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    • 7. 发明申请
    • Voice recognition apparatus, method for recognizing voice, and navigation apparatus having the same
    • 语音识别装置,用于识别语音的方法和具有该语音识别装置的导航装置
    • US20100198093A1
    • 2010-08-05
    • US12656541
    • 2010-02-02
    • Yuusuke KatayamaKatsushi AsamiManabu Otsuka
    • Yuusuke KatayamaKatsushi AsamiManabu Otsuka
    • A61B5/0402G10L15/00
    • G10L15/22A61B5/117G10L2015/221G10L2015/227
    • A voice recognition apparatus includes: a voice input element for inputting voice of an user; a voice pattern memory for storing multiple voice patterns respectively corresponding to multiple phrases; a voice recognition element for calculating a similarity degree between the voice and each voice pattern and determining the highest similarity degree so that one voice pattern corresponding to the highest similarity degree is recognized as the voice; a display for displaying a recognition result corresponding to the one voice pattern; an execution determination element for executing a process according to the one voice pattern when a predetermined operation is input by the user; a load estimation element for estimating a load of the user; and a display controller for controlling the display based on a positive correlation between the load and display repetition of the recognition result on the display.
    • 语音识别装置包括:用于输入用户语音的语音输入元件; 用于分别对应于多个短语的多个语音模式的语音图案存储器; 语音识别元件,用于计算语音和每个语音模式之间的相似度并确定最高相似度,使得与最高相似度对应的一个语音模式被识别为语音; 显示器,用于显示与一个声音图形相对应的识别结果; 执行确定元件,用于当用户输入预定操作时,执行根据所述一个语音模式的处理; 用于估计用户的负载的负载估计元件; 以及显示控制器,用于基于显示器上的识别结果的负载和显示重复之间的正相关来控制显示。
    • 8. 发明申请
    • ORGANIC EL DEVICE
    • 有机EL设备
    • US20080254305A1
    • 2008-10-16
    • US11930863
    • 2007-10-31
    • Toshihiko TakedaManabu Otsuka
    • Toshihiko TakedaManabu Otsuka
    • B32B15/00
    • H01L51/5092Y10T428/31678
    • An object of the present invention is to provide an organic EL device including an electron injection layer having the state which can be specified with a physical quantity that can be measured with a simple measuring unit. The organic EL device includes, as an electron injection layer, a co-deposited film using a product obtained by evaporating at least one of a metal and a metal compound under heat and a product obtained by evaporating an organic substance under heat as raw materials, wherein the electron injection layer has a strength ratio of a maximum value for a Raman signal strength in a range of (1,600±50) cm−1 to a maximum value for the Raman signal strength in a range of (1,360±60) cm−1 which ratio is 1.1 or more.
    • 本发明的目的是提供一种有机电致发光器件,其包括电子注入层,该电子注入层具有可用简单测量单元测量的物理量指定的状态。 作为电子注入层,使用通过在加热下蒸发金属和金属化合物中的至少一种而获得的产物和作为原料蒸发有机物质而获得的产物作为电子注入层的有机EL元件, 其特征在于,所述电子注入层的拉曼信号强度的最大值(1,600±50)cm -1以上的强度比与所述拉曼信号强度的最大值的范围 (1,360±60)cm -1的比例为1.1以上。
    • 9. 发明授权
    • Noise cancellation system, speech recognition system, and car navigation system
    • 噪音消除系统,语音识别系统和汽车导航系统
    • US08010354B2
    • 2011-08-30
    • US11023553
    • 2004-12-29
    • Manabu OtsukaIchiro Akahori
    • Manabu OtsukaIchiro Akahori
    • G10L15/20
    • G01C21/3608G10L15/20G10L21/0208
    • A noise cancellation system with improved performance for canceling from an input signal of a microphone a noise component relating to reproduced sound of an audio system reproducing multiple channels of sound, provided with an audio canceller for acquiring audio signals of two channels and processing them by filter coefficients by convolutional processing so as to produce noise cancellation signals at adaptive filters, an adder for adding the input signal of the microphone and the noise cancellation signals, canceling the noise component from the input signal, and outputting the signal after noise cancellation, nonlinear converters for nonlinear conversion of the signal after noise cancellation, and filter learning units for calculating the filter coefficients to be set next based on the nonlinear converted signal.
    • 一种噪声消除系统,具有改进的性能,用于从麦克风的输入信号中消除与再现多声道的音频系统的再现声音相关的噪声分量,该音频消除器用于获取两个声道的音频信号并通过滤波器处理它们 系数,以便在自适应滤波器上产生噪声消除信号,加法器,用于将麦克风的输入信号和噪声消除信号相加,从输入信号中消除噪声分量,并在噪声消除后输出信号;非线性转换器 用于噪声消除后的信号的非线性转换,以及用于基于非线性转换信号计算下一个要设置的滤波器系数的滤波学习单元。