According to an embodiment, a sound emitting apparatus includes a helical hollow tube and at least three sound wave sources. The helical hollow tube helically extends in a circumferential direction to form an annular shape as a whole. The first helical hollow tube includes a plurality of openings. The at least three sound wave sources are coupled to the first helical hollow tube and are configured to supply a sound wave to the first helical hollow tube.

An electronic system includes a fan module, an embedded controller, a reference microphone, an error microphone, an active noise cancellation controller, and a micro speaker module. The reference microphone is configured to output a wide-band noise signal associated with the operation of the fan module. The error microphone is configured to output an error signal by detecting the noise level during the operation of the electronic system. According to the wide-band noise signal, the error signal and the fan information provided by the embedded controller, the active noise cancellation controller calculates the narrow-band noises and the wide-band noises generated by the fan module, and drives the micro speaker module accordingly for providing a noise cancellation signal. The error signal may be reduced to zero by adaptively adjusting the noise cancellation signal for canceling the noises generated during the operation of the electronic system.

The present invention relates to an active noise cancellation integrated circuit for stacking multiple anti-noise signals, an associated method, and an active noise cancellation headphone using the same. The method is applicable to an audio playback device with multiple ANC filtering units. The method includes: acquiring an anti-noise signal from an ANC filtering unit; generating a decoupled signal by processing the anti-noise signal with the transfer function of a physical channel and operations of other ANC filtering units; performing a signal superposition, wherein an anti-noise signal from another ANC filtering unit is superposed with the decoupled signal; and performing an audio playback based on the superposed signal and an audio signal such that noise is eliminated.

Disclosed herein is a system for facilitating stress adaption in a workstation. Accordingly, the system may include microphones disposed on the workstation. Further, the one or more microphones may be configured for generating first sound signals of first sounds associated with an environment of the workstation. Further, the system may include a processing device communicatively coupled with the microphones. Further, the processing device may be configured for analyzing the first sound signals, determining first sound characteristics of the first sounds, determining second sound characteristics of second sounds, and generating second sound signals for the one or more second sounds. Further, the system may include acoustic devices disposed on the workstation. Further, the acoustic devices may be communicatively coupled with the processing device. Further, the acoustic devices may be configured for emitting the second sounds based on the second sound signals. Further, the second sounds destructively interfere with the first sounds.

A first input signal captured by one or more sensors associated with an ANR headphone is received. A frequency domain representation of the first input signal is computed for a set of discrete frequencies, based on which a set of parameters is generated for a digital filter disposed in an ANR signal flow path of the ANR headphone, the set of parameters being such that a loop gain of the ANR signal flow path substantially matches a target loop gain. Generating the set of parameters comprises: adjusting a response of the digital filter at frequencies (e.g., spanning between 200 Hz-5 kHz). A response of at least 3 second order sections of the digital filter is adjusted. A second input signal in the ANR signal flow path is processed using the generated set of parameters to generate an output signal for driving the electroacoustic transducer of the ANR headphone.

Embodiments of active noise control (ANC) headphones and operating methods thereof are disclosed herein. In one example, a headphone includes a speaker, an internal microphone, and a processor. The speaker is configured to play an audio of interest based on an audio source signal. The internal microphone is configured to obtain a mixed audio signal including a noise signal and the audio of interest played by the speaker. The processor is configured to determine a first current system parameter of the headphone based on the mixed audio signal at a first time point, and determine if the first current system parameter of the headphone is higher than a predetermined threshold to determine if the headphone is worn by a user.

The present disclosure provides a method and an apparatus for noise reduction, and a headset. The method of noise reduction includes: acquiring a first reference noise signal; acquiring an initial direction of desired speech in response to a trigger signal; acquiring a real-time direction of desired speech based on a real-time orientation of the headset and the initial direction of desired speech, the real-time orientation being obtained by orientation tracking for the headset; filtering out a desired speech signal from the first reference noise signal to acquire an undesired noise signal, the desired speech signal being extracted in the real-time direction of desired speech; and filtering the undesired noise signal to output an inverse noise signal for speaker playback. Thus, using the method of noise reduction, not only the undesired noise in the ambient noise can be cancelled, but also the desired speech signal can be retained.

The overall performance of an ANC system may be improved by configuring the ANC system to perform adaption in the frequency domain. The ANC systems may be configured to update an algorithm of an adaptive filter based, at least in part, on the first input signal, the second input signal, and a feedback signal that is based on an output of the adaptive filter. Updating may include changing parameters of the algorithm based on a SDR based, at least in part, on the first input signal. Updating may also include normalizing a step size and processing at least full band information for the input signal in a frequency domain to generate coefficient values for the algorithm. Updating may also include applying a frequency domain magnitude constraint on adaptive filter coefficients.

A noise control system comprises a feedforward module, a feedback module, an error pre-processing module, and a signal integrating module. The feedforward module is configured to receive a reference signal and output a feedforward anti-noise signal by performing feedforward processing to the reference signal. The feedback module is configured to receive an error signal and output a feedback anti-noise signal by performing feedback processing to the error signal. The error pre-processing module is configured to receive the error signal and output a first pre-processing signal to the feedforward module and a second pre-processing signal to the feedback module. The signal integrating module is configured to output an integrated anti-noise signal integrated from the feedforward anti-noise signal and the feedback anti-noise signal. Wherein the first pre-processing signal corresponds to the first part of the error signal which belongs to the first frequency region; the second pre-processing signal corresponds to the second part of the error signal which belongs to the second frequency region.

Acoustic echo cancellation systems and methods are provided that can generate a continuous mask value that can be used as a gain of a non-linear processor. Communication between a loudspeaker and the non-linear processor can be utilized to adjust the threshold of the non-linear processor when the loudspeaker is active to assist in suppressing far end single talk leakage. The systems and methods can improve the removal of residual echo and therefore enhance the overall performance of the acoustic echo cancellation system.