DETERMINATION OF END-TO-END TRANSPORT QUALITY
    1.
    发明申请
    DETERMINATION OF END-TO-END TRANSPORT QUALITY 审中-公开
    确定端到端运输质量

    公开(公告)号:WO2015116418A1

    公开(公告)日:2015-08-06

    申请号:PCT/US2015/011907

    申请日:2015-01-19

    CPC classification number: H04L43/0811 H04L43/00 H04L43/0864 H04L43/16

    Abstract: Methods, systems, and devices are described for assessing the quality of end-to-end connectivity for a wireless communication device. Data generated from at least one of existing traffic and networking operations caused by existing traffic of the wireless communication device may be monitored to obtain information related to connectivity quality. One or more values of one or more metrics may be determined using the obtained information. The quality of end-to-end connectivity for the wireless communication device may be assessed using the value(s) of the metric(s). Based at least in part on a result of the assessment, an action may be performed to improve connectivity quality for the wireless communication.

    Abstract translation: 描述了用于评估无线通信设备的端到端连接的质量的方法,系统和设备。 可以监视从由无线通信设备的现有业务引起的现有业务和联网操作中的至少一个产生的数据,以获得与连接质量相关的信息。 可以使用获得的信息来确定一个或多个度量的一个或多个值。 可以使用度量的值来评估无线通信设备的端到端连接的质量。 至少部分地基于评估的结果,可以执行动作以改善无线通信的连接质量。

    SUPPRESSING NOISE IN AN AUDIO SIGNAL
    2.
    发明申请
    SUPPRESSING NOISE IN AN AUDIO SIGNAL 审中-公开
    抑制音频信号中的噪声

    公开(公告)号:WO2011041738A2

    公开(公告)日:2011-04-07

    申请号:PCT/US2010/051209

    申请日:2010-10-01

    CPC classification number: G10L21/0208 G10L21/0232

    Abstract: An electronic device for suppressing noise in an audio signal is described. The electronic device includes a processor and instructions stored in memory. The electronic device receives an input audio signal and computes an overall noise estimate based on a stationary noise estimate, a non-stationary noise estimate and an excess noise estimate. The electronic device also computes an adaptive factor based on an input Signal-to-Noise Ratio (SNR) and one or more SNR limits. A set of gains is also computed using a spectral expansion gain function. The spectral expansion gain function is based on the overall noise estimate and the adaptive factor. The electronic device also applies the set of gains to the input audio signal to produce a noise-suppressed audio signal and provides the noise-suppressed audio signal.

    Abstract translation: 描述用于抑制音频信号中的噪声的电子设备。 电子设备包括处理器和存储在存储器中的指令。 电子设备接收输入音频信号并且基于稳态噪声估计,非稳态噪声估计和过量噪声估计来计算总体噪声估计。 电子设备还基于输入信噪比(SNR)和一个或多个SNR限制来计算自适应因子。 还使用频谱扩展增益函数来计算一组增益。 频谱扩展增益函数基于整体噪声估计和自适应因子。 电子设备还将该组增益应用于输入音频信号以产生噪声抑制音频信号并提供噪声抑制音频信号。

    METHODS AND APPARATUS FOR SUPPRESSING AMBIENT NOISE USING MULTIPLE AUDIO SIGNALS
    3.
    发明申请
    METHODS AND APPARATUS FOR SUPPRESSING AMBIENT NOISE USING MULTIPLE AUDIO SIGNALS 审中-公开
    使用多种音频信号抑制环境噪声的方法和装置

    公开(公告)号:WO2010068455A1

    公开(公告)日:2010-06-17

    申请号:PCT/US2009/065761

    申请日:2009-11-24

    Abstract: A method for suppressing ambient noise using multiple audio signals may include providing at least two audio signals captured by at least two electro-acoustic transducers. The at least two audio signals may include desired audio and ambient noise. The method may also include performing beamforming on the at least two audio signals in order to obtain a desired audio reference signal that is separate from a noise reference signal.

    Abstract translation: 使用多个音频信号来抑制环境噪声的方法可以包括提供由至少两个电声换能器捕获的至少两个音频信号。 至少两个音频信号可以包括期望的音频和环境噪声。 该方法还可以包括对至少两个音频信号执行波束形成,以便获得与噪声参考信号分离的所需音频参考信号。

    LIMITING ACTIVE NOISE CANCELLATION OUTPUT
    4.
    发明申请
    LIMITING ACTIVE NOISE CANCELLATION OUTPUT 审中-公开
    限制主动噪声消除输出

    公开(公告)号:WO2015057317A1

    公开(公告)日:2015-04-23

    申请号:PCT/US2014/054220

    申请日:2014-09-05

    Abstract: In general, techniques are described for limiting active noise cancellation output. As one example, an apparatus comprising one or more processors may perform the techniques. The one or more processors may be configured to, when an estimated noise level increases, dynamically lowering application of active noise cancellation to at least a portion of an audio signal to obtain at least a portion of an active noise cancelled version of the audio signal.

    Abstract translation: 通常,描述了用于限制有源噪声消除输出的技术。 作为一个示例,包括一个或多个处理器的装置可以执行这些技术。 一个或多个处理器可以被配置为当估计的噪声电平增加时,动态地降低对音频信号的至少一部分的有源噪声消除的应用,以获得音频信号的主动噪声消除版本的至少一部分。

    SIGNALING MICROPHONE COVERING TO THE USER
    5.
    发明申请
    SIGNALING MICROPHONE COVERING TO THE USER 审中-公开
    信号麦克风覆盖用户

    公开(公告)号:WO2009097407A1

    公开(公告)日:2009-08-06

    申请号:PCT/US2009/032407

    申请日:2009-01-29

    CPC classification number: H04R3/005 H04R29/004 H04R29/006 H04R2499/11

    Abstract: A mechanism is provided that monitors secondary microphone signals, in a multi-microphone mobile device, to warn the user if one or more secondary microphones are covered while the mobile device is in use. In one example, smoothly averaged power estimates of the secondary microphones may be computed and compared against the noise floor estimate of a primary microphone. Microphone covering detection may be made by comparing the secondary microphone smooth power estimates to the noise floor estimate for the primary microphone. In another example, the noise floor estimates for the primary and secondary microphone signals may be compared to the difference in the sensitivity of the first and second microphones to determine if the secondary microphone is covered. Once detection is made, a warning signal may be generated and issued to the user.

    Abstract translation: 提供了一种在多麦克风移动设备中监视次级麦克风信号的机制,以在移动设备正在使用时覆盖一个或多个辅助麦克风来警告用户。 在一个示例中,可以计算二次麦克风的平滑平均功率估计,并将其与主麦克风的噪声基底估计进行比较。 麦克风覆盖检测可以通过将次级麦克风平滑功率估计与主麦克风的噪声基底估计值进行比较来进行。 在另一示例中,可以将主麦克风信号和次麦克风信号的噪声基底估计值与第一麦克风和第二麦克风的灵敏度差进行比较,以确定次麦克风是否被覆盖。 一旦检测到,可能会产生一个警告信号并发给用户。

    AUTOMATIC VOLUME AND DYNAMIC RANGE ADJUSTMENT FOR MOBILE AUDIO DEVICES
    6.
    发明申请
    AUTOMATIC VOLUME AND DYNAMIC RANGE ADJUSTMENT FOR MOBILE AUDIO DEVICES 审中-公开
    自动音量和动态范围调整移动音频设备

    公开(公告)号:WO2008134689A1

    公开(公告)日:2008-11-06

    申请号:PCT/US2008/061947

    申请日:2008-04-30

    CPC classification number: H03G7/007 H03G3/32 H04M1/6016

    Abstract: A mobile audio device (for example, a cellular telephone, personal digital audio player, or MP3 player) performs Audio Dynamic Range Control (ADRC) (125) and Automatic Volume Control (AVC) (126) to increase the volume of sound (127) emitted from a speaker of' the mobile audio device so that faint passages of the audio will be more audible. This amplification of faint passages occurs without overly amplifying other louder passages, and without substantial distortion due to clipping. Multi-Microphone Active Noise Cancellation (MMANC) (133) functionality is, for example, used to remove background noise from audio information picked up on microphones of the mobile audio device. The noise-canceled audio may then be communicated from the device. The MMANC functionality generates a noise reference signal as an intermediate signal. The intermediate signal is conditioned and then used as a reference by the AVC process. The gain applied during the AVC process is a function of the noise reference signal.

    Abstract translation: 移动音频设备(例如,蜂窝电话,个人数字音频播放器或MP3播放器)执行音频动态范围控制(ADRC)(125)和自动音量控制(AVC)(126)以增加声音音量(127 )从“移动音频设备”的扬声器发出,使得音频的微弱通道更可听见。 这种微弱通道的放大发生,而不会过度放大其他更大的通道,并且没有由于限幅导致的实质性变形。 例如,多麦克风有源噪声消除(MMANC)(133)功能用于从移动音频设备的麦克风拾取的音频信息中去除背景噪声。 然后可以从设备传送噪声消除的音频。 MMANC功能产生噪声参考信号作为中间信号。 中间信号被调节,然后用作AVC处理的参考。 在AVC过程中应用的增益是噪声参考信号的函数。

    SPEECH ENHANCEMENT USING MULTIPLE MICROPHONES ON MULTIPLE DEVICES
    7.
    发明申请
    SPEECH ENHANCEMENT USING MULTIPLE MICROPHONES ON MULTIPLE DEVICES 审中-公开
    在多个设备上使用多个麦克风的语音增强

    公开(公告)号:WO2009117471A1

    公开(公告)日:2009-09-24

    申请号:PCT/US2009/037481

    申请日:2009-03-18

    Abstract: Signal processing solutions take advantage of microphones located on different devices and improve the quality of transmitted voice signals in a communication system. With usage of various devices such as Bluetooth headsets, wired headsets and the like in conjunction with mobile handsets, multiple microphones located on different devices are exploited for improving performance and/or voice quality in a communication system. Audio signals are recorded by microphones on different devices and processed to produce various benefits, such as improved voice quality, background noise reduction, voice activity detection and the like.

    Abstract translation: 信号处理解决方案利用位于不同设备上的麦克风,并提高通信系统中传输的语音信号的质量。 随着诸如蓝牙耳机,有线耳机等各种设备的使用,与移动手机结合使用,位于不同设备上的多个麦克风被用来改善通信系统中的性能和/或语音质量。 音频信号由不同设备上的麦克风记录,并被处理以产生各种益处,例如改进的语音质量,背景噪声降低,语音活动检测等。

    IMPROVING SOUND QUALITY BY INTELLIGENTLY SELECTING BETWEEN SIGNALS FROM A PLURALITY OF MICROPHONES
    8.
    发明申请
    IMPROVING SOUND QUALITY BY INTELLIGENTLY SELECTING BETWEEN SIGNALS FROM A PLURALITY OF MICROPHONES 审中-公开
    通过智能选择多个麦克风的信号来提高声音质量

    公开(公告)号:WO2009097417A1

    公开(公告)日:2009-08-06

    申请号:PCT/US2009/032420

    申请日:2009-01-29

    Abstract: Sound signal reception is improved by utilizing a plurality of microphones to capture sound signals which are then weighed to dynamically adjust signal quality. A first sound signal and a second sound signal are obtained from first and second microphones, respectively, where the first and second sound signals originate from one or more sound sources. A first signal characteristic (e.g., signal power, signal signal-to-noise ratio, etc.) is obtained for the first sound signal and a second signal characteristic is obtained for the second sound signal. The first and second sound signals are weighed or scaled based on their respective first and second signal characteristics. The weighed first and second sound signals are then combined to obtain an output sound signal.

    Abstract translation: 通过利用多个麦克风来捕获声音信号来改善声音信号接收,然后称重声音信号以动态地调整信号质量。 从第一和第二麦克风分别获得第一声音信号和第二声音信号,其中第一和第二声音信号源自一个或多个声源。 获得第一声音信号的第一信号特性(例如,信号功率,信号信噪比等),并且获得第二声音信号的第二信号特性。 第一和第二声音信号基于它们各自的第一和第二信号特性被称重或缩放。 然后将称重的第一和第二声音信号组合以获得输出声音信号。

    MULTIPLE MICROPHONE VOICE ACTIVITY DETECTOR
    9.
    发明申请
    MULTIPLE MICROPHONE VOICE ACTIVITY DETECTOR 审中-公开
    多媒体麦克风语音活动检测器

    公开(公告)号:WO2009042948A1

    公开(公告)日:2009-04-02

    申请号:PCT/US2008/077994

    申请日:2008-09-26

    CPC classification number: G10L25/78 G10L2021/02165

    Abstract: Voice activity detection using multiple microphones can be based on a relationship between an energy at each of a speech reference microphone and a noise reference microphone. The energy output from each of the speech reference microphone and the noise reference microphone can be determined. A speech to noise energy ratio can be determined and compared to a predetermined voice activity threshold. In another embodiment, the absolute value of the autocorrelation of the speech and noise reference signals are determined and a ratio based on autocorrelation values is determined. Ratios that exceed the predetermined threshold can indicate the presence of a voice signal. The speech and noise energies or autocorrelations can be determined using a weighted average or over a discrete frame size.

    Abstract translation: 使用多个麦克风的语音活动检测可以基于语音基准麦克风和噪声参考麦克风各自的能量之间的关系。 可以确定来自每个语音参考麦克风和噪声参考麦克风的能量输出。 可以确定语音能量比,并将其与预定的语音活动阈值进行比较。 在另一个实施例中,确定语音和噪声参考信号的自相关的绝对值,并且确定基于自相关值的比率。 超过预定阈值的比率可以指示语音信号的存在。 可以使用加权平均值或离散的帧大小来确定语音和噪声能量或自相关性。

    ENHANCEMENT TECHNIQUES FOR BLIND SOURCE SEPARATION (BSS)
    10.
    发明申请
    ENHANCEMENT TECHNIQUES FOR BLIND SOURCE SEPARATION (BSS) 审中-公开
    盲源分离(BSS)的增强技术

    公开(公告)号:WO2007130797A1

    公开(公告)日:2007-11-15

    申请号:PCT/US2007/067044

    申请日:2007-04-20

    CPC classification number: G06K9/6243 G10L21/0272

    Abstract: This disclosure describes signal processing techniques that can improve the performance of blind source separation (BSS) techniques. In particular, the described techniques propose pre-processing steps that can help to de-correlate the different signals from one another prior to execution of the BSS techniques. In addition, the described techniques also propose optional post-processing steps that can further de-correlate the different signals following execution of the BSS techniques. The techniques may be particularly useful for improving BSS performance with highly correlated audio signals, e.g., from two microphones that are in close spatial proximity to one another.

    Abstract translation: 本公开描述了可以提高盲源分离(BSS)技术的性能的信号处理技术。 特别地,所描述的技术提出了预处理步骤,其可以有助于在执行BSS技术之前将不同信号彼此相关联。 此外,所描述的技术还提出了可选的后处理步骤,其可以在执行BSS技术之后进一步使不同信号去相关。 这些技术对于通过高度相关的音频信号(例如来自彼此紧密地空间接近的两个麦克风)来改善BSS性能可能特别有用。

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