Abstract:
A method for feedback detection by an electronic device is described. The method includes receiving a first microphone signal by a first microphone. A feedback loop includes the first microphone and a speaker. The method also includes receiving a second microphone signal by a second microphone that is outside of the feedback loop. A first signal based on the first microphone signal and a second signal based on the second microphone signal exhibit a higher correlation in presence of feedback and exhibit a lower correlation in absence of feedback. The method further includes determining a correlation based on the first microphone signal and the second microphone signal. The method additionally includes determining whether feedback is occurring based on the correlation.
Abstract:
A method includes detecting an accessory device at a master device. The method also includes receiving, at the master device, active noise cancellation (ANC) coefficients associated with the accessory device in response to detecting the accessory device. The method also includes modifying audio content, at the master device, based on the ANC coefficients.
Abstract:
A headset in-use detector is disclosed. In an exemplary embodiment, an apparatus includes a detector configured to receive a sound signal and an echo signal and generate a detection signal, and a controller configured to determine whether or not a headset is in-use based on the detection signal.
Abstract:
A method includes detecting an accessory device at a master device. The method also includes receiving, at the master device, active noise cancellation (ANC) coefficients associated with the accessory device in response to detecting the accessory device. The method also includes modifying audio content, at the master device, based on the ANC coefficients.
Abstract:
A headset device includes a first earpiece configured to receive a reference sound and to generate a first reference audio signal based on the reference sound. The headset device further includes a second earpiece configured to receive the reference sound and to generate a second reference audio signal based on the reference sound. The headset device further includes a controller coupled to the first earpiece and to the second earpiece. The controller is configured to generate a first signal and a second signal based on a phase relationship between the first reference audio signal and the second reference audio signal. The controller is further configured to output the first signal to the first earpiece and output the second signal to the second earpiece.
Abstract:
A dual diaphragm microphone can be used to reduce or eliminate a component of the output signal due to acceleration of the microphone. The dual diaphragm microphone can include a first sound-detecting component including a first diaphragm spaced apart from a first electrode and configured to generate a first signal and a second sound-detecting component including a second diaphragm spaced apart from a second electrode and configured to generate a second signal. The first sound-detecting component and the second sound-detecting component are oriented in opposite directions and include electronic circuitry configured to sum the first and second output signals to generate a combined output signal substantially unaffected by acceleration of the microphone.
Abstract:
Techniques for robust estimation of a secondary path transfer function in an active noise cancellation (ANC) system are disclosed. The estimation techniques do not rely on a pilot signal. In addition, the techniques provide good approximations of secondary path transfer functions, and further, they can greatly reduce the risk of instability in feedback ANC systems. In one aspect, a secondary path transfer function estimation method includes receiving a first environmental signal (e.g., a reference microphone signal) and a second environmental signal (e.g., an error microphone signal) at an ANC system. The secondary path transfer function is then estimated based on the first environmental signal and the second environmental signal.
Abstract:
A method of audio signal processing includes determining a difference between a first set of filter parameters of a first input frame of an active noise cancellation (ANC) filter and a second set of filter parameters of a second input frame of the ANC filter. The method further includes selectively modifying a duty cycle of adaptive ANC processing associated with the ANC filter based on the difference between the first set of filter parameters and the second set of filter parameters.
Abstract:
An adaptive active noise cancellation apparatus performs a filtering operation in a first digital domain and performs adaptation of the filtering operation in a second digital domain.
Abstract:
A method for feedback detection by an electronic device is described. The method includes receiving a first microphone signal by a first microphone. A feedback loop includes the first microphone and a speaker. The method also includes receiving a second microphone signal by a second microphone that is outside of the feedback loop. A first signal based on the first microphone signal and a second signal based on the second microphone signal exhibit a higher correlation in presence of feedback and exhibit a lower correlation in absence of feedback. The method further includes determining a correlation based on the first microphone signal and the second microphone signal. The method additionally includes determining whether feedback is occurring based on the correlation.