A method of controlling an audio system comprises: receiving an audio signal, and applying a first gain to the audio signal and outputting an amplified audio signal. On receiving a user input to increase the first gain applied to the audio signal, if the first gain is at a first threshold value, the method comprises: receiving an ambient noise signal, processing the ambient noise signal with a second gain value and outputting a noise cancellation signal, and changing the second gain value in response to the user input.

The handling of disturbances to audio signals may be improved with an adaptive noise cancellation (ANC) system that performs tone suppression and howl suppression in a collaborative manner. Such ANC systems may be configured to detect a first tone in an input signal at a first tone frequency and extract the detected first tone from the input signal. The ANC systems may also be configured to adaptively filter the extracted first tone to generate a second tone that has a magnitude that is approximately equal to a magnitude of the extracted first tone and a phase that is approximately opposite the phase of the extracted first tone. The ANC systems may be further configured to add the second tone to an intermediate signal that is based, at least in part, on the input signal to generate the output signal.

A signal processor for determining a plurality of drive signals for driving a plurality of loudspeakers to cancel a reverberation effect in a listening area, wherein the signal processor is configured to determine from one or more measured audio signals a plurality of measured physical coefficients in a basis of physical sound functions, such that a sum of the physical sound functions, weighted with the plurality of measured physical coefficients approximates the one or more measured audio signals, wherein at least half of the plurality of measured physical coefficients are zero, determine a residual error between the plurality of measured physical coefficients and a plurality of desired physical coefficients, estimate a transfer function describing a transformation from the plurality of desired physical coefficients to the plurality of measured physical coefficients, based on the determined residual error, and update the plurality of drive signals based on the estimated transfer function.

A maximum noise suppression level (G.sub.min) is not a single constant value for an entire frequency range, but is allowed to vary across frequencies. The amount of variation is dynamically computed based on the input noise characteristics. For example, if there is excess noise in the lower frequency region, the maximum noise suppression level in that region will increase to suppress the noise in that frequency region. This feature can be enabled all the time, and will be active when the input conditions warrant extra noise suppression in a particular frequency region. Thus, the effort involved in manually tuning an audio system (e.g., hands-free telephony, voice-controlled automotive head unit, etc.) can be significantly reduced or eliminated.

The present invention relates to a novel animal-shaped wireless baby monitor device. The device is configured to capture video and audio of a baby being monitored and to transmit same to a remote electronic transceiver device. The monitor device includes a pair of flexible ears that can be folded to clamp the device onto a surface such as a crib bar. The device further includes a pair of clamping slots on the rear surface for receiving a clamp for clamping the device to a surface. The device communicates with a device-monitoring software application installed in the electronic device and receive configuration and communication requests from the application. The device can be a part of an Internet of Things (IoT) network.

According to certain embodiments, an electronic device comprises: at least one display module; at least one communication module; at least one microphone; at least one camera; and a processor, wherein the processor is configured to: capture at least one image through the at least one camera, identify at least one object located around the electronic device, based at least in part on the at least one image, identify sound information attributable to the identified at least one object from first sound data input through the at least one microphone, control the at least one display module to display at least one virtual object corresponding to the identified at least one object at a position corresponding to the at least one object, wherein the position is determined based on the sound information, obtain a first user input associated with a first virtual object among the at least one virtual object, and determine a noise cancellation (NC) level of a first object corresponding to the first virtual object, based on the first user input.

There is described a computer-implemented method for calibrating a sound signal, comprising: receiving an initial sound signal, a recorded background sound signal, a recorded initial sound signal and a target sound signal; subtracting the recorded background sound signal from the recorded initial sound signal, thereby obtaining a denoised sound signal; dividing the target sound signal by the denoised sound signal, thereby obtaining a compensation factor; dividing the initial sound signal by the compensation factor, thereby obtaining a calibrated sound signal; and outputting the calibrated sound signal.

Methods and apparatuses for addressing open space noise are disclosed. In one example, a system and method for masking open space noise includes outputting a noise masking sound from a plurality of balanced mode radiator loudspeakers distributed in a down-fire direction above an open space.

A method of performing cancellation for acoustic or electromagnetic measurement or communications includes receiving an output signal to be applied to a transmit transducer, introducing a delay to the output signal to produce a delayed output signal, applying the delayed output signal to the transmit transducer, receiving an input signal from a receiving transducer, wherein the input signal comprises at least a portion of the delayed output signal, and iteratively solving a Kalman filter problem as a function of the input signal, the output signal, and the delay to produce a first filtered input signal.

An audio noise calibration circuit is provided comprising: a speaker, the speaker including a driver input; a switch having a first terminal, a second terminal, and an output, and wherein the switch is adapted to be responsive to a switching signal having at least a first switching state and a second switching state such that the first terminal of the switch is connected to the output of the switch when the switching signal is in the first switching state such that there is electrical connectivity between the first terminal and the output, and the second terminal of the switch is connected to the output of the switch when the switching signal is in the second switching state such that there is electrical connectivity between the second terminal and the output, and further wherein the output of the switch is connected to the driver input of the speaker; and an audio processing unit adapted to generate the switching signal such that when in the first switching state, an audio signal generated by the audio processing unit is transferred to the first terminal and then to the driver input of the speaker to be broadcast, generate the switching signal such that when in the second switching state, the driver input of the speaker is connected to a first portion of the audio processing unit such that the speaker operates as a microphone to acquire ambient noise sound, and an electrical output of the microphone that represents the ambient noise sound is processed by the first portion of the audio processing unit to generate a digitized ambient noise sound, and modify a next output audio signal based on the digitized ambient noise sound.