Patent classifications
G10K11/17827
Active noise cancellation in audio output device
An audio output device controls the application of active noise cancellation (ANC) levels based on a current status of the device. The audio output device includes a communication interface configured to provide a wired or wireless connection to a playback device, a signal detector configured to detect an audio signal provided through the communication interface, an ANC module configured to apply a first-level ANC to the audio signal, and a control unit configured to determine a level of the ANC to be applied by the ANC module. Upon determining that the audio signal is not provided based on information provided from at least one of the communication interface or the signal detector, the control unit instructs the ANC module to perform a second-level ANC.
SELF-CONFIGURATION OF A DEVICE IMPLEMENTING AN AMBIENT NOISE CANCELLATION MECHANISM
A device has a standard female audio connector that is capable of receiving four-pole male connectors and three-pole male connectors and implements: means (CTRL, VCC, S1) for selectively transmitting a DC power supply signal via a first pin (DP1) of said connector; means (CTRL, ANC) for selectively activating a cancellation mechanism for ambient noise from digital audio signals that are intended to be received, via the first pin, in a manner superimposed on said DC power supply signal; means (CTRL, MIF) for selectively transmitting via a second pin of said connector, in a manner superimposed on said audio signals, a timing clock that is intended for digital microphones (DML, DMR) or other sensors; means (CTRL) for configuring itself vis-à-vis the DC power supply signal, the ambient noise cancellation mechanism and the timing clock, according to a determined type of listening device that is effectively connected via said connector.
ELECTROSTATIC EARPHONE WITH ADJUSTABLE ACOUSTIC TRANSPARENCY
An electrostatic transducer including a membrane, a first electrode and a second electrode. The first electrode is disposed parallel to the membrane. The membrane is configured to respond mechanically to a varying first electric field in accordance with respective electric potentials applied between the first electrode and the membrane. The second electrode is disposed parallel to the membrane opposite from the first electrode. The membrane is configured to respond mechanically to a varying second electric field in accordance with respective electric potentials between the second electrode and the membrane. The first and second electrodes have through holes configured for acoustic transmission to and from the membrane. The housing includes: (i) a nozzle configured for acoustic transmission from the membrane through the holes of the first electrode to an ear canal and (ii) an aperture configured to provide acoustic transmission through the holes of the second electrode between the membrane and air external to the housing.
Modular in-ear device
An in-ear device includes a molding shaped to hold the in-ear device in an ear, and an audio package configured to emit sound. The audio package is structured to removably attach to the molding. An electronics package is structured to removably couple to the audio package and removably attach to the molding. The electronics package includes a controller to control the sound output from the audio package.
Method for operating a hearing device capable of active occlusion control and a hearing device with user adjustable active occlusion control
A method for operating a hearing device for being worn at least partially within an ear canal of a user, including an ear canal microphone, a filtering unit and an electrical-to-acoustical converter, capable of active occlusion control (AOC) and allowing the user to adjust the AOC functionality according to his or her preferences. The method includes picking up an ear canal internal sound at the microphone which provides a signal representative of the internal sound, filtering the signal with the filtering unit to reduce a perceived level of body sounds produced by the user, providing the filtered signal to the converter which outputs sound into the ear canal, and changing at least one setting or parameter of the filtering unit in dependence of a control signal, wherein the control signal is initiated by the user. Moreover, a hearing device adapted to perform the method is provided.
Downlink tone detection and adaptation of a secondary path response model in an adaptive noise canceling system
An adaptive noise canceling (ANC) circuit adaptively generates an anti-noise signal from a reference microphone signal that is injected into the speaker or other transducer output to cause cancellation of ambient audio sounds. An error microphone proximate the speaker provides an error signal. A secondary path estimating adaptive filter estimates the electro-acoustical path from the noise canceling circuit through the transducer so that source audio can be removed from the error signal. Tones in the source audio, such as remote ringtones, present in downlink audio during initiation of a telephone call, are detected by a tone detector using accumulated tone persistence and non-silence hangover counting, and adaptation of the secondary path estimating adaptive filter is halted to prevent adapting to the tones. Adaptation of the adaptive filters is then sequenced so any disruption of the secondary path adaptive filter response is removed before allowing the anti-noise generating filter to adapt.
Source audio acoustic leakage detection and management in an adaptive noise canceling system
A personal audio device, such as a wireless telephone, includes an adaptive noise canceling (ANC) circuit that adaptively generates an anti-noise signal from a reference microphone signal and injects the anti-noise signal into the speaker or other transducer output to cause cancellation of ambient audio sounds. An error microphone is also provided proximate to the speaker to provide an error signal indicative of the effectiveness of the noise cancellation. A secondary path estimating adaptive filter is used to estimate the electro-acoustical path from the noise canceling circuit through the transducer so that source audio can be removed from the error signal. A level of the source audio with respect to the ambient audio is determined to determine whether the system may generate erroneous anti-noise and/or become unstable.
METHOD AND DEVICE FOR ACUTE SOUND DETECTION AND REPRODUCTION
Earpieces and methods for acute sound detection and reproduction are provided. A method can include measuring an external ambient sound level (xASL), monitoring a change in the xASL for detecting an acute sound, estimating a proximity of the acute sound, and upon detecting the acute sound and its proximity, reproducing the acute sound within an ear canal, where the ear canal is at least partially occluded by an earpiece. Other embodiments are disclosed.
Automatic equalization for consistent headphone playback
Automatic equalization for consistent headphone may take place in a playback mode of operation in which ANC is turned off and there is no direct feedback from an internal microphone (to the input of a speaker). An automatic user content equalization process is active during that mode of operation which adapts a filter AEQ to restore a flat or other desired frequency response at the output of the speaker despite variation in headphone fit. An estimate of a transfer function of a path S is determined, wherein the path S is from i) the input of the speaker of the headphone to the internal microphone signal. The filter AEQ is adapted based on the estimate of the transfer function of the path S while it filters user content audio that drives the input of the speaker of the headphone. Other embodiments are also described and claimed.
AI-ASSISTED DETECTION AND PREVENTION OF UNWANTED NOISE
A signal representing a sound can be received. A machine learning model can be run to identify that the sound triggers a reaction in a user hearing the sound. A preventive action can be automatically activated to mitigate the reaction. The user's reactions can be monitored. Responsive to determining that the user's reaction has been mitigated or suppressed, the preventive action can be deactivated. The machine learning model can be retrained using at least the signal as new training data.