Examples of the disclosure describe systems and methods for reducing audio effects of fan noise, specifically, for a wearable system. A method wherein operating a fan of a wearable head device; detecting, with a microphone of the wearable head device, noise generated by the fan; generating a fan reference signal, wherein the fan reference signal represents at least one of a speed of the fan, a mode of the fan, a power output of the fan, and a phase of the fan; deriving a transfer function based on the fan reference signal and based further on the detected noise of the fan; generating a compensation signal based on the transfer function; and while operating the fan of the wearable head device, outputting, by a speaker of the wearable head device, an anti-noise signal, wherein the anti-noise signal is based on the compensation signal.

Techniques for automatic parameter tuning of active road noise cancellation systems are described herein. The system can automatically search for an optimal set of algorithm parameters based on recorded data. An active road noise cancellation algorithm and simulation can be embedded in an auto-differentiation framework, which allows gradients of the algorithm parameters to guide the automatic search and calculations of the algorithm parameters.

Systems and methods for reducing vibrations perceived by a human due to an artificial heart valve include a vest that is wearable around a torso of the human, a plurality of sensors mounted to the vest, a plurality of vibration-generating actuators mounted to the vest, and a controller. The plurality of sensors detects vibrations in the human generated by the artificial heart valve. The controller is operable to receive signals representing the detected vibrations from the plurality of sensors, and is operable to produce anti-vibration signals that substantially attenuate the detected vibrations. A first sensor of the plurality of sensors is located near a first vibration-generating actuator of the plurality of vibration-generating actuators to form a sensor/actuator set. In the sensor/actuator set, the anti-vibration signals generated by the controller for the first vibration-generating actuator correspond to the vibrations detected by the first sensor.

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.

Audio output signals and audio cancellation output signals are generated based on source audio signals. Audio speakers are driven with the audio output signals to generate audio output sound waves that are propagated to a specific audience area. Audio cancellation speakers are driven with the audio cancellation output signals to generate audio cancellation output sound waves. The audio cancellation output sound waves reduce, in non-audience areas, a sound dispersion caused by the audio output sound waves. The audio output signals or the audio cancellation output signals are adjusted in real time in response to sensor based control signals. The sensor based control signals are generated from real time sensor data acquired by and collected from physical sensors deployed in a space including the specific audience area and the non-audience areas.