A system for controlling an engine tone by an artificial intelligence based on a sound quality index of a vehicle may include a sound output device for generating a reinforcing sound to reinforce an engine sound of the vehicle; an engine characteristic measurement sensor for measuring sound source characteristics of the engine sound; an interior noise measurement sensor for detecting interior noise of the vehicle; a signal processing controller that receives signals from the engine characteristic measurement sensor in real time and controls the sound output device such that the engine sound reaches a target tone; and a tone control operation unit connected to the signal processing controller to optimize the sound quality index such that the engine sound reaches the target tone through the artificial intelligence.

In one embodiment, a computer-program product embodied in a non-transitory computer readable medium that is programmed for performing active vibration cancellation (AVC) in a moving vessel is provided. The computer-program product includes instructions to receive a first signal indicative of vibrations that are exhibited on at least one passenger in a cabin of the moving vessel and to determine a resonant frequency of the vibrations that are exhibited on the at least one passenger based on the first signal. The computer-program product further includes instructions to generate a first anti-wave signal based on the resonant frequency and to drive at least one haptic actuator that is positioned proximate to the at least one passenger in the cabin with the first anti-wave signal to minimize motion sickness for the at least one passenger caused by the vibrations that are exhibited on the at least one passenger in the vessel.

An acoustic device includes: an imaging device configured to take a sample image of a space as a sound field and create an image data on the space based on the taken sample image; a sound collector configured to collect a sound generated in the space or to collect a previously-collected acoustic data therein; and a computation part configured to previously compute a plurality of parameters relevant to a coefficient of spatial acoustic filter corresponding to the sample image of the space and previously learn a sound field model of the space shown in the sample image. The computation part is configured to construct a sound field model of the sample image taken by the imaging device or of a previously-taken sample image, from the acoustic data collected by the sound collector, using the coefficient of spatial acoustic filter.

A speaker system includes a cushion body with which a person comes into contact when sitting therein, and a speaker, a front of which is covered by the cushion body. The cushion body includes: a three-dimensional mesh-like elastic part that is formed by a three-dimensionally entangled fiber and bears a load of the person; and a cover member that covers surroundings of the three-dimensional mesh-like elastic part. The cover member includes a first cover member that covers the part of the surroundings of the three-dimensional mesh-like elastic part located at the front of the speaker, and a second cover member that is a remainder of the cover member excluding the first cover member. The first cover member has a higher acoustic transmissivity than the second cover member.

Provided is an active acoustic control program that can reduce noise in a vehicle interior irrespective of the vehicle type, due to being installed in a device that is easily available to anyone. This active acoustic control program is downloaded using a communicator that transmits and receives data to and from a server, and this program causes a computation process device to execute a process for generating a control signal that causes a canceling sound to be outputted from a speaker provided in an interior of a vehicle in order to reduce noise in the vehicle interior. Said program is provided with an adaptive notch filter that processes a reference signal as an adaptive signal to generate a control signal, and a control filter coefficient update unit that continuously updates a filter coefficient of the adaptive notch filter so that an error signal is minimized.

Active noise control systems and methods are disclosed that include generating with a first sub-system, anti-noise that is configured to reduce or cancel noise occurring at a listening position. Generating with a second sub-system, anti-noise that is configured to reduce or cancel noise occurring at the listening position. The first active noise control sub-system has a higher robustness than the second active noise control sub-system.

A method and audio apparatus for processing an audio signal are provided. The audio apparatus includes at least one microphone to acquire ambient sound of the audio apparatus, a speaker to output the audio signal, an air pressure regulator including a fluid tube connecting an external space of a housing of the audio apparatus to an internal space of the housing, and configured to adjust a change in an air pressure of the internal space of the housing and an audio signal processor configured to generate an anti-noise signal for canceling noise in the ambient sound by using the acquired ambient sound and output the generated anti-noise signal and the audio signal through the speaker.

A control device (DC) is fitted to a vehicle (VA) which can be driven by a driver during a manual driving phase and which comprises a passenger compartment (H) fitted with a loudspeaker (HP) capable of diffusing sound signals and an assistance device (DA) for driving said vehicle in a totally autonomous manner during an autonomous driving phase. This device (DC) comprises acquisition means (MA) for recording first sound signals present in the external environment of the vehicle (VA), and control means (MC) for generating, during an autonomous driving phase, second sound signals in phase opposition to the first recorded sound signals, in order to supply same to the loudspeaker (HP) so that the transmission of said signals induces cancellation of the first sound signals in the passenger compartment (H).

Engine order cancellation (EOC) systems generate feed forward noise signals based on the engine or other rotating shaft RPM and use those signals and adaptively configured W-filters to reduce the in-cabin SPL by radiating anti-noise through speakers. An EOC system may include a drive mode detector for detecting different vehicle drive modes based on an analysis of signals indicative of current vehicle operating conditions. Upon detection, the EOC system may adaptively adjust various tuning parameters for the EOC algorithm based on the current vehicle drive mode. The EOC system may also selectively target different sets of engine orders for noise cancellation according to the current vehicle drive mode based on which engine orders are dominant during that drive mode.

An earmuffs system for noise reduction including an external microphone used in combination with active noise cancellation technology for the reduction of wind or other noises typically experienced while riding a vehicle such as a motorcycle, snow machine or ATV, the earmuffs system including a first earmuff including a first speaker and a first microphone therein; a second earmuff electrically coupled to the first ear muff, the second ear muff including a second speaker and a second microphone therein; noise cancellation circuitry for receiving first sounds from the first microphone and the second microphone and processing the first sounds by in part canceling the first sounds to form a first sound output that is provided from the first speaker and the second speaker; a third microphone placed external to the first earmuff, the third microphone supplying second sounds for the first speaker to output as a second sound output without the second sounds undergoing noise cancellation processing; and a fourth microphone placed external to the second earmuff, the fourth microphone supplying third sounds for the second speaker to output as a third sound output without the third sounds undergoing noise cancellation processing.