Hierarchical decorrelation of multichannel audio

    公开(公告)号:US10141000B2

    公开(公告)日:2018-11-27

    申请号:US15182751

    申请日:2016-06-15

    Applicant: GOOGLE INC.

    Abstract: Provided are methods, systems, and apparatus for hierarchical decorrelation of multichannel audio. A hierarchical decorrelation algorithm is designed to adapt to possibly changing characteristics of an input signal, and also preserves the energy of the original signal. The algorithm is invertible in that the original signal can be retrieved if needed. Furthermore, the proposed algorithm decomposes the decorrelation process into multiple low-complexity steps. The contribution of these steps is generally in a decreasing order, and thus the complexity of the algorithm can be scaled.

    BLIND SOURCE SEPARATION USING SIMILARITY MEASURE

    公开(公告)号:US20180182412A1

    公开(公告)日:2018-06-28

    申请号:US15412812

    申请日:2017-01-23

    Applicant: Google Inc.

    Abstract: A method includes: receiving time instants of audio signals generated by a set of microphones at a location; determining a distortion measure between frequency components of at least some of the received audio signals; determining a similarity measure for the frequency components using the determined distortion measure; and processing the audio signals based on the determined similarity measure.

    Methods and systems for robust beamforming
    8.
    发明授权
    Methods and systems for robust beamforming 有权
    鲁棒波束成形的方法和系统

    公开(公告)号:US09502021B1

    公开(公告)日:2016-11-22

    申请号:US14510838

    申请日:2014-10-09

    Applicant: GOOGLE INC.

    CPC classification number: G10K11/348 G10L21/0216 G10L21/0316 G10L2021/02166

    Abstract: Provided are methods and systems for spatially selecting acoustic sources using a post-processor that consists of a selection of one postfilter from a set of postfilters, or a cascade of postfilters, where each postfilter is optimal for a particular scenario. Each postfilter individually is based on optimizing the gain for each time-frequency bin based on knowledge of (i) a spatial covariance matrix for the desired source, (ii) a spatial covariance matrix for the interfering sources, and (iii) microphone signals in some neighborhood of the current time-frequency bin.

    Abstract translation: 提供了使用后处理器来空间选择声源的方法和系统,后处理器由一组后置滤波器的选择一个后滤波器或后置滤波器级联组成,其中每个后滤波器对于特定情景是最佳的。 每个后置滤波器单独地基于基于(i)所需源的空间协方差矩阵,(ii)干扰源的空间协方差矩阵的知识来优化每个时间频率仓的增益,以及(iii)麦克风信号 当前时区的一些邻域。

    Blind source separation using similarity measure

    公开(公告)号:US10770091B2

    公开(公告)日:2020-09-08

    申请号:US15412812

    申请日:2017-01-23

    Applicant: Google Inc.

    Abstract: A method includes: receiving time instants of audio signals generated by a set of microphones at a location; determining a distortion measure between frequency components of at least some of the received audio signals; determining a similarity measure for the frequency components using the determined distortion measure; and processing the audio signals based on the determined similarity measure.

    Microphone autolocalization using moving acoustic source
    10.
    发明授权
    Microphone autolocalization using moving acoustic source 有权
    使用移动声源的麦克风自动定位

    公开(公告)号:US09488716B2

    公开(公告)日:2016-11-08

    申请号:US14145196

    申请日:2013-12-31

    Applicant: GOOGLE INC.

    CPC classification number: G01S5/18 G01S5/30

    Abstract: Provided are methods and systems for calibrating a distributed sensor (e.g., microphone) array using time-of-flight (TOF) measurements for a plurality of spatially distributed acoustic events at the sensors. The calibration includes localization and gain equalization of the sensors. Accurate measurements of TOFs are obtained from spatially distributed acoustic events using a controlled signal emitted at known intervals by a moving acoustic source. A portable user device capable of playing out audio is used to produce a plurality of acoustic events (e.g., sound clicks) at known intervals of time and at different, but arbitrary locations based on the device being moved around in space by a user while producing the acoustic events. As such, the times of the acoustic event generation are known, and are spatially diverse. The calibration signals emitted by the acoustic source are designed to provide robustness to noise and reverberation.

    Abstract translation: 提供了使用在传感器处的多个空间分布的声学事件的飞行时间(TOF)测量来校准分布式传感器(例如,麦克风)阵列的方法和系统。 校准包括传感器的定位和增益均衡。 使用由移动声源以已知间隔发射的受控信号从空间分布的声学事件获得TOF的精确测量。 使用能够播放音频的便携式用户装置在已知的时间间隔和在不同的但任意的位置上产生多个声音事件(例如,声音点击),这是基于用户在空间中移动的装置,同时产生 声学事件。 因此,声学事件发生的时代是已知的,并且在空间上是多样的。 由声源发出的校准信号被设计成提供对噪声和混响的鲁棒性。

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