In an active noise control method and system for a vehicle, the active noise control method for a vehicle includes receiving, by a head unit, a noise signal detected by at least one wireless earphone in a vehicle, generating, by an amplifier (AMP) controller, a target output signal corresponding to a sound to be provided to an occupant, generating, by an acoustic design processor (ADP) controller operatively connected to the amplifier (AMP) controller, an opposite phase signal to a signal made by subtracting the target output signal from the noise signal, and transmitting, by the head unit, the generated opposite phase signal to the at least one wireless earphone.

An audio system may include a microphone configured to sense sound and generate an analog audio signal; an analog-to-digital convertor (ADC) configured to convert the analog audio signal to a digital audio signal having a first bit rate; a motion sensor configured to sense motion associated with the microphone and generate a motion signal representative of the motion associated with the microphone; a motion signal conversion module configured to convert the motion signal to a digital audio noise signal having a second bit rate synchronized with the first bit rate; and a noise suppression module configured to at least partially suppress the digital audio noise signal relative to the digital audio signal to generate a noise-suppressed digital audio signal.

A noise reduction system including a feedforward sensor, an audio controller, and an acoustic driver is provided. The feedforward sensor is arranged to detect body conducted vibrations. The feedforward sensor is configured to generate a feedforward signal based on the detected vibrations. The audio controller is communicatively coupled to the feedforward sensor. The audio controller is configured to generate an audio output signal based on the feedforward signal and a command signal. The acoustic driver is configured to render audio based on the audio output signal. In some examples, the noise reduction system further includes a feedback sensor arranged to capture sound within an ear canal of a user. The feedback sensor is configured to generate a feedback signal based on the captured sound. The audio output signal is generated further based on the feedback signal.

A noise suppression device for a motor vehicle includes one or more accelerometers and an evaluation device. A number of accelerometers detect vibrations that may be generated by wheels of the motor vehicle which are movable on a road surface and which may produce a noise in an interior of the motor vehicle. The evaluation device determines acoustic signals from the detected vibrations that are suitable for at least partly suppressing the noise when emitted in the interior of the motor vehicle. The number of accelerometers is less than or equal to a total number of vehicle axles of the motor vehicle.

A noise emission reduction system includes a solenoid couplable to a shielding member, and to a frame of a vehicle. The solenoid is controllable to induce vibration of the shielding member in relation to the frame of the vehicle. A microphone is configured to receive sound emitted by a noise source. An accelerometer is couplable to the frame and a controller is coupled to the solenoid, to the microphone, and to the accelerometer. The controller is configured to: receive a first signal from the accelerometer; receive a second signal from the microphone; determine a control signal for the solenoid based on the first signal and the second signal; and control the solenoid using the determined control signal to induce vibration of the shielding member in relation to the frame.

Systems and methods are provided for enhancing the performance and adaptability of active noise cancellation (ANC) systems in vehicles by dynamically adjusting reference signal gains and combining reference signals based on vehicle operating conditions. A plurality of noise reference signals are acquired from sources like accelerometers, acoustic vehicle alerting system (AVAS) speakers, LiDAR sensors, seat motors, and HVAC blowers. Vehicle parameters such as speed, seat position, and blower speed are estimated to retrieve dynamic gain values from lookup tables. The dynamic gains are applied to the respective noise reference signals to generate gain-adjusted reference signals. The gain-adjusted signals are mixed using configurable mixing gains to produce a reduced set of combined reference signals provided to an adaptive filter. This approach enables the ANC system to effectively cancel a wider variety of noise sources, including transient sources, while preventing noise boosting artifacts when sources turn off.

Various implementations include a method of training a road noise cancelation (RNC) system for a vehicle, including: providing inputs to RNC system, the inputs obtained from: a set of ear-mounted microphones on a user, at least one transducer, an accelerometer, a set of cabin microphones in the vehicle, and a controller area network (CAN) bus, the inputs from the set of ear-mounted microphones on the user approximating a signal detected by the ears of the user; adapting a set of parameters in the RNC system defining an estimated signal detected at respective ears of the user based on the inputs; and generating at least one of the following for input during an operating mode of the RNC system: estimated ear microphone signals based on the adapted set of parameters, or a set of projection filters for use in determining an estimated ear signal at the respective ears of the user.

Microphone signals of a primary headphone are processed and either a first transparency mode of operation is activated or a second transparency mode of operation. In another aspect, a processor enters different configurations in response to estimated ambient acoustic noise being lower or higher than a threshold, wherein in a first configuration a transparency audio signal is adapted via target voice and wearer voice processing (TVWVP) of a microphone signal to boost detected speech frequencies in the transparency audio signal, and in a second configuration the TVWVP is controlled to, as the estimated ambient acoustic noise increases, reduce boosting of, or not boost at all, the detected speech frequencies in the transparency audio signal. Other aspects are also described and claimed.

A communications network for a vehicle comprising: a central processing node; a zonal node; an Ethernet network coupling the central processing node to the zonal node; and an edge network coupled to the zonal node, the edge network comprising a time domain multiplexing (TDM) bus and a plurality of edge transducers coupled to the TDM bus, wherein the zonal node comprises a network bridge for bridging transducer data received from the TDM bus to the Ethernet backbone network, wherein the network bridge comprises: interface circuitry for interfacing the network bridge with the TDM bus; clock recovery circuitry for recovering a clock signal for use by the edge network from an Ethernet frame received from the Ethernet network, wherein a TDM cycle of the TDM bus is synchronised to the recovered clock signal; acoustic data receiver circuitry coupled to the interface circuitry by a first low-latency data path, wherein the acoustic data receiver circuitry is configured to transmit acoustic data contained in Ethernet frames received at the network bridge from the Ethernet network to the interface circuitry; and acoustic data transmitter circuitry coupled to the interface circuitry by a second low-latency data path, wherein the acoustic data transmitter circuitry is configured to transmit Ethernet frames containing acoustic data received at the interface circuitry from the edge network to the Ethernet network.

An open-ear device performs active noise cancellation (ANC) for a user. A sensor located outside an ear of a user which does not occlude an ear canal of the ear and measures vibrational data indicative of a sound pressure level at a location outside the ear, or a level of pinna vibration of the user. A prediction pipeline generates a prediction of sound pressure within the ear canal using an individualized model, taking into account the measured vibrational data and the unique geometric shape of the user's head and pinna. This sound pressure prediction is used to generate audio instructions for rendering playback at an noise cancellation source, such as a bone conduction transducer and/or cartilage transducer, to perform ANC for the user by cancelling at least portion of the sound received at the ear canal.