Abstract:
Various embodiments of a hearing device including an image sensor are disclosed. The hearing device can include a housing, a user sensory interface connected to the housing, an image sensor connected to the housing, and an acoustic sensor connected to the housing. The device can also include a processor that is adapted to process image data from the image sensor to identify an image object, process acoustic data from the acoustic sensor, and determine a spatial location of the image object based upon at least one of the processed image data and the processed acoustic data. The processor can also be adapted to provide the spatial location to the user sensory interface, which can provide a sensory stimulus to the user that is representative of the spatial location of the image object.
Abstract:
In various embodiments, a system is used to provide an apparatus configured to measure sound in an ear canal of a wearer's ear at a distance from a tympanic membrane of the ear. The sound is measured and received by the apparatus to produce a signal. A frequency analysis is performed on the signal to determine output as a function of the frequency and to determine the frequency of the minima (null). Further, a distance equal to a quarter wavelength of the null frequency is calculated. A correction factor associated with the quarter wavelength is retrieved and applied to the output to generate a corrected output. An estimated sound pressure level at the tympanic membrane from the corrected output is produced.
Abstract:
An audio input signal is digitized via circuitry of an ear-wearable device. An adaptive feedback canceller has an adaptive filter producing an output that is inserted into the digitized audio input signal to cancel feedback. A motion detector provides a motion signal indicative of motion of the ear-wearable device. A processor is operable to determine a change in a feedback path based on the motion signal. The processor causes the adaptive filter to have faster adaption in response to the change in the feedback path is above a first threshold. The processor also causes the adaptive filter to have slower adaption in response to the change in the feedback path being below a second threshold.
Abstract:
An ear-wearable electronic device is operable to apply a low-pass filter to the digitized voice signal to remove a high-frequency component and obtain a low-frequency component. Speech enhancement is applied to the low-frequency component. Blind bandwidth extension is applied to the enhanced low-frequency component to recover or synthesize an estimate of at least part of the high frequency component. An enhanced speech signal is output that is a combination of the enhanced low-frequency component and the bandwidth-extended high frequency component.
Abstract:
Various embodiments of a hearing device including an image sensor are disclosed. The hearing device can include a housing, a user sensory interface connected to the housing, an image sensor connected to the housing, and an acoustic sensor connected to the housing. The device can also include a processor that is adapted to process image data from the image sensor to identify an image object, process acoustic data from the acoustic sensor, and determine a spatial location of the image object based upon at least one of the processed image data and the processed acoustic data. The processor can also be adapted to provide the spatial location to the user sensory interface, which can provide a sensory stimulus to the user that is representative of the spatial location of the image object.
Abstract:
A system includes a mobile device that receives an audio signal from a microphone of the mobile device. The mobile device processes the audio signal via a neural network to obtain a speech-enhanced audio signal. The system includes an ear-wearable device comprising a data interface operable to communicate with the external data interface of the mobile device. The ear-wearable device includes an audio processing path coupled to the data interface and is operable to receive the speech-enhanced audio signal and reproduce the speech-enhanced audio in an ear of a user.
Abstract:
A system comprises an ear-worn electronic device configured to be worn by a wearer. The ear-worn electronic device comprises a processor and memory coupled to the processor. The memory is configured to store an annoying sound dictionary representative of a plurality of annoying sounds pre-identified by the wearer. A microphone is coupled to the processor and configured to monitor an acoustic environment of the wearer. A speaker or a receiver is coupled to the processor. The processor is configured to identify different background noises present in the acoustic environment, determine which of the background noises correspond to one or more of the plurality of annoying sounds, and attenuate the one or more annoying sounds in an output signal provided to the speaker or receiver.
Abstract:
A system and method of determining a filter to cancel feedback signals from input signals in a hearing assistance device includes determining feedback signals for a plurality of feedback paths associated with the device, and determining a model of the plurality of feedback paths, with the model having an invariant portion and a time varying portion. A probable structure of the invariant portion is determined to generate a structural constraint to constrain the plurality of feedback paths, and probability distributions to impose the structural constraint on the invariant portion are determined. During an iterative process, the invariant portion is iteratively determined using the determined probability distributions and the feedback path measurements. A measurement noise variance representative of model mismatch is updated, for each iteration, to reduce a probability of a non-desirable determination of an invariant filter, and the invariant filter is determined in response to a criterion for ending the iterative process being satisfied.
Abstract:
A computing device is described that obtains a representation of a target ear canal of a user. Using a machine-learned model that has been trained based at least in part on representations of previously fabricated ear-wearable devices, the computing device generates a representation of an ear-wearable device for the target ear canal.
Abstract:
A system and method of determining a filter to cancel feedback signals from input signals in a hearing assistance device includes determining feedback signals for a plurality of feedback paths associated with the device, and determining a model of the plurality of feedback paths, with the model having an invariant portion and a time varying portion. A probable structure of the invariant portion is determined to generate a structural constraint to constrain the plurality of feedback paths, and probability distributions to impose the structural constraint on the invariant portion are determined. During an iterative process, the invariant portion is iteratively determined using the determined probability distributions and the feedback path measurements. A measurement noise variance representative of model mismatch is updated, for each iteration, to reduce a probability of a non-desirable determination of an invariant filter, and the invariant filter is determined in response to a criterion for ending the iterative process being satisfied.