An active road noise control system method for a vehicle includes picking up noise at a multiplicity of positions in or on the vehicle and generating a multiplicity of noise sense signals representative of road noise originating from a road noise source in or at the vehicle, and processing, according to a beamforming scheme, the multiplicity of noise sense signals to generate a reference signal and to provide a sensitivity characteristic for picking up the noise that comprises one main lobe directed to the road noise source. The system and method further includes iteratively and adaptively processing the reference signal to provide a noise reducing signal, and generating at one or more positions in an interior of the vehicle, from the noise reducing signal, noise reducing sound at a listening position in the interior of the vehicle.

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.

In certain aspects, an active noise control (ANC) method and system for a headphone are disclosed. It is determined whether a music signal is played by a speaker of the headphone. Responsive to the music signal not being played by the speaker and a noise level of an ambient noise signal being greater than a noise threshold, a set of noise feedforward (FF) signals is obtained based on a set of FF microphone signals acquired by a set of FF microphones of the headphone. A noise feedback (FB) signal is obtained based on a first FB microphone signal acquired by a FB microphone of the headphone. A set of leakage monitoring parameters is obtained based on the set of noise FF signals and the noise FB signal. A set of FF filter parameters for a set of FF filters is adjusted based on the set of leakage monitoring parameters.

Noise abatement within a signal stream containing unwanted signal referred to as noise is performed by acquiring a digitized noise signal and using a digital processor circuit to subdivide the acquired noise signal into different frequency band segments and thereby generate a plurality of segmented noise signals. Then individually for each segmented noise signal, the processor shifts in time the segmented noise signal by an amount dependent on a selected frequency of the segmented noise signal to produce a plurality of shifted segmented noise signals. The precise time shift applied to each noise segment considers the frequency content of the segment and the system processing time. Individually for each segmented noise signal, amplitude scaling is applied. The shifted and amplitude-scaled segmented noise signals are then combined to form a composite anti-noise signal which is output into the signal stream to abate the noise through destructive interference.

An audio device with acoustic echo cancellation includes a device cabinet having a cabinet interior; a first open back driver receiving a first open driver input from an audio source; a second open back driver receiving a second open driver input from the audio source, wherein the first open back driver and the second open back driver are acoustically coupled to the cabinet interior; a reference microphone located in the cabinet interior to record a reference microphone signal based on sound emitted within the cabinet interior by the first open back driver and the second open back driver based on the first open driver input and the second open driver input, respectively; and an acoustic echo cancellation block subtracting a representation of the reference microphone signal from a representation of a set of input microphone signals to provide an echo-cancelled output.

A sound processing apparatus includes a receiving module configured to receive audio signals of one or more sounds acquired by a personal sound device, a processing module configured to use a sound processing model to perform: classification processing in which a type of a scenario where a user of the personal sound device is located is determined based on the audio signals; identification processing in which each of the one or more sounds is determined as a desired sound or an undesired sound based on the determined type of the scenario, and filtering processing in which filtering configuration is performed based on a result of the identification processing. The audio signals are filtered based on the filtering configuration, and an output module is configured to output the filtered audio signals, so as to provide same to the user.

A drone includes a motor, a noise receiver, a camera, a distance measure, and a directed sound beam generator. The noise receiver is configured to detect a noise caused by the motor. The camera is configured to capture an image of an area when the drone is in the air. The distance measure is configured to measure a distance between the drone and a particular point in the captured image. The directed sound beam generator is configured to emit a sound beam that is directed to a particular direction. The drone further includes a processor configured to analyze the detected noise to determine a frequency spectrum of the detected noise. The processor is further configured to analyze the captured image to identify a target, and cause the directed sound beam generator to emit a sound beam to actively cancel at least a portion of the noise directed to the target.

In an active noise reducing headphone, a signal processor applies filters and control gains of both the feed-forward and feedback active noise cancellation signal paths. The signal processor is configured to apply first feed-forward filters to the feed-forward signal path and apply first feedback filters to the feedback signal path during a first operating mode providing effective cancellation of ambient sound, and to apply second feed-forward filters to the feed-forward signal path during a second operating mode providing active hear-through of ambient sounds with ambient naturalness.

A method for reducing noise within a vehicle cabin comprising at least one error sensor and at least one sound transducer, the method comprising: the at least one error sensor measuring at least one first noise at a first location; selecting at least one sound zone from a plurality of sound zones within the cabin for reducing noise in said at least one sound zone, based on a presence of a driver and passenger(s) within the cabin; estimating at least one second noise that would have been measured at a second location within the selected at least one sound zone, based on a primary transfer function describing a primary acoustic path from the first location to the second location; the at least one sound transducer generating at least one secondary noise for reducing the at least one second noise that would have been measured at the second location.

A method for generating an active noise reduction filter includes: obtaining a physically noise-reduced signal, the physically noise-reduced signal being a signal received by a feedback microphone after a noise signal passes through an earphone, obtaining a mixed signal, the mixed signal being a signal received by the feedback microphone when the same noise signal is played and the earphone plays a through signal in a through state, calculating an input signal according to the mixed signal and the physically noise-reduced signal, performing adaptive filtering on the input signal and the physically noise-reduced signal according to an adaptive filtering algorithm to obtain a transfer function, and generating an active noise reduction filter according to the transfer function.