Abstract: For example, a controller of an Active Acoustic Control (AAC) system may be configured to process input information including AAC configuration information, and a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations. For example, the controller may be configured to process the input information to determine a sound control pattern to control sound within a sound control zone based on the plurality of noise inputs. For example, the controller may include a Neural-Network (NN) trained to generate an NN output based on an NN input, wherein the NN input is based on the AAC configuration information. For example, the controller may be configured to generate the sound control pattern based on the NN output, and to output the sound control pattern to one or more acoustic transducers.

Abstract: For example, an apparatus may include an input to receive input information including a Heating, Ventilation and Air Conditioning (HVAC) input including HVAC configuration information corresponding to a configuration of an operation of an HVAC system of a vehicle; a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations; and a plurality of residual-noise inputs representing acoustic residual-noise at a plurality of residual-noise sensing locations within at least one sound control zone in the vehicle; a controller configured to determine a sound control pattern to control sound within the at least one sound control zone in the vehicle, the controller configured to determine the sound control pattern based on the HVAC input, the plurality of noise inputs and the plurality of residual-noise inputs; and an output to output the sound control pattern to a plurality of acoustic transducers.

Abstract: For example, a controller of an Active Acoustic Control (AAC) system may be configured to process input information including AAC configuration information, and a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations. For example, the controller may be configured to process the input information to determine a sound control pattern to control sound within a sound control zone based on the plurality of noise inputs. For example, the controller may include a Neural-Network (NN) trained to generate an NN output based on an NN input, wherein the NN input is based on the AAC configuration information. For example, the controller may be configured to generate the sound control pattern based on the NN output, and to output the sound control pattern to one or more acoustic transducers.

Abstract: For example, an apparatus may include an input to receive input information including a Heating, Ventilation and Air Conditioning (HVAC) input including HVAC configuration information corresponding to a configuration of an operation of an HVAC system of a vehicle; a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations; and a plurality of residual-noise inputs representing acoustic residual-noise at a plurality of residual-noise sensing locations within at least one sound control zone in the vehicle; a controller configured to determine a sound control pattern to control sound within the at least one sound control zone in the vehicle, the controller configured to determine the sound control pattern based on the HVAC input, the plurality of noise inputs and the plurality of residual-noise inputs; and an output to output the sound control pattern to a plurality of acoustic transducers.

Abstract: For example, a controller of an Active Acoustic Control (AAC) system may be configured to process input information, the input information including AAC configuration information corresponding to a configuration of AAC in a sound control zone; a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations; and a plurality of residual-noise inputs representing acoustic residual-noise at a plurality of residual-noise sensing locations within the sound control zone. For example, the controller may determine a sound control pattern to control sound within the sound control zone based on the AAC configuration information, the plurality of noise inputs, and the plurality of residual-noise inputs. For example, the controller may output the sound control pattern to a plurality of acoustic transducers.

Abstract: For example, an Acoustic Feedback (AFB) mitigator may mitigate AFB between at least one acoustic transducer and at least one acoustic sensor. For example, the AFB mitigator may include a first filter to generate a first filtered signal by filtering a first input signal, the first input signal nay be based on a transducer acoustic pattern to be output by the acoustic transducer; and a second filter to generate a second filtered signal by filtering the first input signal, wherein the second filter may include an adaptive filter, which may be adapted based on a difference between an AFB-mitigated signal and the second filtered signal. For example, the AFB-mitigated signal may be based on a difference between a second input signal and the first filtered signal, the second input signal based on a sensor acoustic pattern sensed by the acoustic sensor.

Abstract: For example, a controller of an Active Acoustic Control (AAC) system may be configured to process input information including AAC configuration information, and a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations. For example, the controller may be configured to process the input information to determine a sound control pattern to control sound within a sound control zone based on the plurality of noise inputs. For example, the controller may include a Neural-Network (NN) trained to generate an NN output based on an NN input, wherein the NN input is based on the AAC configuration information. For example, the controller may be configured to generate the sound control pattern based on the NN output, and to output the sound control pattern to one or more acoustic transducers.

Abstract: Some demonstrative embodiments include apparatuses, systems and methods of sound control. For example, an apparatus may be configured to process one or more audio inputs to be heard in one or more personal sound zones, and a plurality of monitoring inputs, wherein the plurality of monitoring inputs represent acoustic sound at a plurality of predefined monitoring sensing locations, which are defined within the one or more personal sound zones; determine a sound control pattern based on the one or more audio inputs, and the plurality of monitoring inputs, the sound control pattern comprising a plurality of sound control signals configured to drive a respective plurality of acoustic transducers such that the one or more audio inputs are to be heard in the one or more personal sound zones; and output the plurality of sound control signals to the plurality of acoustic transducers.

Abstract: For example, a controller of an Active Acoustic Control (AAC) system may be configured to process input information, the input information including AAC configuration information corresponding to a configuration of AAC in a sound control zone; a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations; and a plurality of residual-noise inputs representing acoustic residual-noise at a plurality of residual-noise sensing locations within the sound control zone. For example, the controller may determine a sound control pattern to control sound within the sound control zone based on the AAC configuration information, the plurality of noise inputs, and the plurality of residual-noise inputs. For example, the controller may output the sound control pattern to a plurality of acoustic transducers.

Abstract: For example, an Acoustic Feedback (AFB) mitigator may mitigate AFB between at least one acoustic transducer and at least one acoustic sensor. For example, the AFB mitigator may include a first filter to generate a first filtered signal by filtering a first input signal, the first input signal nay be based on a transducer acoustic pattern to be output by the acoustic transducer; and a second filter to generate a second filtered signal by filtering the first input signal, wherein the second filter may include an adaptive filter, which may be adapted based on a difference between an AFB-mitigated signal and the second filtered signal. For example, the AFB-mitigated signal may be based on a difference between a second input signal and the first filtered signal, the second input signal based on a sensor acoustic pattern sensed by the acoustic sensor.

Abstract: Some demonstrative embodiments include apparatuses, systems and methods of sound control. For example, an apparatus may be configured to process one or more audio inputs to be heard in one or more personal sound zones, and a plurality of monitoring inputs, wherein the plurality of monitoring inputs represent acoustic sound at a plurality of predefined monitoring sensing locations, which are defined within the one or more personal sound zones; determine a sound control pattern based on the one or more audio inputs, and the plurality of monitoring inputs, the sound control pattern comprising a plurality of sound control signals configured to drive a respective plurality of acoustic transducers such that the one or more audio inputs are to be heard in the one or more personal sound zones; and output the plurality of sound control signals to the plurality of acoustic transducers.

Abstract: For example, an Acoustic Feedback (AFB) mitigator may mitigate AFB between at least one acoustic transducer and at least one acoustic sensor. For example, the AFB mitigator may include a first filter to generate a first filtered signal by filtering a first input signal, the first input signal nay be based on a transducer acoustic pattern to be output by the acoustic transducer; and a second filter to generate a second filtered signal by filtering the first input signal, wherein the second filter may include an adaptive filter, which may be adapted based on a difference between an AFB-mitigated signal and the second filtered signal. For example, the AFB-mitigated signal may be based on a difference between a second input signal and the first filtered signal, the second input signal based on a sensor acoustic pattern sensed by the acoustic sensor.

Abstract: For example, an apparatus for Active Acoustic Control (AAC) of an open acoustic headphone may include an input to receive input information including a residual-noise input including residual-noise information corresponding to a residual noise sensor of the open acoustic headphone, and a noise input including noise information corresponding to a noise sensor of the open acoustic headphone; a controller configured to determine a sound control pattern configured for AAC of the open acoustic headphone, the controller configured to identify a mounting-based parameter of the open acoustic headphone based on the input information, and to determine the sound control pattern based on the mounting-based parameter, the residual-noise input, and the noise input; and an output to output the sound control pattern to an acoustic transducer of the open acoustic headphone.

Abstract: For example, a controller of an Active Acoustic Control (AAC) system may be configured to process input information, the input information including AAC configuration information corresponding to a configuration of AAC in a sound control zone; a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations; and a plurality of residual-noise inputs representing acoustic residual-noise at a plurality of residual-noise sensing locations within the sound control zone. For example, the controller may determine a sound control pattern to control sound within the sound control zone based on the AAC configuration information, the plurality of noise inputs, and the plurality of residual-noise inputs. For example, the controller may output the sound control pattern to a plurality of acoustic transducers.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of testing an acoustic device, an acoustic component, and/or a device or system including one or more acoustic devices. For example, an acoustic device tester may be configured to process input acoustic information of a tested acoustic device to determine a tested acoustic value distribution for the tested acoustic device in a plurality of frequency sub-bands; determine whether or not the tested acoustic device meets a predefined testing criterion based on the tested acoustic value distribution and a reference profile defining a plurality of reference values corresponding to the plurality of frequency sub-bands, respectively; and generate an output to indicate whether or not the tested acoustic device meets the predefined testing criterion.

Abstract: For example, an apparatus for Active Acoustic Control (AAC) of an open acoustic headphone may include an input to receive input information including a residual-noise input including residual-noise information corresponding to a residual noise sensor of the open acoustic headphone, and a noise input including noise information corresponding to a noise sensor of the open acoustic headphone; a controller configured to determine a sound control pattern configured for AAC of the open acoustic headphone, the controller configured to identify a mounting-based parameter of the open acoustic headphone based on the input information, and to determine the sound control pattern based on the mounting-based parameter, the residual-noise input, and the noise input; and an output to output the sound control pattern to an acoustic transducer of the open acoustic headphone.

Abstract: Some demonstrative embodiments include apparatuses, systems and methods of sound control. For example, an apparatus may be configured to process one or more audio inputs to be heard in one or more personal sound zones, and a plurality of monitoring inputs, wherein the plurality of monitoring inputs represent acoustic sound at a plurality of predefined monitoring sensing locations, which are defined within the one or more personal sound zones; determine a sound control pattern based on the one or more audio inputs, and the plurality of monitoring inputs, the sound control pattern comprising a plurality of sound control signals configured to drive a respective plurality of acoustic transducers such that the one or more audio inputs are to be heard in the one or more personal sound zones; and output the plurality of sound control signals to the plurality of acoustic transducers.

Abstract: Some demonstrative embodiments include apparatuses, systems and methods of sound control. For example, an apparatus may be configured to process one or more audio inputs to be heard in one or more personal sound zones, and a plurality of monitoring inputs, wherein the plurality of monitoring inputs represent acoustic sound at a plurality of predefined monitoring sensing locations, which are defined within the one or more personal sound zones; determine a sound control pattern based on the one or more audio inputs, and the plurality of monitoring inputs, the sound control pattern comprising a plurality of sound control signals configured to drive a respective plurality of acoustic transducers such that the one or more audio inputs are to be heard in the one or more personal sound zones; and output the plurality of sound control signals to the plurality of acoustic transducers.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of testing an acoustic device, an acoustic component, and/or a device or system including one or more acoustic devices. For example, an acoustic device tester may be configured to process input acoustic information of a tested acoustic device to determine a tested acoustic value distribution for the tested acoustic device in a plurality of frequency sub-bands; determine whether or not the tested acoustic device meets a predefined testing criterion based on the tested acoustic value distribution and a reference profile defining a plurality of reference values corresponding to the plurality of frequency sub-bands, respectively; and generate an output to indicate whether or not the tested acoustic device meets the predefined testing criterion.

Abstract: Some demonstrative embodiments include apparatuses, systems and methods of sound control. For example, an apparatus may be configured to process one or more audio inputs to be heard in one or more personal sound zones, and a plurality of monitoring inputs, wherein the plurality of monitoring inputs represent acoustic sound at a plurality of predefined monitoring sensing locations, which are defined within the one or more personal sound zones; determine a sound control pattern based on the one or more audio inputs, and the plurality of monitoring inputs, the sound control pattern comprising a plurality of sound control signals configured to drive a respective plurality of acoustic transducers such that the one or more audio inputs are to be heard in the one or more personal sound zones; and output the plurality of sound control signals to the plurality of acoustic transducers.