Techniques for analyzing connectivity within an audio transducer array

    公开(公告)号:US10771907B2

    公开(公告)日:2020-09-08

    申请号:US14567646

    申请日:2014-12-11

    Abstract: An array of audio transducers includes an optical emitter, for example, and without limitation, a light emitting diode (LED), associated with each transducer. Simultaneous stimulation of all transducers illuminates all LED's. An imager then creates a map of the transducer array. Stimulation of a single transducer, illuminating the associated LED, creates an optical signature that imaging software uses to determine the position of the transducer within the array. The system then verifies the correspondence between each transducer and the associated driver amplifier by sequential stimulation of each transducer within the array. The system may vary the frequency of the stimulation applied to transducers that include filtering networks, known as crossovers, to validate performance. Further, the system may compute the angles between transducer assemblies that may be deployed in non-planar configurations, thus ensuring that the installation is constructed to specifications.

    AUTOMATIC SOUND EQUALIZATION DEVICE
    3.
    发明申请
    AUTOMATIC SOUND EQUALIZATION DEVICE 有权
    自动声音均衡装置

    公开(公告)号:US20160112022A1

    公开(公告)日:2016-04-21

    申请号:US14918239

    申请日:2015-10-20

    Abstract: A technique for determining one or more equalization parameters includes acquiring, via one or more electrodes, auditory brainstem response (ABR) data associated with a first audio sample and determining, via a processor, one or more equalization parameters based on the ABR data. The technique further includes reproducing a second audio sample based on the one or more equalization parameters, acquiring, via the one or more electrodes, complex auditory brainstem response (cABR) data associated with the second audio sample, and comparing, via the processor, the cABR data to at least one representation of the second audio sample to determine at least one measure of similarity. The technique further includes modifying the one or more equalization parameters based on the at least one measure of similarity.

    Abstract translation: 用于确定一个或多个均衡参数的技术包括经由一个或多个电极获取与第一音频样本相关联的听觉脑干响应(ABR)数据,并且经由处理器基于所述ABR数据来确定一个或多个均衡参数。 该技术还包括基于一个或多个均衡参数再现第二音频样本,经由一个或多个电极获取与第二音频样本相关联的复合听觉脑干响应(cABR)数据,并且经由处理器比较 cABR数据到第二音频样本的至少一个表示以确定至少一个相似度量度。 该技术还包括基于至少一种相似度测量修改一个或多个均衡参数。

    ACTIVE NOISE-CONTROL SYSTEM WITH SOURCE-SEPARATED REFERENCE SIGNAL

    公开(公告)号:US20170193975A1

    公开(公告)日:2017-07-06

    申请号:US14986527

    申请日:2015-12-31

    Abstract: The various embodiments set forth an active noise cancellation system that includes a source separation algorithm. The source separation algorithm enables the identification of acoustic inputs from a particular sound source based on a reference signal generated with one or more microphones. Consequently, the identified acoustic inputs can be cancelled or damped in a targeted listening location via an acoustic correction signal, where the acoustic correction signal is generated based on a sound source separated from the reference signal. Advantageously, the reference signal can be generated with a microphone, even though such a reference signal may include a combination of multiple acoustic inputs. Thus, noise sources that cannot be individually measured, for example with an accelerometer mounted to a vibrating structure, can still be identified and actively cancelled.

    Active noise-control system with source-separated reference signal

    公开(公告)号:US09959859B2

    公开(公告)日:2018-05-01

    申请号:US14986527

    申请日:2015-12-31

    Abstract: The various embodiments set forth an active noise cancellation system that includes a source separation algorithm. The source separation algorithm enables the identification of acoustic inputs from a particular sound source based on a reference signal generated with one or more microphones. Consequently, the identified acoustic inputs can be cancelled or damped in a targeted listening location via an acoustic correction signal, where the acoustic correction signal is generated based on a sound source separated from the reference signal. Advantageously, the reference signal can be generated with a microphone, even though such a reference signal may include a combination of multiple acoustic inputs. Thus, noise sources that cannot be individually measured, for example with an accelerometer mounted to a vibrating structure, can still be identified and actively cancelled.

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