A mobile body includes a driving mechanism, a speaker, and a control unit. The driving mechanism supplies power moving the mobile body. The control unit generates from the speaker a sound wave canceling a driving sound generated from the driving mechanism.

Embodiments include a method and noise cancelling system for cancelling noise in a vehicle by operating at least one noise cancelling means in a first mode of operation to output a noise cancelling signal; receiving at least one input indicative of a state of the vehicle; determining if noise cancelling error conditions are present based on the at least one received input indicative of a state of the vehicle; and operating at least one noise cancelling means in a second mode of operation if noise cancelling error conditions are determined as present.

Noise cancellation systems and methods are provided that receive a reference signal representative of a noise to be reduced and provide a noise cancellation signal based upon the reference signal. Some examples include a feedback signal representative of a residual noise in the environment. At least one of the reference signal, the noise cancellation signal, or the feedback signal is filtered to remove components based upon a rotational rate of a rotating equipment associated with the environment, such as an engine of a vehicle. Accordingly, the noise cancellation system may not interfere with sounds related to the engine.

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.

Provided is a noise-cancelling headphone device that prevents deterioration of reproduction frequency characteristics in a high-frequency band while preventing reduction in the reproduction output in the low-frequency band. The proposed technology is a noise-cancelling headphone device, including a speaker unit provided with a dome-shaped diaphragm having a center dome and a sub-dome, a microphone that detects ambient noise incident into the speaker unit, a baffle plate supporting the speaker unit and provided with sound emission holes to radiate reproduction sound emitted from the speaker unit, and a signal processing circuit to generate noise cancellation signal generated based on the ambient noise detected by the microphone, wherein an acoustic resistance member is provided at the position facing the sub-dome of the dome diaphragm.

A method for generating anti-noise comprises receiving a sound signal representative of ambient sound including noise from a noise source, anti-noise from an anti-noise generator, and propagation noise from environment; processing the sound signal using a deep learning algorithm configured to generate an anti-noise signal to form anti-noise; and outputting the anti-noise signal to the anti-noise generator. The deep learning algorithm features an iterative encoder module forming plural feature maps; an attention module generating plural attention maps respectively based on the feature maps; a recurrent neural network (RNN), with long short-term memory layers receiving the feature map of the final iteration of the encoder module, predicting a future portion of the sound signal and modelling temporal features of the feature map of the final encoder module iteration; and an iterative decoder module mapping the output of the RNN to the anti-noise signal having common dimensions as the sound signal.

A system for masking audio signals includes a microphone for generating an ambient audio signal representing ambient noise, a speaker for rendering masking audio, and a processor in communication with the microphone and the speaker. The processor performs spectral analysis on the ambient audio signal from the microphone to determine a spectral envelope of the ambient noise, adjusts a frequency response of an optimizing filter based on the spectral envelope, applies the optimizing filter to a baseline masking waveform, producing an output waveform with relative spectral distribution matching the ambient noise, and provides the output waveform to the speaker.

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.

A room monitoring System is provided, comprising: a speaker; a microphone; and a digital signal processor (DSP) adapted to generate and transmit a first audio test signal to the speaker to be broadcast in the room, wherein the first audio test signal comprises a power spectral density that is inversely proportional to its frequency, and wherein the transmitted first audio test signal is reflected within the room, and wherein the DSP is further adapted to process the reflected broadcast first audio test signal received by the microphone, generate and save a frequency-amplitude analysis of the received first audio test signal as an initial reference curve, periodically test the room in a substantially similar manner to generate one or more additional reference curves, and compare the one or more additional reference curves to determine whether they are within a known, predetermined tolerance of the initial reference curve.

A set-top box with enhanced functionality and a system and method for use of the same are disclosed. In one embodiment of the set-top box, a housing secures a television input, a television output, a processor, memory, storage, an audio input unit, and an active sound control circuit portion interconnectively therein. The set-top box receives a source signal from an external source and forwards a fully tuned audiovisual signal to a display and speaker based on the source signal. The set-top box utilizes the active sound control circuit portion to generate a processed audio signal by analyzing an external audio signal received at the audio input unit against an internal audio source signal component of the source signal.