An audio capture device selects between multiple microphones to generate an output audio signal depending on detected conditions. When the presence of wind noise or other uncorrelated noise is detected, the audio capture device selects, for each of a plurality of different frequency sub-bands, an audio signal having the lowest noise and combines the selected frequency sub-bands signals to generate an output audio signal. When wind noise or other uncorrelated noise is not detected, the audio capture device determines whether each of a plurality of microphones are wet or dry and selects one or more audio signals from the microphones depending on their respective conditions.

A sound pickup device includes: a housing; a mount portion via which the housing on an object constituting a portion of a musical instrument; a sound pickup including a plurality of the microphones respectively oriented in different directions; a first output configured to output a sound signal indicating a sound input to the sound pickup; and an installer configured to install the sound pickup on the housing such that each of the plurality of microphones is oriented away from the object when the housing is mounted on the object via the mount portion.

An electronic device localizes an audio source by normalizing an amplitude of an audio signal over a time period. The electronic device receives, from one or more microphones of the electronic device, signal(s) representative of audio emitted by an audio source over a time period. The electronic device estimates amplitudes of the signal(s) at a first time within the time period and at a second time within the time period, where the second time is different from the first time. The electronic device normalizes the amplitudes associated with the first and second times to generate normalized amplitudes. The electronic device determines a combined amplitude representative of the audio emitted by the audio source by combining the normalized amplitudes. The electronic device determines, based at least in part on the combined amplitude and motion of the electronic device, an estimated position of the audio source relative to the electronic device.

In some embodiments, apparatuses, systems, and methods are provided herein for performing sound analysis in a shopping facility. A system for performing sound analysis comprises: an array of sound sensors distributed throughout a shopping facility and configured to receive at least sounds resulting from people in the shopping facility, an audio database including information associated with one or more audio indicia, and a control circuit communicatively coupled to the array of sound sensors and configured to receive, from a plurality of sensors of the array of sound sensors, audio data, wherein the audio data includes audio from throughout the shopping facility, determine, based at least in part on the audio data and the information associated with the one or more audio indicia included in the audio database, an action be taken, and transmit, to a terminal, an indication of the action to be taken.

A system includes a microphone unit coupled to a roof of an autonomous vehicle. The microphone unit includes a microphone board having a first opening. The microphone unit also includes a first microphone positioned over the first opening and coupled to the microphone board. The microphone unit further includes an accelerometer. The system also includes a processor coupled to the microphone unit.

A method, computer program product, and computing system for receiving a signal from each microphone of a plurality of microphones, thus defining a plurality of signals. Harmonic distortion associated with at least one microphone may be determined. One or more harmonic distortion-based augmentations may be performed on the plurality of signals based upon, at least in part, the harmonic distortion associated with the at least one microphone, thus defining one or more harmonic distortion-based augmented signals.

A system and method for selecting audio capture sensors of wearable devices in obtaining voice data. The method provides obtaining signals associated with the user's voice at first and second wearable devices, comparing energy levels of the first and second signals, and selecting one or more audio capture sensors based on the energy levels of each signal. Due to the symmetry of the acoustic energy produced by the user's voice to a first and second wearable device, any difference in energy level between the total energy obtained by the first wearable device and the total energy obtained by the second wearable device can be attributed solely to ambient noise. Thus, the device with the higher total energy has a lower signal-to-noise ratio and selection of an audio capture sensor of the other wearable device with a higher signal-to-noise ratio is provided to obtain voice data moving forward.

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 transfer function calculation unit is configured to calculate a transfer function from a sound source installed in a predetermined target direction to each microphone of a microphone array, and a determination unit is configured to determine whether or not the microphone array is normal on the basis of a difference amount between a transfer function to each microphone and a predetermined ideal transfer function to each microphone.

A method for self-calibrating a sound pickup process that uses a microphone array in a wearable device that also includes a loudspeaker, where the microphone array being in a physical arrangement with respect to the loudspeaker. The method obtains, for each of several microphones of the microphone array, one or more transfer functions that each represent a response of the microphone to sound from a position in an acoustic space. The method determines whether a physical arrangement of the microphone array with respect to the loudspeaker has changed and adjusts the transfer function, for at least one of the microphones of the several microphones, in response to determining that the current physical arrangement of the microphone array with respect to the loudspeaker has changed.