Not to give a noise to a subject to which it is not desired to give the noise. According to the present disclosure, a mobile unit control device including a noise estimation unit (434) that estimates, based on a position of a sound source and a sound volume generated by the sound source, a noise in a target region in which the noise is suppressed, and a control unit (436) that controls, based on the estimated noise, an operation of a mobile unit to reduce the noise in the target region is provided. With this configuration, it is possible not to give a noise to a subject to which it is not desired to give the noise.

A device for generating acoustic compensation signals, which serve to compensate acoustic signals that result from the operation of a motor-vehicle drive unit. The device includes a signal-generating apparatus designed to generate acoustic compensation signals, which serve to compensate acoustic signals that result from the operation of a motor-vehicle drive unit, and a control apparatus, which is associated with the signal-generating apparatus and which is designed to control the operation of the signal-generating apparatus. The device also includes a determination apparatus, which is associated with the control apparatus and which is designed to determine the propagation direction of acoustic signals and to generate direction information describing the determined propagation direction of the acoustic signals. The control apparatus is further designed to control the operation of the signal-generating apparatus on the basis of corresponding direction information.

The present invention provide a method and system of audio sharing aimed to revolutionize the way people listen and share music and to give multiple uses to a wireless headphone referred to as HEDphone. A communication protocol referred to as HEDtech protocol is used in a HED system to allow users to share music amongst a plurality of HEDphones while using a single audio source. A wireless connection is established between the HEDphone and a mobile device including an audio source while simultaneously having the capability of allowing other HEDphone users to join wirelessly and listen to the same audio source. A feature of Super Human Hearing (SHH) goes beyond conventional ANR (ambient noise reduction) with additional features that allow the user to control their aural environment by being able to directionally increase or decrease selective frequencies.

An active noise cancellation (ANC) system is provided with at least one loudspeaker to project an anti-noise sound within a room in response to receiving an anti-noise signal. A first controller is programmed to adjust a transfer function indicative of a secondary path between the at least one loudspeaker and at least one microphone within the room based on a resonance frequency of the at least one loudspeaker, and to generate the anti-noise signal based on the adjusted transfer function.

One aspect of the present disclosure relates to a noise masking method through variable masking sound level conversion, capable of adjusting an interval for changing a level of a masking sound for masking noise to an optimal interval so that the masking sound is not perceived as noise, by determining a fluctuation trend of a level of audible noise and adjusting the interval for changing the level of the masking sound for masking the noise into an optimal environment through a control unit.

A noise cancelling system for a vehicle includes a microphone, at least one first sensor configured to collect first data related to an element that generates a noise sound, at least one second sensor configured to collect second data related to an element that changes a secondary path of the noise sound, a controller configured to select a secondary path model corresponding to the second data from among a plurality of pre-stored secondary path models, input the first data to a secondary path filter corresponding to the selected secondary path model, and generate an anti-noise signal based on output data of the secondary path filter and error data received from the microphone, and a speaker configured to output an anti-noise sound based on the anti-noise signal.

A device operates to perform acoustic echo cancellation. The device includes a speaker to output a far-end signal at the device, a microphone to receive at least a near-end signal and the far-end signal from the speaker to produce a microphone output, and an AI accelerator operative to perform neural network operations according to a first neural network model and a second neural network model to output an echo-suppressed signal. The device further includes a digital signal processing (DSP) unit. The DSP unit is operative to perform adaptive filtering to remove at least a portion of the far-end signal from the microphone output to generate a filtered near-end signal, and perform Fast Fourier Transform (FFT) and inverse FFT (IFFT) to generate input to the first neural network model and the second neural network model, respectively.

A system and method for integrating a home media system and other home systems. As a non-limiting example, various aspects of this disclosure provide a system and method that flexibly and efficiently provide communication and/or resource sharing between a home media system and various other home systems.

A method, system, and apparatus for noise cancelation is disclosed, which may be used in a wireless unit (WU). The WU may include a processor, a memory, a user interface, one or more internal microphones and internal speakers. A removably connected headset may include microphones and speakers. The WU may receive a first signal from the headset. The WU may receive a first ambient noise at the one or more internal microphones, and the WU may generate a second signal based on the first ambient noise. The WU may calculate an estimate of ambient noise based on the first and second signals, calculate a signal for noise cancellation based on the estimate, cancel estimated ambient noise from an audio output signal based on an application of the signal for noise cancellation, and send the audio output signal to one or more speakers of the headset or of the WU.

In one example, a method includes calculating a signal to noise ratio of a captured audio stream, determining that the signal to noise ratio of the captured audio stream is lower than a predefined threshold, acquiring visual data of a source of the captured audio stream in response to the determining that the signal to noise ratio of the captured audio stream is lower than the predefined threshold, using the visual data to infer a sound that is being made by the source of the captured audio stream, indexing the sound that is being made by the source of the captured audio stream to a library index, and transferring the library index to a receiving user endpoint device.