Active noise-cancelling (ANC) headphones in the form of a part of a headset or as in-ear headphones that reduce acoustic adaptation by providing an electrodynamic speaker in a housing with ventilation openings and an acoustically permeable front panel. These components form a module that can be integrated into ANC headphones, permitting its installation in different headphones without customization. The module reacts to a reduction of the impermeability situation in such a manner, that an impedance change of the speaker takes place below 100 Hz. For example, a microphone and electronics with a feedback filter for active noise cancellation can be provided that form a secondary route between speaker and microphone. In a further development, an evaluation unit is provided which detects and evaluates a change in the impedance of the speaker and adapts the feedback loop.

Embodiments of the present application provide a method and system for active noise control, which can meet different needs of different consumers on sound quality of headphones. The method includes: determining an expected noise control curve of performing active noise control on a target object; determining a target filter according to the expected noise control curve and a filter model; and performing noise control processing on an external noise signal using the target filter.

Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises. The machine learning systems, algorithms or techniques used to predict such noises may be trained using emitted sound pressure levels observed during prior operations of aerial vehicles, as well as environmental conditions, operational characteristics of the aerial vehicles or locations of the aerial vehicles during such prior operations. Anti-noises may be identified and generated based on an overall sound profile of the aerial vehicle, or on individual sounds emitted by the aerial vehicle by discrete sources.

An electronic device including an earphone device is provided. The earphone device includes a shell, a speaker, a first microphone device, a memory circuit and a controller. The memory circuit stores multiple parameter sets. The first microphone device receives a first sound. The first microphone device generates first data based on the first sound. The controller compares the first data with the parameter sets of the memory circuit and determines which one of the parameter sets corresponds to the first data based on the frequency parameters and the volume parameters. The controller generates second data based on the adjustment parameters of the one of the parameter sets, and the speaker generates a second sound based on the second data. The first sound generates a third sound in the shell, and the phase of the second sound is substantially opposite to the phase of the third sound.

A method and device for detecting whether a headset is on ear. Microphone signals from a plurality of microphones are used to derive a plurality of signal feature measures, which are normalized to a common reference scale. The signal feature measures are weighted based upon detected signal conditions in the microphone signals. The normalized and variably weighted signal feature measures are then combined to produce an output indication of whether a headset is on ear.

An adaptive noise classifier and a controller for controlling various noise cancellation systems of a vehicle are provided. The adaptive noise classifier determines a first acoustic state of the vehicle based on audio signals generated by various audio-capturing devices of the vehicle. The controller receives status data indicative of one or more functional attributes of the vehicle. Based on the status data and the first acoustic state, the controller determines a second acoustic state. The second acoustic state is an updated version of the first acoustic state. Based on the second acoustic state, the controller controls an operational state of each noise cancellation system of the vehicle.

The present disclosure provides systems and methods for generating and transmitting, or applying, a noise profile based on a determined environment a host device is operating in. The host device may receive data from one or more sensors, location information, and/or device information. The sensors may include a pressure, temperature, light, location, or humidity sensor. The location information may include data from a global positioning system and/or connectivity signals, such as multicast DNS and/or Bluetooth broadcast. Device information may include schedule data and/or device state information. The data from one or more sensors, the location information, and/or the device information may be aggregated to determine the environment in which the host device is operating in. Based on the determined environment, a noise profile generator may generate a noise profile. The noise profile may define gains to be applied to audio signals being output to the user.

An information handling system includes a processor configured to operate in one of a plurality of power states. An audio circuit measures an ambient audio environment within the information handling system, classifies the measured ambient audio into one of a plurality of categories, and implements a power management policy for the processor in response to the measured ambient audio being classified into the one of the categories.

An information handling system includes a processor configured to operate in one of a plurality of power states. An audio circuit measures an ambient audio environment within the information handling system, classifies the measured ambient audio into one of a plurality of categories, and implements a power management policy for the processor in response to the measured ambient audio being classified into the one of the categories.

A method and device for detecting whether a headset is on ear. Microphone signals from a plurality of microphones are used to derive a plurality of signal feature measures, which are normalized to a common reference scale. The signal feature measures are weighted based upon detected signal conditions in the microphone signals. The normalized and variably weighted signal feature measures are then combined to produce an output indication of whether a headset is on ear.