ESTIMATION OF AUDIO DEVICE AND SOUND SOURCE LOCATIONS

    公开(公告)号:US20250008262A1

    公开(公告)日:2025-01-02

    申请号:US18708735

    申请日:2022-11-07

    Abstract: Some disclosed methods involve receiving, by a control system, location control data from a sound source as the sound source emits sound in a plurality of sound source locations within an audio environment. Some such methods involve receiving, by the control system, direction of arrival data from each audio device of a plurality of audio devices in the audio environment. In some examples, each audio device of the plurality of audio devices includes a microphone array and the direction of arrival data corresponding to microphone signals from microphone arrays responsive to sound emitted by the sound source in the plurality of sound source locations. Some such methods involve estimating, by the control system, sound source locations and audio device locations based, at least in part, on the location control data and the direction of arrival data.

    ACOUSTIC ZONING WITH DISTRIBUTED MICROPHONES

    公开(公告)号:US20220335937A1

    公开(公告)日:2022-10-20

    申请号:US17630895

    申请日:2020-07-28

    Abstract: A method for estimating a user's location in an environment may involve receiving output signals from each microphone of a plurality of microphones in the environment. At least two microphones of the plurality of microphones may be included in separate devices at separate locations in the environment and the output signals may correspond to a current utterance of a user. The method may involve determining multiple current acoustic features from the output signals of each microphone and applying a classifier to the multiple current acoustic features. Applying the classifier may involve applying a model trained on previously-determined acoustic features derived from a plurality of previous utterances made by the user in a plurality of user zones in the environment. The method may involve determining, based at least in part on output from the classifier, an estimate of the user zone in which the user is currently located.

    METHODS AND DEVICES FOR BASS MANAGEMENT

    公开(公告)号:US20210345060A1

    公开(公告)日:2021-11-04

    申请号:US17286313

    申请日:2019-10-14

    Abstract: Some disclosed methods involve multi-band bass management. Some such examples may involve applying multiple high-pass and low-pass filter frequencies for the purpose of bass input management. Some disclosed methods treat at least some low-frequency signals as audio objects that can be panned. Some disclosed methods involve panning low and high frequencies separately. Following high-pass rendering, a power audit may determine a low-frequency deficit factor that is to be reproduced by subwoofers or other low-frequency-capable loudspeakers.

    METHOD AND APPARATUS FOR PROCESSING SIGNALS OF A SPHERICAL MICROPHONE ARRAY ON A RIGID SPHERE USED FOR GENERATING AN AMBISONICS REPRESENTATION OF THE SOUND FIELD
    4.
    发明申请
    METHOD AND APPARATUS FOR PROCESSING SIGNALS OF A SPHERICAL MICROPHONE ARRAY ON A RIGID SPHERE USED FOR GENERATING AN AMBISONICS REPRESENTATION OF THE SOUND FIELD 有权
    用于处理用于产生声场的代表性的刚性球囊上的球形麦克风阵列的信号的方法和装置

    公开(公告)号:US20170070840A1

    公开(公告)日:2017-03-09

    申请号:US15357810

    申请日:2016-11-21

    Abstract: Spherical microphone arrays capture a three-dimensional sound field (P(Ωc, t)) for generating an Ambisonics representation (Anm(t)), where the pressure distribution on the surface of the sphere is sampled by the capsules of the array. The impact of the microphones on the captured sound field is removed using the inverse microphone transfer function. The equalisation of the transfer function of the microphone array is a big problem because the reciprocal of the transfer function causes high gains for small values in the transfer function and these small values are affected by transducer noise. The invention minimises that noise by using a Wiener filter processing in the frequency domain, which processing is automatically controlled per wave number by the signal-to-noise ratio of the microphone array.

    Abstract translation: 球形麦克风阵列捕获用于产生Ambisonics表示(Anm(t))的三维声场(P(Ωc,t)),其中球体表面上的压力分布由阵列的胶囊取样。 使用反向麦克风传递功能可以消除麦克风对拍摄声场的影响。 麦克风阵列的传递函数的均衡是一个大问题,因为传递函数的倒数对传递函数中的小值造成高增益,这些小值受传感器噪声的影响。 本发明通过使用频域中的维纳滤波处理来最小化噪声,该处理根据麦克风阵列的信噪比自动控制每波数。

    ACOUSTIC ZONING WITH DISTRIBUTED MICROPHONES

    公开(公告)号:US20250022465A1

    公开(公告)日:2025-01-16

    申请号:US18901697

    申请日:2024-09-30

    Abstract: A method for estimating a user's location in an environment may involve receiving output signals from each microphone of a plurality of microphones in the environment. At least two microphones of the plurality of microphones may be included in separate devices at separate locations in the environment and the output signals may correspond to a current utterance of a user. The method may involve determining multiple current acoustic features from the output signals of each microphone and applying a classifier to the multiple current acoustic features. Applying the classifier may involve applying a model trained on previously-determined acoustic features derived from a plurality of previous utterances made by the user in a plurality of user zones in the environment. The method may involve determining, based at least in part on output from the classifier, an estimate of the user zone in which the user is currently located.

    MULTI-DEVICE WAKEWORD DETECTION
    6.
    发明申请

    公开(公告)号:US20220351724A1

    公开(公告)日:2022-11-03

    申请号:US17626619

    申请日:2020-07-29

    Abstract: A method for selecting a device for audio processing may involve receiving a first wakeword confidence metric from a first device that includes at least a first microphone and receiving a second wakeword confidence metric from a second device that includes at least a second microphone. The first and second wakeword confidence metrics may correspond to a first local maximum of a first plurality of wakeword confidence values determined by the first device and a second local maximum of a second plurality of wakeword confidence values determined by the second device. The method may involve comparing the first wakeword confidence metric and the second wakeword confidence metric and selecting a device for subsequent audio processing based, at least in part, on a comparison of the first wakeword confidence metric and the second wakeword confidence metric.

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