A method is disclosed which includes receiving an incoming time-varying signal as ambient signal, applying a signal cancellation filter to the incoming time-varying signal to thereby generate an attenuated version of the incoming time-varying signal, selectively choosing one or more selected classes of signals to be broadcasted while other signals are to be attenuated, continually applying the incoming time-varying signal to a classifier to identify presence of the one or more selected classes in the incoming time-varying signal, adding a snippet of a pre-recorded signal associated with each of the identified classes to thereby generate a string of signal snippets associated with the identified classes, and repeating in a loop, combining the attenuated version of the received time-varying signal with the repeated string of signal snippets and broadcasting the combination.

The present discloser relates to a method for active noise cancellation. An example method includes: capturing an ambient sound to determine an ambient audio signal; and determining a working status, determining at least one corresponding wanted signal based on the working status, and then removing the at least one wanted signal from the ambient audio signal, to obtain a reference signal, where the wanted signal includes content of interest. The example method further includes determining a to-be-played signal based on the reference signal.

The embodiments of the disclosure provide a method for adjusting a noise cancellation mode, an electronic device, and a computer readable storage medium. The method includes: estimating a noise perception indicator corresponding to an environmental noise; and adjusting a noise cancellation mode of an wearable audio device according to the noise perception indicator.

A listening system includes one or more remote signal sources that generate one or more electronic signals, which correspond to sound in an ambient environment. A first ear microphone detects a first combination of audio signals including ambient sound and one or more propagated audio signals, corresponding to the one or more electronic signals, received at a first ear of a listener. The system includes first ear playback device and a processing device to apply a first set of audio filters including an audio filter to process a respective electronic signal of the one or more electronic signals with a first error signal, which is based on an output of the first ear microphone, to generate a first output signal to the first ear playback device, wherein acoustic cue components of the first output signal match corresponding acoustic cue components of the first combination of audio signals.

An acoustic signal cancellation system is configured to perform: (a) provide a user device, associated with the system, and an audio capture device. (b) receive at system a captured signal indicative of a captured acoustic signal. It's received at capture device, and comprises a second acoustic signal generated by a second device, external to user device. (c) receive, from external source, a reference signal, indicative of a content included in the second signal. (d) in a case that a content of reference signal and the content in second signal are not time-synchronized, generate a synchronized reference signal, based on reference signal. Content of synchronized reference signal and second signal content are time-synchronized. (e) perform acoustic signal cancelling of that portion of captured signal which corresponds to second signal, based on reference signal. Generate reduced signal. This facilitates output of reduced signal to third device.

An audio processing device includes: a sound level measuring circuit arranged to operably generate multiple sound level values, wherein the multiple sound level values respectively correspond to the sound levels generated by an audio playback device at multiple time points or the sound levels received by a microphone at multiple time points; an audio dose calculating circuit coupled with the sound level measuring circuit and arranged to operably generate an audio dose value corresponding to a measuring period based on the multiple sound level values and contents of a weighting table; a control circuit coupled with the audio dose calculating circuit and arranged to operably compare the audio dose value with a dose threshold to determine whether to generate a control signal or not; and an indication signal generating circuit coupled with the control circuit and arranged to operably generate a corresponding indication signal according to the control signal.

One disclosed example method includes a device receiving an audio signal recorded in a physical environment and applying a machine learning model onto the audio signal to generate an enhanced audio signal. The machine learning model is configured to simultaneously remove interference and distortion from the audio signal and is trained via a training process. The training process includes generating a training dataset by generating a clean audio signal and generating a noisy distorted audio signal based on the clean audio signal that includes both an interference and a distortion. The training further includes constructing the machine learning model as a generative adversarial network (GAN) model that includes a generator model and multiple discriminator models, and training the machine learning model using the training dataset to minimize a loss function defined based on the clean audio signal and the noisy distorted audio signal.

A method includes detecting an initial vocalization by a user in an environment including a primary device and a secondary device, analyzing the initial vocalization to determine whether a future vocalization is likely to contain sensitive information based on the initial vocalization where the future vocalization is a potential future vocalization, and controlling, based on determining that the future vocalization is likely to contain sensitive information, a speaker of the primary device to output a noise canceling signal configured to prevent the secondary device from detecting the future vocalization.

A method of determining an audio controller for a headphone that is configured to use an acoustic transducer to develop sound that is delivered to an ear of a user and that includes a feedback microphone that is configured to sense sound developed by the acoustic transducer, and a related computer program product and system. A first audio transfer function between the acoustic transducer and the feedback microphone is measured. A second audio transfer function between the acoustic transducer and the feedback microphone with a feedback controller applied is determined. The audio controller is calculated based on both the first audio transfer function and the second audio transfer function.

Systems and methods for interrupting disclosure of sensitive information are described. Sensitive information data associated with a user is maintained. A primary device detects commencement of a voice input to a secondary device. As the voice input is detected by the primary device, the voice input is analyzed to determine the content of the voice input. The content is compared to the sensitive information data to determine whether the voice input contains sensitive information. When the primary device determines the voice input contains sensitive information, a speaker of the primary device is controlled to generate a noise canceling signal which interrupts receipt of further sensitive information by the secondary device.