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.

A noise reduction device includes a second corrector that generates a correction signal by correcting an output signal or a standard signal by a predetermined parameter and adds the generated correction signal to an error signal, to generate a corrected error signal approximating the error signal to an error signal indicating a residual sound occurring in a sound reception location.

An active noise cancellation device includes a first input for receiving a microphone signal from the microphone, a first electrical compensation path and a second electrical compensation path being coupled in parallel between a first node and the first input to provide a first noise canceling signal for a feed-backward prediction of a noise source, a third electrical compensation path and a fourth electrical compensation path being coupled in parallel between a second node and the first input to provide a second noise canceling signal for a feed-forward prediction of the noise source.

A control apparatus, that can expand a range in which noise generated in an unmanned flying object is reduced, is provided. The control apparatus acquires position information of one or more unmanned flying objects and noise information concerning first noises generated by the one or more unmanned flying objects. The control apparatus also acquires output region information indicating an output region of sound output from a speaker. The control apparatus calculates, using the position information, the output region information, and the noise information, second noises that reach the output region. The second noises are caused by the first noises which are generated by the one or more unmanned flying objects. The control apparatus generates opposite phase signals for outputting opposite phase sounds with respect to the calculated second noises, and causes the speaker to output sound on a basis of the generated opposite phase signals.

Systems and methods for ambient noise mitigation as a network service are provided. In some embodiments, an ambient noise mitigation server establishes at least one low latency network slice for at least one UE coupled to a radio access network. The ambient noise mitigation server generates a cancelation signal based on ambient sound mitigation data received by the radio access network, the ambient sound mitigation data including acoustic sensor data representing an ambient sound signal. The cancelation signal is generated to comprise a phase shift with respect to the ambient sound signal computed at least in part as a function of a location of the at least one UE, and causes at least one acoustic emitter to emit an acoustic cancelation signal based on the cancelation signal. In some embodiments, the phase shift may be adjusted by controlling a latency characteristic of the low latency network slice.

Methods and apparatus are provided for controlling noise in a cabin of a vehicle. In various embodiments, a method for controlling noise in a cabin of a vehicle includes measuring a first sound via a microphone in the cabin; obtaining a second sound from a loudspeaker of the cabin; estimating, via a processor, a third sound at a virtual location that is remote from both the microphone and the loudspeaker, using the first sound, the second sound, and one or more transfer functions; and applying active noise cancellation for the cabin based on the third sound at the virtual location.

An active noise cancellation device for cancelling a primary acoustic path between a noise source and a microphone by an overlying secondary acoustic path between a canceling loudspeaker and the microphone, the device comprising: a first input for receiving a microphone signal from the microphone; wherein the first electrical compensation path and the second electrical compensation path are coupled in parallel between a first node and the first input to provide the first noise canceling signal for a feed-backward prediction of the noise source; wherein the third electrical compensation path and the fourth electrical compensation path are coupled in parallel between a second node and the first input to provide the second noise canceling signal for a feed-forward prediction of noise source.

Systems and methods operate to automatically adjust features and modes of operation for personal electronic devices, to control the level of immersion (or conversely, presence) experienced by a user of the device, relative to the user's ambient environment and/or virtual communications from systems other than the immersive device, such as notifications or bot communications. Thus, users of electronic devices may still make themselves available for interaction with other individuals and devices around them, even while using technologies that may otherwise be immersive and isolating.

Embodiments of the present disclosure disclose an earphone including a fixing structure, a first microphone array, a processor, and a speaker. The fixing structure is configured to fix the earphone near a user's ear without blocking the user's ear canal and including a hook-shaped component and a body part. The first microphone array is located in the body part and is configured to pick up environmental noise. The processor is located in the hook-shaped component or the body part and is configured to estimate a sound field at a target spatial position using the first microphone array and generate a noise reduction signal based on the estimated sound field. The target spatial position is closer to the user's ear canal than any microphone in the first microphone array. The speaker is located in the body part and is configured to output a target signal according to the noise reduction signal.

An audio transmission is received by a participant computing device. The participant computing device is one of a plurality of participant computing devices of a participant cohort that are co-located. Matched filters are generated based on the transmission that are configured to predict at least a portion of audio caused by playback of the transmitted audio signal. Each of the matched filters includes coefficients. An audio signal is captured with an audio capture device. The captured audio signal corresponds to audio produced by playback of the transmitted audio signal with audio output devices of devices of the participant cohort. A matched filter is identified that most accurately predicts the audio signal. A delay estimate is generated based on a predictive contribution of one of the coefficients of the matched filter.