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    • 11. 发明授权
    • Vocabulary independent discriminative utterance verification for
non-keyword rejection in subword based speech recognition
    • 词义独立的歧视话语验证在非关键词拒绝基于词的语音识别
    • US5675706A
    • 1997-10-07
    • US414243
    • 1995-03-31
    • Chin-Hui LeeRafid Antoon Sukkar
    • Chin-Hui LeeRafid Antoon Sukkar
    • G10L15/00G10L15/04G10L15/14G10L5/04
    • G10L15/04G10L15/142G10L2015/088
    • A verification system to determine unknown input speech contains a recognized keyword or consists of speech or other sounds that do not contain any of the keywords. The verification system is designed to operate on the subword level, so that the verification process is advantageously vocabulary independent. Such a vocabulary-independent verifier is achieved by a two-stage verification process comprising subword level verification followed by string level verification. The subword level verification stage verifies each subword segment in the input speech as determined by an Hidden Markov Model recognizer to determine if that segment consists of the sound corresponding to the subword that the HMM recognizer assigned to that segment. The string level verification stage combines the results of the subword level verification to make the rejection decision for the whole keyword. Advantageously, the training of this two-stage verifier is independent of the specific vocabulary set implying that when the vocabulary set is update or changed the verifier need not be retrained and can still be reliably verifying the new set of keywords.
    • 用于确定未知输入语音的验证系统包含识别的关键字或由不包含任何关键字的语音或其他声音组成。 验证系统被设计为在子词级上操作,使得验证过程有利于词汇独立。 这种与词汇无关的验证器通过两级验证过程来实现,该验证过程包括字符级验证,随后是字符串级验证。 子词级验证阶段验证由隐马尔可夫模型识别器确定的输入语音中的每个子词段,以确定该段是否由HMM识别器分配给该段的子词对应的声音组成。 字符串级验证阶段结合了词级验证的结果,为整个关键字做出拒绝决定。 有利的是,这种两阶段验证者的训练是独立于具体的词汇集,这意味着当词汇集被更新或改变时,验证者不需要再培训,并且仍然可靠地验证新的关键词集合。
    • 13. 发明授权
    • Digital tone decoder and method of decoding tones using linear
prediction coding
    • 数字音调解码器和使用线性预测编码解码音调的方法
    • US4689760A
    • 1987-08-25
    • US670585
    • 1984-11-09
    • Chin-hui LeeDavid Y. Wong
    • Chin-hui LeeDavid Y. Wong
    • H04Q1/457G06G7/19H04M3/00
    • H04Q1/4575
    • An all digital feature based pattern recognition tone detection system distinguishes one or more tones from speech or other background noise and provides extremely reliable, low cost DTMF tone detection. The system includes a digital signal processing system which uses a modified PARCOR signal analysis technique to efficiently calculate inverse filter coefficients defining in functional form a smoothed LPC spectrum from a received frame of digital pulse code data. A Fourier transform provides high resolution evaluation of the LPC data at frequencies of interest to permit evaluation of the spectral response in accordance with known features of an expected tone signal.
    • 基于全数字特征的模式识别音检测系统将一个或多个音调区分为语音或其他背景噪声,并提供极其可靠,低成本的DTMF音检测。 该系统包括数字信号处理系统,其使用经修改的PARCOR信号分析技术来有效地计算从接收的数字脉冲码数据帧中以功能形式定义平滑LPC频谱的反相滤波器系数。 傅立叶变换提供感兴趣频率的LPC数据的高分辨率评估,以允许根据预期音调信号的已知特征来评估频谱响应。
    • 16. 发明授权
    • Background model design for flexible and portable speaker verification systems
    • 用于灵活和便携式扬声器验证系统的背景模型设计
    • US06519563B1
    • 2003-02-11
    • US09444106
    • 1999-11-22
    • Chin-Hui LeeQi P. LiOlivier SiohanArun Chandrasekaran Surendran
    • Chin-Hui LeeQi P. LiOlivier SiohanArun Chandrasekaran Surendran
    • G10L1514
    • G10L17/04G10L17/16
    • A speaker verification method and apparatus which advantageously minimizes the constraints on the customer and simplifies the system architecture by using a speaker dependent, rather than a speaker independent, background model, thereby obtaining many of the advantages of using a background model in a speaker verification process without many of the disadvantages thereof. In particular, no training data (e.g. speech) from anyone other than the customer is required, no speaker independent models need to be produced, no a priori knowledge of acoustic rules are required, and, no multi-lingual phone models, dictionaries, or letter-to-sound rules are needed. Nonetheless, in accordance with an illustrative embodiment of the present invention, the customer is free to select any password phrase in any language. Specifically, and in accordance with an illustrative embodiment of the present invention, the background model comprises a hidden Markov model having a cruder acoustic resolution than the customer model, which may, for example, be achieved by providing a background model containing fewer states than the customer model.
    • 扬声器验证方法和装置,其有利地最小化对客户的约束并且通过使用说话者依赖而不是独立于扬声器的背景模型来简化系统架构,从而获得在说话者验证过程中使用背景模型的许多优点 没有许多缺点。 特别是,不需要除客户以外的任何人员的培训数据(例如语音),不需要制作无须讲话的独立模型,不需要对声学规则的先验知识,也不需要多语言手机模型,词典或 需要符合条件的规则。 然而,根据本发明的说明性实施例,客户可以随意选择任何语言的任何密码短语。 具体地,根据本发明的说明性实施例,背景模型包括具有比客户模型更为重要的声音分辨率的隐马尔可夫模型,其可以例如通过提供包含比该模型更少的状态的背景模型来实现 客户型号。
    • 17. 发明授权
    • Method of forming a node contact hole on a semiconductor wafer
    • 在半导体晶片上形成节点接触孔的方法
    • US06277685B1
    • 2001-08-21
    • US09421261
    • 1999-10-20
    • Benjamin Szu-Min LinJung-Chao ChiouChin-Hui LeeChuan-Fu Wang
    • Benjamin Szu-Min LinJung-Chao ChiouChin-Hui LeeChuan-Fu Wang
    • H01L218242
    • H01L27/10855H01L21/76802H01L21/76831H01L21/76895H01L21/76897
    • The present invention provides a method of forming a node contact hole on a semiconductor wafer. The semiconductor wafer comprises a silicon substrate, a first dielectric layer positioned on the silicon substrate, two bit lines positioned on the first dielectric layer which form a first groove between the two bit lines and the surface of the first dielectric layer, and a second dielectric layer positioned on each of the two bit lines. A lithographic process is performed to form a photoresist layer on the second dielectric layer with at least one second groove extending down to the second dielectric layer wherein the second groove is positioned above the first groove and is perpendicular to the first groove. An etching process is performed along the second groove of the photoresist layer to remove the second dielectric layer and the first dielectric layer under the second groove down to the surface of the silicon substrate so as to approximately form the node contact hole. Finally, a spacer is formed using an insulating material on the walls of the node contact hole to complete the node contact hole. The spacer completely covers the walls of the two bit lines within the node contact hole but the surface of the silicon substrate exposed at the bottom of the node contact hole is not completely covered by the spacer.
    • 本发明提供一种在半导体晶片上形成节点接触孔的方法。 半导体晶片包括硅衬底,位于硅衬底上的第一电介质层,位于第一电介质层上的两个位线,其在两个位线之间形成第一沟槽和第一电介质层的表面;以及第二电介质 层位于两个位线中的每一个上。 执行平版印刷工艺以在第二介电层上形成光致抗蚀剂层,其中至少一个第二凹槽向下延伸到第二介电层,其中第二凹槽位于第一凹槽的上方并且垂直于第一凹槽。 沿着光致抗蚀剂层的第二凹槽进行蚀刻处理,以将第二介电层和第二凹槽下的第一介电层向下移动到硅衬底的表面,以便大致形成节点接触孔。 最后,在节点接触孔的壁上使用绝缘材料形成间隔物,以完成节点接触孔。 间隔件完全覆盖节点接触孔内的两个位线的壁,但是在节点接触孔的底部露出的硅衬底的表面不完全被间隔件覆盖。
    • 19. 发明授权
    • Discriminative utterance verification for connected digits recognition
    • 连接数字识别的歧视性话语验证
    • US5737489A
    • 1998-04-07
    • US528902
    • 1995-09-15
    • Wu ChouBiing-Hwang JuangChin-Hui LeeMazin G. Rahim
    • Wu ChouBiing-Hwang JuangChin-Hui LeeMazin G. Rahim
    • G09B19/06G10L15/06G10L15/10G10L15/14G10L15/22G10L15/28G10L5/06
    • G10L15/144G10L15/063G10L15/10
    • In a speech recognition system, a recognition processor receives an unknown utterance signal as input. The recognition processor in response to the unknown utterance signal input accesses a recognition database and scores the utterance signal against recognition models in the recognition database to classify the unknown utterance and to generate a hypothesis speech signal. A verification processor receives the hypothesis speech signal as input to be verified. The verification processor accesses a verification database to test the hypothesis speech signal against verification models reflecting a preselected type of training stored in the verification database. Based on the verification test, the verification processor generates a confidence measure signal. The confidence measure signal can be compared against a verification threshold to determine the accuracy of the recognition decision made by the recognition processor.
    • 在语音识别系统中,识别处理器接收未知的话音信号作为输入。 响应于未知话语信号输入的识别处理器访问识别数据库,并根据识别数据库中的识别模型对话音信号进行评分,以对未知话语进行分类并生成假设语音信号。 验证处理器接收假设语音信号作为待验证的输入。 验证处理器访问验证数据库以针对反映存储在验证数据库中的预选类型的训练的验证模型来测试假设语音信号。 基于验证测试,验证处理器产生置信度测量信号。 可以将置信度信号与验证阈值进行比较,以确定由识别处理器进行的识别决策的准确性。