Pet tracker case
    1.
    外观设计

    公开(公告)号:USD1014876S1

    公开(公告)日:2024-02-13

    申请号:US29902507

    申请日:2023-09-13

    申请人: Lijuan Wang

    设计人: Lijuan Wang

    摘要: FIG. 1 is a perspective view of a pet tracker case showing my new design;
    FIG. 2 is a perspective view thereof from another angle;
    FIG. 3 is a front elevational view thereof;
    FIG. 4 is a rear elevational view thereof;
    FIG. 5 is a left side elevational view thereof;
    FIG. 6 is a right side elevational view thereof;
    FIG. 7 is a top plan view thereof; and,
    FIG. 8 is a bottom plan view thereof.

    Unnatural prosody detection in speech synthesis

    公开(公告)号:US08583438B2

    公开(公告)日:2013-11-12

    申请号:US11903020

    申请日:2007-09-20

    IPC分类号: G10L13/00

    CPC分类号: G10L13/10

    摘要: Described is a technology by which synthesized speech generated from text is evaluated against a prosody model (trained offline) to determine whether the speech will sound unnatural. If so, the speech is regenerated with modified data. The evaluation and regeneration may be iterative until deemed natural sounding. For example, text is built into a lattice that is then (e.g., Viterbi) searched to find a best path. The sections (e.g., units) of data on the path are evaluated via a prosody model. If the evaluation deems a section to correspond to unnatural prosody, that section is replaced, e.g., by modifying/pruning the lattice and re-performing the search. Replacement may be iterative until all sections pass the evaluation. Unnatural prosody detection may be biased such that during evaluation, unnatural prosody is falsely detected at a higher rate relative to a rate at which unnatural prosody is missed.

    Speech and text driven HMM-based body animation synthesis
    3.
    发明授权
    Speech and text driven HMM-based body animation synthesis 有权
    语音和文本驱动的基于HMM的身体动画综合

    公开(公告)号:US08224652B2

    公开(公告)日:2012-07-17

    申请号:US12239564

    申请日:2008-09-26

    IPC分类号: G10L21/00

    摘要: An “Animation Synthesizer” uses trainable probabilistic models, such as Hidden Markov Models (HMM), Artificial Neural Networks (ANN), etc., to provide speech and text driven body animation synthesis. Probabilistic models are trained using synchronized motion and speech inputs (e.g., live or recorded audio/video feeds) at various speech levels, such as sentences, phrases, words, phonemes, sub-phonemes, etc., depending upon the available data, and the motion type or body part being modeled. The Animation Synthesizer then uses the trainable probabilistic model for selecting animation trajectories for one or more different body parts (e.g., face, head, hands, arms, etc.) based on an arbitrary text and/or speech input. These animation trajectories are then used to synthesize a sequence of animations for digital avatars, cartoon characters, computer generated anthropomorphic persons or creatures, actual motions for physical robots, etc., that are synchronized with a speech output corresponding to the text and/or speech input.

    摘要翻译: “动画合成器”采用隐马尔可夫模型(HMM),人工神经网络(ANN)等可训练概率模型,提供语音和文本驱动的人体动画合成。 根据可用数据,在各种语音级别(例如句子,短语,单词,音素,子音素等)上使用同步运动和语音输入(例如,实况或记录的音频/视频馈送)训练概率模型,以及 运动类型或身体部位被建模。 动画合成器然后使用可训练概率模型来基于任意文本和/或语音输入来选择一个或多个不同身体部位(例如,面部,头部,手,手臂等)的动画轨迹。 然后,这些动画轨迹用于合成数字化身,卡通人物,计算机生成的拟人或生物的动画序列,物理机器人的实际动作等,其与对应于文本和/或语音的语音输出同步 输入。

    Real-time Animation for an Expressive Avatar
    4.
    发明申请
    Real-time Animation for an Expressive Avatar 审中-公开
    表达性头像的实时动画

    公开(公告)号:US20120130717A1

    公开(公告)日:2012-05-24

    申请号:US12950801

    申请日:2010-11-19

    IPC分类号: G10L13/00 G06T13/00

    摘要: Techniques for providing real-time animation for a personalized cartoon avatar are described. In one example, a process trains one or more animated models to provide a set of probabilistic motions of one or more upper body parts based on speech and motion data. The process links one or more predetermined phrases that represent emotional states to the one or more animated models. After creation of the models, the process receives real-time speech input. Next, the process identifies an emotional state to be expressed based on the one or more predetermined phrases matching in context to the real-time speech input. The process then generates an animated sequence of motions of the one or more upper body parts by applying the one or more animated models in response to the real-time speech input.

    摘要翻译: 描述了为个性化卡通头像提供实时动画的技术。 在一个示例中,过程训练一个或多个动画模型,以基于语音和运动数据提供一组或多个上半身部分的概率运动。 该过程将表示情绪状态的一个或多个预定短语链接到一个或多个动画模型。 在创建模型之后,该过程接收实时语音输入。 接下来,该过程基于在上下文中与实时语音输入匹配的一个或多个预定短语来识别要表达的情绪状态。 然后,该过程通过响应于实时语音输入应用一个或多个动画模型来生成一个或多个上身部分的动画序列。

    Refining of segmental boundaries in speech waveforms using contextual-dependent models
    5.
    发明申请
    Refining of segmental boundaries in speech waveforms using contextual-dependent models 失效
    使用上下文相关模型对语音波形中的分段边界进行精细化

    公开(公告)号:US20050228664A1

    公开(公告)日:2005-10-13

    申请号:US10823129

    申请日:2004-04-13

    IPC分类号: G10L15/02 G10L15/06

    CPC分类号: G10L15/02 G10L2015/022

    摘要: A method and apparatus are provided for refining segmental boundaries in speech waveforms. Contextual acoustic feature similarities are used as a basis for clustering adjacent phoneme speech units, where each adjacent pair phoneme speech units include a segmental boundary. A refining model is trained for each cluster and used to refine boundaries of contextual phoneme speech units forming the clusters.

    摘要翻译: 提供了一种用于在语音波形中精细化分段边界的方法和装置。 上下文声学特征相似性被用作聚类相邻音素语音单元的基础,其中每个相邻对的音素语音单元包括节段边界。 针对每个群集训练一个细化模型,并用于精化形成群集的上下文音素语音单元的边界。

    Use of the green fluorescent protein as a screenable marker for plant transformation
    10.
    发明授权
    Use of the green fluorescent protein as a screenable marker for plant transformation 失效
    使用绿色荧光蛋白作为植物转化的可筛选标记

    公开(公告)号:US06486382B1

    公开(公告)日:2002-11-26

    申请号:US09214909

    申请日:1999-12-20

    IPC分类号: C12N1582

    摘要: A method for the production of transgenic plants is provided in which a vector carrying a gene encoding the green fluorescent protein is introduced into cells, the cells are screened for the protein and transformed cells are selected and regenerated. The cellular toxicity of the green fluorescent protein is circumvented by regulating expression of the gene encoding the protein or directing the protein to a subcellular compartment where it is not toxic to the cell. DNA constructs are provided for cell transformation in which the expression of a gene encoding the green fluorescent protein is placed under the control of an inducible promoter. In addition, DNA constructs are provided in which a nucleotide sequence encoding the green fluorescent protein is operably linked to a signal sequence which directs the expressed protein to a subcellular compartment where the protein is not toxic to the cell. Oxidative stress to plant cells transformed with GFP also can be ameliorated by transforming cells with an expression vector comprising genes encoding GFP and an oxygen scavenger enzyme such as superoxide dismutase. The toxicity of GFP in transformed plants can be eliminated by excising the screenable marker gene following detection of transformed cells or sectors. The FLP/FRT system is used in conjunction with GFP as a visible marker for transformation and FRT excision. A nucleotide sequence optimized for expression of the green fluorecent protein in plants is also provided.

    摘要翻译: 提供了一种用于生产转基因植物的方法,其中将携带编码绿色荧光蛋白的基因的载体导入细胞,筛选细胞以进行蛋白质,并选择和再生转化的细胞。 绿色荧光蛋白的细胞毒性通过调节编码蛋白质的基因的表达或引导蛋白质转移到对细胞无毒性的亚细胞区域来避免。 提供DNA构建体用于细胞转化,其中将编码绿色荧光蛋白的基因的表达置于诱导型启动子的控制之下。 此外,提供了DNA构建体,其中编码绿色荧光蛋白的核苷酸序列可操作地连接到将表达的蛋白质导向亚细胞区域的信号序列,其中蛋白质对细胞无毒性。 用GFP转化的植物细胞的氧化应激也可以通过用包含编码GFP和氧清除酶如超氧化物歧化酶的基因的表达载体转化细胞来改善。 通过在检测到转化的细胞或部分后切除可筛选标记基因,可以消除GFP在转化植物中的毒性。 FLP / FRT系统与GFP结合使用,作为转化和FRT切除的可见标记。 还提供了优化用于植物中绿色荧光蛋白表达的核苷酸序列。