database (1), a speech recognition unit (2), a confusion network creation unit (3), an inverted index table creation unit (4), a query input unit (6), a query conversion unit (7) and a label string check unit (8). The speech recognition unit (2) reads speech data from the speech database (1), carries out a speech recognition process with respect to the read speech data, and outputs a result of speech recognition process as a lattice in which a phoneme, a syllable, or a word is a base unit. The confusion network creation unit (3) creates a confusion network based on the output lattice and outputs the result of speech recognition process as the confusion network. The inverted index table creation unit (4) creates an inverted index table based on the output confusion network. The query input unit (6) receives a query input by a user, carries out a speech recognition process with respect to the received query, and outputs a result of speech recognition process as a character string. The query conversion unit (7) converts the output character string into a label string in which a phoneme, a syllable, or a word is a base unit. The label string check unit (8) checks the label string against the inverted index table and retrieves speech data which is included in both of the label string and the speech database (1).
摘要翻译： 语音数据检索装置（10）包括语音数据库（1），语音识别单元（2），混淆网络创建单元（3），反向索引表创建单元（4），查询输入单元（6） ，查询转换单元（7）和标签字符串检查单元（8）。 语音识别单元（2）从语音数据库（1）读取语音数据，对读取的语音数据执行语音识别处理，并将语音识别处理的结果输出为格子，其中音素，音节 ，或一个单词是基本单位。 混淆网络创建单元（3）基于输出格点创建混淆网络，并输出语音识别处理结果作为混淆网络。 反转索引表创建单元（4）基于输出混淆网络创建反向索引表。 查询输入单元（6）接收用户输入的查询，对接收到的查询执行语音识别处理，并输出语音识别处理结果作为字符串。 查询转换单元（7）将输出字符串转换为其中音素，音节或单词是基本单元的标签串。 标签字符串检查单元（8）根据反向索引表检查标签串，并检索包括在标签串和语音数据库（1）中的语音数据。
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5.发明授权Segment-based apparatus and method for speech recognition by analyzing multiple speech unit frames and modeling both temporal and spatial correlation 失效通过分析多个语音单元框架并对时间和空间相关性建模，进行语音识别的基于段的设备和方法
公开(公告)号：US5625749A
公开(公告)日：1997-04-29
申请号：US293584
申请日：1994-08-22
CPC分类号： G10L15/02 , G10L15/148
摘要： Phonetic recognition is provided by capturing dynamical behavior and statistical dependencies of the acoustic attributes used to represent a subject speech waveform. A segment based framework is employed. Temporal behavior is modelled explicitly by creating dynamic templates, called tracks, of the acoustic attributes used to represent the speech waveform, and by generating the estimation of the acoustic spatio-temporal correlation structure. An error model represents this estimation as the temporal and spatial correlations between the input speech waveform and track generated speech segment. Models incorporating these two components (track and error estimation) are created for both phonetic units and for phonetic transitions. Phonetic contextual influences are accounted for by merging context-dependent tracks and pooling error statistics over the different contexts. This allows for a large number of contextual models without compromising the robustness of the statistical parameter estimates. The transition models also supply contextual information.
摘要翻译： 通过捕获用于表示主语音波形的声学属性的动态行为和统计依赖性来提供语音识别。 采用基于分段的框架。 通过创建用于表示语音波形的声学属性的动态模板（称为轨迹），以及通过产生声学时空相关结构的估计来明确地建模时间行为。 误差模型将该估计表示为输入语音波形和轨道产生的语音段之间的时间和空间相关性。 结合这两个组件（轨迹和误差估计）的模型是为语音单元和语音转换而创建的。 通过在不同的上下文中合并上下文相关的曲目和汇总错误统计来解释语音语境影响。 这允许大量的上下文模型，而不会影响统计参数估计的鲁棒性。 转型模型还提供背景信息。
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