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    • 1. 发明授权
    • Indoor positioning system
    • 室内定位系统
    • US09557178B2
    • 2017-01-31
    • US14450890
    • 2014-08-04
    • Tata Consultancy Services Ltd.
    • Avik GhoseArpan PalAnirban Dutta ChoudhuryVivek ChandelChirabrata BhaumikTanushyam Chattopadhyay
    • G01C21/20G01R33/038H04W4/04H04W64/00
    • G01C21/206G01R33/038H04W4/04H04W64/00
    • An indoor positioning system and method of localizing a person/object in an indoor environment by identifying the orientation and direction of a person/object to provide a true location of the person/object without navigation errors. The system comprises magnets disposed on a doorway to create a unique magnetic field; a wireless communication unit comprising a magnetometer sensor to sense perturbations in each of the unique magnetic fields in the event that the person/object with the wireless communication unit passes through the doorway, and generate corresponding signals; a processor receiving the signals and extracting data from the same; and a backend server wirelessly communicating with the wireless communication unit, the backend server processing the data sample received from the wireless communication unit to identify the opening and the wireless communication unit to localize the person/object.
    • 一种室内定位系统和方法,其通过识别人/物体的方向和方向来定位人/物体在室内环境中,以提供人/物体的真实位置而不导航错误。 该系统包括设置在门口上以产生唯一磁场的磁体; 一种无线通信单元,包括磁力计传感器,用于在与无线通信单元的人/物体通过门口的情况下感测每个独特磁场中的扰动,并产生相应的信号; 处理器接收信号并从其中提取数据; 以及与所述无线通信单元无线通信的后端服务器,所述后端服务器处理从所述无线通信单元接收到的所述数据样本,以识别所述开放部分,以及所述无线通信单元以使所述人/物体本地化。
    • 2. 发明授权
    • Document transcription system training
    • 文件转录系统培训
    • US09552809B2
    • 2017-01-24
    • US15066677
    • 2016-03-10
    • MModal IP LLC
    • Girija YegnanarayananMichael FinkeJuergen FritschDetlef KollMonika Woszczyna
    • G10L15/06G10L15/193G10L15/26
    • G10L15/063G10L15/193G10L15/26
    • A system is provided for training an acoustic model for use in speech recognition. In particular, such a system may be used to perform training based on a spoken audio stream and a non-literal transcript of the spoken audio stream. Such a system may identify text in the non-literal transcript which represents concepts having multiple spoken forms. The system may attempt to identify the actual spoken form in the audio stream which produced the corresponding text in the non-literal transcript, and thereby produce a revised transcript which more accurately represents the spoken audio stream. The revised, and more accurate, transcript may be used to train the acoustic model, thereby producing a better acoustic model than that which would be produced using conventional techniques, which perform training based directly on the original non-literal transcript.
    • 提供用于训练用于语音识别的声学模型的系统。 特别地,这样的系统可以用于基于口语音频流和口头音频流的非文字转录来执行训练。 这样的系统可以识别表示具有多个口头形式的概念的非文字记录中的文本。 该系统可以尝试在音频流中识别在非文字转录中产生相应文本的音频流中的实际语音形式,从而产生更准确地表示语音音频流的经修改的脚本。 修改和更准确的誊本可用于训练声学模型,从而产生比使用直接基于原始非文字誊本进行训练的常规技术产生的更好的声学模型。
    • 9. 发明授权
    • Processing with compact arithmetic processing element
    • 使用紧凑的算术处理元件进行处理
    • US09218156B2
    • 2015-12-22
    • US13849606
    • 2013-03-25
    • Singular Computing LLC
    • Joseph Bates
    • G06F7/38G06F7/483G06F7/523H03K19/177
    • G06F7/483G06F7/38G06F7/4833G06F7/5235H03K19/17728
    • A processor or other device, such as a programmable and/or massively parallel processor or other device, includes processing elements designed to perform arithmetic operations (possibly but not necessarily including, for example, one or more of addition, multiplication, subtraction, and division) on numerical values of low precision but high dynamic range (“LPHDR arithmetic”). Such a processor or other device may, for example, be implemented on a single chip. Whether or not implemented on a single chip, the number of LPHDR arithmetic elements in the processor or other device in certain embodiments of the present invention significantly exceeds (e.g., by at least 20 more than three times) the number of arithmetic elements, if any, in the processor or other device which are designed to perform high dynamic range arithmetic of traditional precision (such as 32 bit or 64 bit floating point arithmetic).
    • 诸如可编程和/或大规模并行处理器或其他设备的处理器或其他设备包括被设计为执行算术运算(可能但不一定包括例如加法,乘法,减法和除法中的一个或多个)的处理元件 )对低精度但高动态范围的数值(“LPHDR算术”)。 这样的处理器或其他设备可以例如在单个芯片上实现。 无论是否在单个芯片上实现,本发明的某些实施例中的处理器或其他设备中的LPHDR算术元件的数量显着地超过(例如,至少20倍以上)算术元素的数量(如果有的话) ,在处理器或其他设备中,被设计为执行传统精度的高动态范围算术(例如32位或64位浮点运算)。