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    • 71. 发明申请
    • AUDIO CAPTURING ENHANCEMENT METHOD AND AUDIO CAPTURING SYSTEM USING THE SAME
    • 使用该方法的音频提取方法和音频捕获系统
    • US20160295320A1
    • 2016-10-06
    • US14673886
    • 2015-03-31
    • ASUSTeK COMPUTER INC.
    • Bhoomek D. PandyaNikhil Bhave
    • H04R1/40G10L25/78H03G3/20
    • H04R1/406G10L21/0208G10L25/12G10L25/78G10L2021/02166H03G3/3005H04R3/005H04R2430/25
    • Accordingly, the present disclosure is directed to an audio capturing enhancement method and an audio capturing system using the same method. The audio capturing system includes at least but not limited to two microphones for recording an audio data, an amplifier coupled to the at least two microphones for adjusting the audio data by applying automatic gain control (AGC) in order to generate a gain adjusted data that is within a predefined level, and a processing circuit coupled to the amplifier for calculating a linear predictive coding (LPC) residue of the gain adjusted data, determining from the LPC residue a first source at a first direction relative to the at least two microphones based on time different of arrival (TDOA), and attenuating any source at a second direction that is outside of a predefined direction.
    • 因此,本公开涉及使用相同方法的音频捕获增强方法和音频捕获系统。 音频捕获系统至少包括但不限于用于记录音频数据的两个麦克风,耦合到至少两个麦克风的放大器,用于通过应用自动增益控制(AGC)来调整音频数据,以产生增益调整数据, 以及处理电路,其耦合到所述放大器,用于计算所述增益调整数据的线性预测编码(LPC)残差,从所述LPC残差确定相对于所述至少两个麦克风的第一方向上的第一源 准时到达(TDOA)不同,并且在预定方向外的第二方向衰减任何源。
    • 74. 发明授权
    • Method and device for microphone selection
    • 麦克风选择方法和设备
    • US09313573B2
    • 2016-04-12
    • US13980517
    • 2011-11-16
    • Christian SchüldtFredric Lindström
    • Christian SchüldtFredric Lindström
    • H04R3/00G10L21/02G10L21/0264G10L25/12G10L21/0216
    • H04R3/005G10L21/02G10L21/0264G10L25/12G10L2021/02166H04R2430/03
    • The present invention relates to a device, such as an audio communication device, for combining a plurality of microphone signals xn(k) into a single output signal y(k). The device comprises processing means configured to calculate control signals fn(k), and control means configured to select which microphone signal xn(k) or which combination of microphone signals xn(k) to use as output signal y(k) based on said control signals fn(k). To improve the selection, the device comprises linear prediction filters for calculating linear prediction residual signals en(k) from the plurality of microphone signals xn(k), and the processing means is configured to calculate the control signals fn(k) based on said linear prediction residual signals en(k).
    • 本发明涉及一种用于将多个麦克风信号xn(k)组合成单个输出信号y(k)的装置,诸如音频通信装置。 该装置包括被配置为计算控制信号fn(k)的处理装置和被配置为根据所述的麦克风信号xn(k)或哪个麦克风信号xn(k)的组合用作输出信号y(k)的控制装置 控制信号fn(k)。 为了改善选择,该装置包括用于从多个麦克风信号xn(k)计算线性预测残差信号en(k)的线性预测滤波器,并且处理装置被配置为基于所述多个麦克风信号计算控制信号fn(k) 线性预测残差信号en(k)。
    • 79. 发明授权
    • System and method for dialog modeling
    • 对话建模的系统和方法
    • US09129601B2
    • 2015-09-08
    • US12324340
    • 2008-11-26
    • Amanda StentSrinivas Bangalore
    • Amanda StentSrinivas Bangalore
    • G06F17/22G10L15/08G10L15/22G10L15/183G10L15/18
    • G10L15/063G06F17/22G06F17/2241G06F17/227G10L15/005G10L15/04G10L15/08G10L15/18G10L15/183G10L15/22G10L25/12G10L2015/0638
    • Disclosed herein are systems, computer-implemented methods, and computer-readable media for dialog modeling. The method includes receiving spoken dialogs annotated to indicate dialog acts and task/subtask information, parsing the spoken dialogs with a hierarchical, parse-based dialog model which operates incrementally from left to right and which only analyzes a preceding dialog context to generate parsed spoken dialogs, and constructing a functional task structure of the parsed spoken dialogs. The method can further either interpret user utterances with the functional task structure of the parsed spoken dialogs or plan system responses to user utterances with the functional task structure of the parsed spoken dialogs. The parse-based dialog model can be a shift-reduce model, a start-complete model, or a connection path model.
    • 本文公开了用于对话建模的系统,计算机实现的方法和计算机可读介质。 该方法包括接收注释以指示对话行为和任务/子任务信息的口头对话,用从层级,基于解析的对话模型解析口头对话,该对话模型从左向右逐渐操作,并且仅分析前一对话上下文以产生解析的口语对话 ,并构建解析的语音对话的功能任务结构。 该方法还可以用解析的口头对话的功能任务结构或用解析的口语对话的功能性任务结构对用户话语的计划系统响应来解释用户话语。 基于分析的对话模型可以是移位减少模型,起始完成模型或连接路径模型。