A method for feedforward noise cancellation in an enclosed space within a structure is provided. The method comprises placing a microphone array inside an inner surface of the enclosed space and conducting modal testing on an outside surface of the enclosed space, wherein the modal testing comprises multiple incoherent noise sources corresponding to locations of microphones in the microphone array. Noise generated by the modal testing is processed to create a number of acoustic mathematical models of the enclosed space. In response to incoherent noise within the enclosed space, a noise canceling signal is generated according to an output of the mathematical models.

An active noise cancellation system includes a sensor operable to sense environmental noise and generate a corresponding reference signal, a fixed noise cancellation filter including a predetermined model of the active noise cancellation system operable to generate an anti-noise signal, and a tunable noise cancellation filter operable to modify the anti-noise signal in accordance with stored coefficients, wherein the tunable noise cancellation filter is further operable to modify the stored coefficients in real-time based on user feedback and generate a tuned anti-noise signal that models tunable deviations from the predetermined noise model. A graphical user interface is operable to receive user adjustments of tunable parameters in real-time, the tunable parameters corresponding to at least one of the stored coefficients.

An earphone adapted to fit within a human ear that generates sound via the propagation of one or more diaphragms aligned to fit the structure and shape of the earphone. The earphone allows ambient sound to pass through the device in order to be heard by the user. The earphone includes a variety of sensors adapted to characterize the surrounding acoustic environment and actively negate undesired sounds by generating a cancelling signal specific to the undesired sound or sounds. The earphone allows users to select particular sounds to cancel or to negate all of the surrounding noise. The earphone itself can be used to characterize repetitive environmental sounds that are predictable by the system. Additionally, the earphone can be used in conjunction with a buffering device in communication with a source of non-repetitive, unpredictable sounds in order to characterize and negate those sounds.

An apparatus for operating a noise suppression unit of a vehicle includes a control unit. The control unit is configured to reduce interfering noise in or on the vehicle by generating at least one acoustic compensation signal. The control unit is also configured to determine noise information relating to expected interfering noise, including an expected level of interfering noise, at an upcoming vehicle position while the vehicle is traveling. The control unit is also configured to cause the noise suppression unit to be activated or to be in an energy-saving mode at the upcoming vehicle position, depending on the noise information obtained.

An audio processing system may selectively identify certain environmental sounds and playing back these sounds, or a representation of these sounds, in the vehicle's cabin. The audio processing system may filter the environmental sounds to identify a particular sound that matches an event such as a bouncing ball, squealing tires, footsteps, and the like. The audio processing system may then provide an audio alert to an occupant in the vehicle. For example, the system may process the identified sound (e.g., amplify and/or isolate the sound) and use a speaker to output the processed sound into the interior of the vehicle. In another embodiment, the audio processing system may use environmental sounds as an audio masking sound for creating privacy zones within the vehicle. The audio processing system may filter the environmental sounds to identify a continuous sound which is then output to generate the privacy zones.

An active noise cancellation device for cancelling a primary acoustic path between a noise source and a microphone by an overlying secondary acoustic path between a canceling loudspeaker and the microphone, the device comprising: a first input for receiving a microphone signal from the microphone; wherein the first electrical compensation path and the second electrical compensation path are coupled in parallel between a first node and the first input to provide the first noise canceling signal for a feed-backward prediction of the noise source; wherein the third electrical compensation path and the fourth electrical compensation path are coupled in parallel between a second node and the first input to provide the second noise canceling signal for a feed-forward prediction of noise source.

A feedforward active noise cancellation system comprising one or more reference microphones, one or more loudspeakers, one or more error microphones, a first filter, and a second and adaptive filter. The first filter is configured to filter a first input signal to minimize a residual error. The second and adaptive filter comprises a linear predictor of speech. The second and adaptive filter is configured to filter a second input signal based on predicted speech to compensate for a processing delay and a second propagation delay exceeding a first propagation delay.

A noise filtering method is implemented by a terminal equipped with a microphone and with an audio output, the terminal connected to a communication network and used by a user equipped with a headset connected to the terminal. The method includes picking up, using the microphone, a first noise coming from a source, generating or not generating a second noise resulting from application of a filter to the first noise, rendering or not rendering the second noise to the user via the audio output and via the headset, and sending information relating to the first noise to at least another terminal connected to the network, this information used by at least the other terminal to filter the first noise.

Disclosed herein is a magnetic resonance imaging system (100) controlled by a processor (130). Execution of machine executable instructions causes the processor to receive a selection input of gradient coil pulse commands, to provide the selected commands and at least one value relating to a further parameter to a trained machine learning system (122), to receive from the machine learning system information as to anti-noise to be generated by a sound transducer (124, 129) to compensate for noise experienced at the ears of a subject (118) in the magnetic resonance imaging system. The machine executable instructions further cause the processor to control the magnetic resonance imaging system with the pulse sequence commands and the set of gradient coil pulse commands for acquisition of the imaging k-space data and to synchronized therewith operate the sound transducer for generating anti-noise using the information as output by the trained machine learning system.

An anti-noise headset device and a sound processing method thereof are provided. The anti-noise headset device includes an audio receiving module and a control module. The audio receiving module is configured to receive several audio signals in several periods. The control module is electrically coupled to the audio receiving module. The control module is configured to store the audio signals received from a first period to an Nth period as sound data. The control module compares the audio signal received in an (N+1)th period with the sound data so as to generate a relevance value, N is an integer larger than zero. When the relevance value is smaller than a threshold value, the control module filters out a portion of the audio signal received in the (N+1)th period, in which the portion of the audio signal received in the (N+1)th period is relevant to the sound data.