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    • 1. 发明授权
    • Behavior recognition system and method by combining image and speech
    • 行为识别系统和方法通过组合图像和语音
    • US08487867B2
    • 2013-07-16
    • US12634148
    • 2009-12-09
    • Chung-Hsien WuJen-Chun LinWen-Li WeiChia-Te ChuRed-Tom LinChin-Shun Hsu
    • Chung-Hsien WuJen-Chun LinWen-Li WeiChia-Te ChuRed-Tom LinChin-Shun Hsu
    • G09G5/00
    • G10L15/24G06F3/011G06F3/017G06F3/038G06F2203/011G06F2203/0381G06K9/00335
    • A behavior recognition system and method by combining an image and a speech are provided. The system includes a data analyzing module, a database, and a calculating module. A plurality of image-and-speech relation modules is stored in the database. Each image-and-speech relation module includes a feature extraction parameter and an image-and-speech relation parameter. The data analyzing module obtains a gesture image and a speech data corresponding to each other, and substitutes the gesture image and the speech data into each feature extraction parameter to generate image feature sequences and speech feature sequences. The data analyzing module uses each image-and-speech relation parameter to calculate image-and-speech status parameters. The calculating module uses the image-and-speech status parameters, the image feature sequences, and the speech feature sequences to calculate a recognition probability corresponding to each image-and-speech relation parameter, so as to take a maximum value among the recognition probabilities as a target parameter.
    • 提供了一种组合图像和语音的行为识别系统和方法。 该系统包括数据分析模块,数据库和计算模块。 多个图像和语音关系模块被存储在数据库中。 每个图像和语音关系模块包括特征提取参数和图像和语音关系参数。 数据分析模块获得彼此对应的手势图像和语音数据,并将手势图像和语音数据代入每个特征提取参数,以生成图像特征序列和语音特征序列。 数据分析模块使用每个图像和语音关系参数来计算图像和语音状态参数。 计算模块使用图像和语音状态参数,图像特征序列和语音特征序列来计算与每个图像和语音关系参数对应的识别概率,以便在识别概率之中取最大值 作为目标参数。
    • 4. 发明授权
    • Multimedia data management by speech recognizer annotation
    • 通过语音识别器注释进行多媒体数据管理
    • US07739110B2
    • 2010-06-15
    • US11565628
    • 2006-12-01
    • Chung-Hsien WuYu-Sheng LaiChien-Lin HuangChia-Hao Kang
    • Chung-Hsien WuYu-Sheng LaiChien-Lin HuangChia-Hao Kang
    • G10L15/00G10L15/08G06F17/30
    • G10L21/06G10L15/26
    • A method and an apparatus for multimedia data management are disclosed. The method provides an indexing and retrieval scheme for digital photos with speech annotations based on image-like patterns transformed from the recognized syllable candidates. For annotated spoken content, the recognized n-best syllable candidates are transformed into a sequence of syllable-transformed patterns. Eigen-image analysis is further adopted to extract the significant information to reduce the dimensionality. Vector quantization is applied to quantize the syllable-transformed patterns into feature vectors for indexing. The invention of indexing scheme reduces the dimensionality and noise of data, and achieves better performance of 16.26% for speech annotated photo retrieval.
    • 公开了一种用于多媒体数据管理的方法和装置。 该方法为基于从识别的音节候选者转换的图像样式的语音注释的数字照片提供索引和检索方案。 对于有注释的口头内容,识别的最好的音节候选人被转换成音节转换模式的序列。 进一步采用特征图像分析提取重要信息以降低维数。 矢量量化被应用于将音节变换模式量化为用于索引的特征向量。 索引方案的发明降低了数据的维度和噪声,并且对于语音注释的照片检索实现了更高的16.26%的性能。
    • 6. 发明授权
    • Semiconductor read-only memory device and method of fabricating the same
    • US06380587B1
    • 2002-04-30
    • US09706527
    • 2000-11-03
    • Shing-Ren SheuChung-Hsien WuChih-Ming Huang
    • Shing-Ren SheuChung-Hsien WuChih-Ming Huang
    • H01L2976
    • H01L27/1126H01L27/105H01L27/11293
    • A semiconductor read-only memory (ROM) and a method of fabricating the same are provided. The ROM device is structured in such a manner that allows the fabrication to include a fewer number of mask processes. This makes it more cost effective and allows a cycle time that is shorter than that of the prior art. Moreover, the particular structure of the ROM device makes punchthrough less likely to occur between any neighboring pairs of the buried bit lines when the ROM device is further scaled down. The ROM device is constructed on a semiconductor substrate which is partitioned into a peripheral region and a cell region. A plurality of STI structures are formed at predefined locations in both the peripheral region and the cell region. Immediately after this, a first ion-implantation process can be performed on the cell region to form a plurality of buried bit lines. Subsequently, the dielectric isolation layers in all of the STI structures in the cell region are removed, leaving a plurality of empty trenches behind. A conformal insulating layer and a conductive layer are then successively formed over the wafer, and the conductive layer is further selectively removed to form a word line in the cell region and a gate in the peripheral region. In the code implantation process, selected channel regions between the buried bit lines are doped with impurities for code implantation of data into the ROM device.
    • 7. 发明授权
    • Method of forming a contact window
    • 形成接触窗的方法
    • US6103608A
    • 2000-08-15
    • US62661
    • 1998-04-20
    • Yi-Min JenChung-Hsien Wu
    • Yi-Min JenChung-Hsien Wu
    • H01L21/60H01L21/336H01L21/4763
    • H01L21/76897
    • The present invention discloses a method of forming a contact window on a substrate. The method in the present invention includes a step of forming a gate structure on said substrate having a gate oxide, a gate electrode on the gate oxide, and a gate electrode protection layer on the gate electrode, a step of forming a protection layer conforming with the substrate and the gate structure, and a step of forming a first insulation layer over the protection layer. The method further includes removing a portion of the first insulation layer and a portion of the protection layer for forming side wall spacers at side walls of the gate structure, performing a ion implantation to the substrate using the gate structure and the side wall spacers as a mask, and then forming a second insulation layer on the substrate, the side wall spacers, and the gate structure. The method further includes patterning a photoresist layer on the second insulation layer to expose a portion of second insulation layer for making a connection. Finally, a portion of the second insulation layer is removed for forming a contact window.
    • 本发明公开了一种在基板上形成接触窗的方法。 本发明的方法包括:在具有栅极氧化物的栅极结构上形成栅极结构的步骤,栅极氧化物上的栅电极和栅电极上的栅电极保护层,形成与 基板和栅极结构,以及在保护层上形成第一绝缘层的步骤。 该方法还包括去除第一绝缘层的一部分和用于在栅极结构的侧壁处形成侧壁间隔物的保护层的一部分,使用栅极结构和侧壁间隔物作为离子注入到基底 掩模,然后在衬底,侧壁间隔物和栅极结构上形成第二绝缘层。 该方法还包括在第二绝缘层上图案化光致抗蚀剂层,以露出用于进行连接的第二绝缘层的一部分。 最后,去除第二绝缘层的一部分以形成接触窗。
    • 9. 发明申请
    • BEHAVIOR RECOGNITION SYSTEM AND METHOD BY COMBINING IMAGE AND SPEECH
    • 行为识别系统和方法通过组合图像和语音
    • US20110109539A1
    • 2011-05-12
    • US12634148
    • 2009-12-09
    • Chung-Hsien WuJen-Chun LinWen-Li WeiChia-Te ChuRed-Tom LinChin-Shun Hsu
    • Chung-Hsien WuJen-Chun LinWen-Li WeiChia-Te ChuRed-Tom LinChin-Shun Hsu
    • G06F3/01G10L15/02G06K9/46
    • G10L15/24G06F3/011G06F3/017G06F3/038G06F2203/011G06F2203/0381G06K9/00335
    • A behavior recognition system and method by combining an image and a speech are provided. The system includes a data analyzing module, a database, and a calculating module. A plurality of image-and-speech relation modules is stored in the database. Each image-and-speech relation module includes a feature extraction parameter and an image-and-speech relation parameter. The data analyzing module obtains a gesture image and a speech data corresponding to each other, and substitutes the gesture image and the speech data into each feature extraction parameter to generate image feature sequences and speech feature sequences. The data analyzing module uses each image-and-speech relation parameter to calculate image-and-speech status parameters. The calculating module uses the image-and-speech status parameters, the image feature sequences, and the speech feature sequences to calculate a recognition probability corresponding to each image-and-speech relation parameter, so as to take a maximum value among the recognition probabilities as a target parameter.
    • 提供了一种通过组合图像和语音的行为识别系统和方法。 该系统包括数据分析模块,数据库和计算模块。 多个图像和语音关系模块被存储在数据库中。 每个图像和语音关系模块包括特征提取参数和图像和语音关系参数。 数据分析模块获得彼此对应的手势图像和语音数据,并将手势图像和语音数据代入每个特征提取参数,以生成图像特征序列和语音特征序列。 数据分析模块使用每个图像和语音关系参数来计算图像和语音状态参数。 计算模块使用图像和语音状态参数,图像特征序列和语音特征序列来计算与每个图像和语音关系参数对应的识别概率,以便在识别概率之中取最大值 作为目标参数。