A mobile communication device equipped for proximity detection may include a transmitter that emits a periodic ultrasound signal, a receiver that detects the periodic ultrasound signal, an intra-frame filter that filters the detected periodic ultrasound signal based on a frame length of the detected periodic ultrasound signal, and a detector that determines a power level of the filtered periodic ultrasound signal to detect if the receiver is located in an undesirable location.

An electronic device may include control circuitry, sensors, and wireless circuitry having antennas. The sensors may generate sensor data that is used by the control circuitry to identify an operating environment for the device. The sensor data may include a grip map generated by a touch-sensitive display, infrared facial recognition image signals or other image signals, an angle of arrival of sound received by a set of microphones, impedance data from an impedance sensor, and any other desired sensor data. The control circuitry may use the sensor data, radio-frequency spatial ranging data, information about whether audio is being played over an ear speaker, and/or information about communications protocols in use to identify the operating environment. The control circuitry may adjust antenna settings for the wireless circuitry based on the identified operating environment to ensure that the antennas operate with satisfactory antenna efficiency regardless of operating conditions.

A mobile communications device contains at least two microphones. One microphone is designated by a selector to provide a voice dominant signal and another microphone is designated to provide a noise or echo dominant signal, for a call or a recording. The selector communicates the designations to a switch that routes the selected microphone signals to the inputs of a processor for voice signal enhancement. The selected voice dominant signal is then enhanced by suppressing ambient noise or canceling echo therein, based on the selected noise or echo dominant signal. The designation of microphones may change at any instant during the call or recording depending on various factors, e.g. based on the quality of the microphone signals. Other embodiments are also described.

Provided are an artificial intelligence (AI) system using a machine learning algorithm such as deep learning and an application of the AI system. Provided is a method of converting sound data, the method including acquiring binaural sound data; converting the binaural sound data by using a pre-generated training network model, based on a parameter indicating a context at a time of acquiring the binaural sound data; and outputting the converted binaural sound data.

A system for directionally selective sound reception comprises an array of pressure sensors (120a, 120c) each arranged to output a pressure signal indicative of pressure, and a processor arranged to receive the pressure signals. The sensor array comprises a support (130) supporting the four sensors. Two of the sensors are mounted on one side of the support and at least a third sensor is supported on an opposite side of the support. The sound pressure difference measured between the first sensor and the second sensor caused by sound arriving at the array from a direction parallel to the support (130) is dependent on the distance between the first and second sensors and the nature of material in the space between the first and second sensors. The sound pressure difference measured between the first and third sensors caused by sound travelling perpendicular to the support is dependent on the distance between the first and third sensors. The nature of material in the space between the first and third sensors, and the spacings and the materials are selected such that the sound pressure differences are substantially equal.

At least one processor can detect a volume of a sound input to an upper microphone. The at least one processor can determine whether or not at least one of a sound emission hole for a rear speaker and a sound collection hole for the upper microphone is clogged, based on the detected volume. The at least one processor can give a notification about a result of determination.

A method for switching working mode of a headphone, and a headphone are disclosed. The method includes: receiving, via a sound channel of the headphone, a signal sent by a smart terminal; processing the signal; and when a command indicative of switching the working mode of the headphone is obtained after the signal is processed, controlling, according to the command, a switch module of a microphone channel to switch the working mode such that the headphone is switchable between a call mode and an application data transmission mode. According to the present application, the working mode of the headphone may be automatically switched, and thus user experience may be improved.

An electronic device includes a first microphone, a second microphone, a sensing unit, and a control unit. The first and second microphones are respectively positioned at two different sides of the electronic device. The sensing unit is configured to sense a first light value of a first side of the electronic device, a second light value of a second side of the electronic device and an orientation of the electronic device. The control unit is configured to select one of the first microphone and the second microphone to work according to the first and second light values and the orientation of the electronic device.

Disclosed herein is an apparatus. The apparatus includes a housing, electronic circuitry, and an audio-visual source tracking system. The electronic circuitry is hi the housing. The audio-visual source tracking system includes a first video camera and an array of microphones. The first video camera and the array of microphones are attached to the housing. The audio-visual source tracking system is configured to receive video infonnation from the first video camera. The audio-visual source tracking system is configured to capture audio information. from the array of microphones at least partially in response to the video information. The audio-visual source tracking system might include a second video camera that is attached to the housing, wherein the first and second video cameras together estimate the beam orientation of the array of microphones.

A method for controlling an electronic device is provided. The method for controlling an electronic device includes operating a first microphone and a second microphone; receiving a first voice signal picked up by the first microphone and a second voice signal picked up by the second microphone; selecting at least one voice signal; storing the selected at least one voice signal; and sending the second voice signal picked up by the second microphone to a communication module.