Systems and methods for communicating information related to a wearable device are disclosed. Exemplary information includes audio information.

Systems and methods for communicating information related to a wearable device are disclosed. Exemplary information includes audio information.

Systems and methods for communicating information related to a wearable device are disclosed. Exemplary information includes audio information.

An apparatus includes a hybrid adaptive active noise control unit (HAANCU) configured to provide an anti-noise signal to an ear speaker from a reference noise signal of a reference microphone and an error signal of an error microphone, a decimator configured to decimate the reference noise signal and error signal, an adaptive hybrid ANC training unit (AHANCTU) including at least one noise cancellation filter and a filter configured to provide a feedback signal to the at least one noise cancellation, which trains parameters of the AHANCTU based on the decimated reference noise signal, the decimated error signal, and the feedback signal. The apparatus further includes a rate conversion unit configured to up-sample the parameters and update the HAANCU with the up-sampled parameters.

A method for reducing noise in at least one monitor position in a vehicle compartment by actively controlling the power of a primary noise (d.sub.m(t)) as sensed at two or more control positions in the vehicle compartment, the method comprising the updating of filter coefficient(s) of (an) adaptive filter(s) (w(n)) based on variable contribution of error sensors and actuator(s) for different noise source operating conditions.

A networked speaker system includes plural speaker assemblies around the perimeter of a space with sound axes oriented up and inward into the space. Each speaker assembly includes an audio transducer to output demanded sound and a noise cancelation transducer which is driven to cancel sound from other speaker assemblies in the space based on signals from a microphone on the speaker assembly and location and device information from the other speaker assemblies.

A method and device for noise-reduction processing and an earphone are disclosed. The method includes: collecting an environmental-sound signal by using a feedforward microphone to acquire amplitude information and spectrum information of the environmental-sound signal; performing feedforward noise-reduction processing on the environmental-sound signal according to the amplitude information of the environmental-sound signal, and extracting a sound signal having a specified frequency in the environmental-sound signal according to the spectrum information of the environmental-sound signal; and outputting the sound signal having the specified frequency together with the signal after being feedforward noise-reduction processed. The present disclosure can realize the monitoring of the valuable sound signal having a specified frequency in the environmental-sound signal.

An apparatus includes a sensor module configured for receiving sensed information indicative of a sensed signal. The sensed signal includes a source signal component and a source noise component. The apparatus also includes a reference module configured for reference information indicative of a reference signal. The reference signal also includes a reference noise component. The apparatus also includes a filter module configured as a fixed lag Kalman smoother. The filter module is configured for adaptively filtering the reference signal to generate an estimate of the source noise component. The apparatus also includes a processing module configured for calculating an output signal based on the sensed signal and the estimate of the source noise component. The apparatus also includes an interface module configured for transmitting an indication of the output signal. The filter module is further configured for, based on the output signal, tuning the Kalman smoother.

A noise cancellation system for a noise cancellation enabled audio device comprises a first noise filter and a second noise filter, each being designed to process a noise signal, a combiner and an adaptation engine. The first noise filter has a first fixed frequency response matched to a high leakage condition of the audio device. The second noise filter has a second fixed frequency response matched to a low leakage condition of the audio device. The combiner is configured to provide a compensation signal based on a combination of an output of the first noise filter amplified with a first adjustable gain factor and an output of the second noise filter amplified with a second adjustable gain factor. The adaptation engine is configured to estimate a leakage condition of the audio device based on an error noise signal and to adjust at least one of the first and the second adjustable gain factors based on the estimated leakage condition.

An apparatus includes a hybrid adaptive active noise control unit (HAANCU) configured to provide an anti-noise signal to an ear speaker from a reference noise signal of a reference microphone and an error signal of an error microphone, a decimator configured to decimate the reference noise signal and error signal, an adaptive hybrid ANC training unit (AHANCTU) including at least one noise cancellation filter and a filter configured to provide a feedback signal to the at least one noise cancellation, which trains parameters of the AHANCTU based on the decimated reference noise signal, the decimated error signal, and the feedback signal. The apparatus further includes a rate conversion unit configured to up-sample the parameters and update the HAANCU with the up-sampled parameters.