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    Signal-enhancing Beamforming in an Augmented Reality Environment
    2.
    发明申请
    Signal-enhancing Beamforming in an Augmented Reality Environment 有权
    增强现实环境中的信号增强波束形成

    公开(公告)号：US20120327115A1

    公开(公告)日：2012-12-27

    申请号：US13165620

    申请日：2011-06-21

    申请人： Amit S. Chhetri ,  Kavitha Velusamy ,  Edward Dietz Crump

    发明人： Amit S. Chhetri ,  Kavitha Velusamy ,  Edward Dietz Crump

    IPC分类号： G09G5/00

    CPC分类号： H04R3/005 ,  H04R1/406 ,  H04R2201/401 ,  H04R2201/403 ,  H04R2430/20 ,  H04R2430/21

    摘要： An augmented reality environment allows interaction between virtual and real objects. Beamforming techniques are applied to signals acquired by an array of microphones to allow for simultaneous spatial tracking and signal acquisition from multiple users. Localization information such as from other sensors in the environment may be used to select a particular set of beamformer coefficients and resulting beampattern focused on a signal source. Alternately, a series of beampatterns may be used iteratively to localize the signal source in a computationally efficient fashion. The beamformer coefficients may be pre-computed.

    摘要翻译： 增强的现实环境允许虚拟和实际对象之间的交互。 波束形成技术应用于由麦克风阵列获取的信号，以允许来自多个用户的同时空间跟踪和信号采集。 可以使用诸如来自环境中的其他传感器的定位信息来选择波束形成器系数的特定集合，并且将聚焦在信号源上的所得到的波形图进行选择。 或者，可以迭代地使用一系列波形图来以计算有效的方式定位信号源。 波束形成系数可以被预先计算。

    Null-forming techniques to improve acoustic echo cancellation
    3.
    发明授权
    Null-forming techniques to improve acoustic echo cancellation 有权
    用于改善声学回声消除的零成形技术

    公开(公告)号：US08885815B1

    公开(公告)日：2014-11-11

    申请号：US13532570

    申请日：2012-06-25

    申请人： Kavitha Velusamy ,  Amit S. Chhetri ,  Ramya Gopalan ,  Wai C. Chu ,  Wei Li

    发明人： Kavitha Velusamy ,  Amit S. Chhetri ,  Ramya Gopalan ,  Wai C. Chu ,  Wei Li

    IPC分类号： H04M9/08 ,  H04R3/02 ,  G10L21/0216

    CPC分类号： H04R3/02 ,  G01S3/80 ,  G10L21/0208 ,  G10L2021/02166 ,  H04M9/08 ,  H04M9/082 ,  H04R3/005

    摘要： A plurality of microphones of a communication device is grouped into multiple microphone groups, such that each microphone group includes two or more microphones. For each microphone group, output of the corresponding microphones is processed to form an acoustic null in a corresponding spatial direction, such that sound from the corresponding spatial direction is attenuated in the processed output. One of the microphone groups is selected based on various factors leading to maximal echo attenuation and rejection of reverberant components of the room. The selected microphone group is then used to detect sound from a near end talker of the communication device.

    摘要翻译： 通信设备的多个麦克风被分组成多个麦克风组，使得每个麦克风组包括两个或更多麦克风。 对于每个麦克风组，相应麦克风的输出被处理以在相应的空间方向上形成声音零点，使得来自对应的空间方向的声音在经处理的输出中衰减。 麦克风组中的一个是基于导致最大回波衰减和拒绝房间混响分量的各种因素来选择的。 所选择的麦克风组然后用于检测来自通信设备的近端讲话者的声音。

    Acoustic echo cancellation processing based on feedback from speech recognizer
    4.
    发明授权
    Acoustic echo cancellation processing based on feedback from speech recognizer 有权
    基于来自语音识别器的反馈的声学回声消除处理

    公开(公告)号：US09373338B1

    公开(公告)日：2016-06-21

    申请号：US13532649

    申请日：2012-06-25

    申请人： Ramya Gopalan ,  Kavitha Velusamy ,  Wai C. Chu ,  Amit S. Chhetri

    发明人： Ramya Gopalan ,  Kavitha Velusamy ,  Wai C. Chu ,  Amit S. Chhetri

    IPC分类号： G10L21/02

    CPC分类号： G10L21/02 ,  G10L15/22 ,  G10L15/26 ,  H04M9/082

    摘要： An automatic speech recognition engine receives an acoustic-echo processed signal from an acoustic-echo processing (AEP) module, where said echo processed signal contains mainly the speech from the near-end talker. The automatic speech recognition engine analyzes the content of the acoustic-echo processed signal to determine whether words or keywords are present. Based upon the results of this analysis, the automatic speech recognition engine produces a value reflecting the likelihood that some words or keywords are detected. Said value is provided to the AEP module. Based upon the value, the AEP module determines if there is double talk and processes the incoming signals accordingly to enhance its performance.

    摘要翻译： 自动语音识别引擎从声学回波处理（AEP）模块接收声学回波处理的信号，其中所述回波处理的信号主要包含来自近端讲话者的语音。 自动语音识别引擎分析声回波处理信号的内容，以确定是否存在词或关键词。 基于该分析的结果，自动语音识别引擎产生反映检测到某些单词或关键词的可能性的值。 所述值被提供给AEP模块。 基于该值，AEP模块确定是否存在双重通话，并相应地处理输入信号以增强其性能。

    Acoustic echo cancellation using blind source separation
    6.
    发明授权
    Acoustic echo cancellation using blind source separation 有权
    使用盲源分离的声回波消除

    公开(公告)号：US08855295B1

    公开(公告)日：2014-10-07

    申请号：US13532617

    申请日：2012-06-25

    申请人： Amit S. Chhetri ,  Kavitha Velusamy ,  Wai C. Chu ,  Ramya Gopalan

    发明人： Amit S. Chhetri ,  Kavitha Velusamy ,  Wai C. Chu ,  Ramya Gopalan

    IPC分类号： H04M9/08 ,  G10K11/00

    CPC分类号： H04M9/082 ,  G10L21/0272

    摘要： Techniques for utilizing blind source separation as a front-end to an acoustic echo canceller are described herein. The techniques include removing a first portion of an acoustic echo from an audio signal using blind source separation and a reference signal. The techniques then further remove a second portion of the acoustic echo using an acoustic echo canceller and the reference signal. Further, output of the blind source separation may be used to improve double-talk detection.

    摘要翻译： 本文描述了将盲源分离用作声学回声消除器的前端的技术。 这些技术包括使用盲源分离和参考信号从音频信号中去除声学回声的第一部分。 然后，技术使用声学回声消除器和参考信号进一步去除声学回声的第二部分。 此外，盲源分离的输出可以用于改善双方通话检测。