An example method of operation may include initializing a microphone array in a defined space to receive one or more sound instances based on a preliminary beamform tracking configuration, detecting the one or more sound instances within the defined space via the microphone array, modifying the preliminary beamform tracking configuration, based on a location of the one or more sound instances, to create a modified beamform tracking configuration, and saving the modified beamform tracking configuration in a memory of a microphone array controller.

An information processing method includes, in response to determining that an application is in a video mode, acquiring a video image in real time through a camera group of an electronic device and acquiring a video sound in real time through a microphone group of the electronic device; displaying the video image; mapping an audio manipulation area that includes an operation response area of a sound source in an acquisition area of the camera group; obtaining an input operation for the operation response area; and, in response to the input operation, adjusting a sound collection effect of the sound source corresponding to the operation response area.

In one embodiment, a multi-microphone system for an endpoint device receives input signals for a remote conference between the endpoint device and at least one other endpoint device. The multi-microphone system may include at least a top microphone unit and a bottom microphone unit. A signal degradation event that causes degradation of signals received by the top microphone unit or the bottom microphone unit is detected. Then, based on information regarding the signal degradation event, it is determined whether the signal degradation event affects one or both of the top microphone unit and the bottom microphone unit. In response, an output signal is generated for transmission to the at least one other endpoint device, and the output signal uses a portion of the input signals that excludes signals received by the top microphone unit and/or the bottom microphone unit determined to be affected by the signal degradation event.

A head-worn audio device is provided with a circuit for voice signal enhancement. The circuit comprises at least a plurality of microphones, arranged at predefined positions, where each microphone provides a microphone signal. The circuit further comprises a directivity pre-processor and a blind source separation processor. The directivity pre-processor is connected with the plurality of microphones to receive the microphone signals and being configured to provide at least a voice signal and a noise signal. Directivity pre-processing increases the mutual independence of the signals provided to the blind source separation processor and thus improves processing by blind source separation. The blind source separation processor receives at least the voice signal and the noise signal, and is configured to conduct blind source separation on at least the voice signal and the noise signal to provide at least an enhanced voice signal with reduced noise components.

An image capture device with beamforming for wind noise optimized microphone placements is described. The image capture device includes a front facing microphone configured to capture an audio signal. The front facing microphone co-located with at least one optical component. The image capture device further includes at least one non-front facing microphone configured to capture an audio signal. The image capture device further includes a processor configured to generate a forward facing beam using the audio signal captured by the front facing microphone and the audio signal captured by the at least one non-front facing microphone, generate an omni beam using the audio signal captured by the at least one non-front facing microphone, and output an audio signal based on the forward facing beam and the omni beam.

A conferencing system includes a plurality of microphones and an audio processing system that performs blind source separation operations on audio signals to identify different audio sources. The system processes the separated audio sources to identify or classify the sources and generates an output stream including the source separated content.

A method and device for detecting acoustic feedback events with an artificial neural network in an in-ear earbud audio system that allows, by user interaction, playback of a recorded and processed signal from an environment-recording microphone by an in-ear speaker that faces or is at least acoustically coupled with the ear canal such that sound played by the speaker enters the ear canal. The audio system employs an acoustic seal that acoustically separates the speaker from the microphone, but due to external factors, the acoustical separation may not be adequate, thereby forming acoustic feedback paths. The neural network facilitates a binary classification of the time-wise segmented microphone signal, which is used to stop playback by the in-ear speaker if a feedback event is detected to protect the hearing of the user. Detection of a feedback event triggers an audible or wireless notification to be delivered to the user.

A system for haptic stimulation includes: an actuation subsystem having a set of actuators, a support subsystem, a rigid housing, a sensor subsystem, a control module, and an electrical subsystem. A method for manufacturing a system for haptic stimulation includes performing a set of injection molding processes to form the support subsystem and/or the rigid housing; integrating the actuation subsystem within the support subsystem; and coupling the rigid housing to the support subsystem.

A hearing protection apparatus, a related method, and a server device is disclosed. The hearing protection apparatus comprises a set of microphones comprising a first microphone and a second microphone; a first positioning device for provision of first position data of the hearing protection apparatus; and a communication device connectable to the first microphone and the second microphone and the first positioning device, the communication device comprising a processing unit and an interface; wherein the processing unit is configured to: obtain a first audio input signal from the first microphone and a second audio input signal from the second microphone; determine first audio data based on the first audio input signal and the second audio input signal; and transmit the first audio data and the first position data to a radio unit.

Various implementations include approaches for sound enhancement in far-field pickup. Certain implementations include a method of sound enhancement for a system including microphones for far-field pick up. The method can include: generating, using at least two microphones, a primary beam focused on a previously unknown desired signal look direction, the primary beam producing a primary signal configured to enhance the desired signal; generating, using at least two microphones, a reference beam focused on the desired signal look direction, the reference beam producing a reference signal configured to reject the desired signal; and removing, using at least one processor, components that correlate to the reference signal from the primary signal.