H04R2225/43

Systems and Methods for Facilitating User Control of Ambient Sound Attenuation During an Audio Streaming Session
20230224648 · 2023-07-13 ·

An exemplary system includes a memory storing instructions and a processor communicatively coupled to the memory and configured to execute the instructions to determine that an audio streaming session is to be initiated in which an audio signal is streamed to a hearing device, provide, based on the determining that the audio streaming session is to be initiated, an option for a user to select an ambient sound attenuation setting for use by the hearing device during the audio streaming session, detect a selection by the user of the option; and direct, based on the user selecting the option, the hearing device to initiate the audio streaming session and attenuate, in accordance with the ambient sound attenuation setting, ambient sound during the audio streaming session.

Combination hearing aid and cochlear implant system
11697019 · 2023-07-11 · ·

Cochlear implant systems can comprise a cochlear implant system comprising a cochlear electrode, a stimulator, an input source, and an implantable battery and/or communication module. The signal processor may be programmed with a transfer function and be configured to receive input signals from the input source and output a stimulation signal to the stimulator based on the received input signals with the transfer function. The system may be configured to receive a status indicator signal indicative of whether an external auditory aid device is active and update the transfer function of the signal processor if the external auditory aid device is active. For example, the signal processor can operate programmed with a first transfer function if the external auditory aid device is not active and with a second transfer function if the external auditory aid device is active.

Hearing device with neural network-based microphone signal processing

A hearing system performs nonlinear processing of signals received from a plurality of microphones using a neural network to enhance a target signal in a noisy environment. In various embodiments, the neural network can be trained to improve a signal-to-noise ratio without causing substantial distortion of the target signal. An example of the target sound includes speech, and the neural network is used to improve speech intelligibility.

Hearing device or system for evaluating and selecting an external audio source
11553285 · 2023-01-10 · ·

A hearing system comprises a hearing device worn on the head, or fully or partially implanted in the head, of a user, and external audio transmitters. The hearing system allows wireless communication to be established between the hearing device and the audio transmitters. The hearing device comprises microphones providing respective electric input signals; a beamformer filter providing a beamformed signal from the electric input signals; and an output unit. The hearing system further comprises a selector/mixer for selecting and possibly mixing one or more of the electric input signals or the beamformed signal and external electric signals from the audio transmitters, and providing a current input sound signal based thereon for presentation to the user. The selector/mixer is controlled by a source selection processor, which determines the source selection control signal based on a comparison of the beamformed signal and the external electric sound signals or processed versions thereof.

METHODS FOR SYNTHESIS-BASED CLEAR HEARING UNDER NOISY CONDITIONS
20230217194 · 2023-07-06 ·

This invention provides a new and improved hearing aid system with high quality noise cancellation method and devices to overcome the limitations and difficulties encountered in conventional technologies. The technical limitations of the noise uncertainty and speech distortion in the hearing aid field are resolved by restoration of the high-quality speech by converting the speech content into an intermediate linguistic representation and by synthesizing the speech of the same speaker with pre-trained using artificial intelligence (AI) modules. In this invention, the noise uncertainties are circumvented by focusing on the target speaker or picking up the dominant speech by choosing the corresponding setting assuming the speech from the target speaker is the dominant speech based on the Lombard effect.

Hearing device comprising a recurrent neural network and a method of processing an audio signal

A hearing device, e.g. a hearing aid or a headset, configured to be worn by a comprises an input unit for providing at least one electric input signal in a time-frequency representation; and a signal processor comprising a target signal estimator for providing an estimate of the target signal; a noise estimator for providing an estimate of the noise; and a gain estimator for providing respective gain values in dependence of said target signal estimate and said noise estimate. The gain estimator comprises a trained neural network, wherein the outputs of the neural network comprise real or complex valued gains, or separate real valued gains and real valued phases. The signal processor is configured—at a given time instance t—to calculate changes Δx(i,t)=x(i,t)−{circumflex over (x)}(i,t−1), and Δh(j,t−1)=h(j,t−1)−ĥ(j,t−2) to an input vector x(t) and to the hidden state vector h(t−1), respectively, from one time instance, t−1, to the next, t, and where {circumflex over (x)}(i,t−1) and ĥ(j,t−2) are estimated values of x(i,t−1) and h(j,t−2), respectively, where indices i, j refers to the i.sup.th input neuron and the j.sup.th neuron of the hidden state, respectively, where 1≤i≤N.sub.ch,x and 1≤j≤N.sub.ch,oh, wherein N.sub.ch,x and N.sub.ch,oh is the number of processing channels of the input vector x and the hidden state vector h, respectively, and wherein the signal processor is further configured to provide that the number of updated channels among said N.sub.ch,x and said N.sub.ch,oh processing channels of the modified gated recurrent unit for said input vector x(t) and said hidden state vector h(t−1), respectively, at said given time instance t is limited to a number of peak values N.sub.p,x, and N.sub.p,oh, respectively, where N.sub.p,x is smaller than N.sub.ch,x, and N.sub.p,oh, is smaller than N.sub.ch,oh.

Hearing device comprising a keyword detector and an own voice detector and/or a transmitter

A hearing device, e.g. a hearing aid, is configured to be arranged at least partly on a user's head or at least partly implanted in a user's head. The hearing device comprises a) at least one input transducer for picking up an input sound signal from the environment and providing at least one electric input signal representing said input sound signal; b) a signal processor providing a processed signal based on one or more of said at least one electric input signals; c) an output unit for converting said processed signal or a signal originating therefrom to stimuli perceivable by said user as sound; d) a keyword spotting system comprising d1) a keyword detector configured to detect a limited number of predefined keywords or phrases or sounds in said at least one electric input signal or in a signal derived therefrom, and to provide a keyword indicator of whether or not, or with what probability, said keywords or phrases or sounds are detected, and d2) an own voice detector for providing an own voice indicator estimating whether or not, or with what probability, a given input sound signal originates from the voice of the user of the hearing device. The hearing device further comprises e) a controller configured to provide an own-voice-keyword indicator of whether or not or with what probability a given one of said keywords or phrases or sounds is currently detected and spoken by said user, said own-voice-keyword indicator being dependent on said keyword indicator and said own voice indicator.

Speech-Tracking Listening Device
20220417679 · 2022-12-29 ·

A system (20) includes a plurality of microphones (22), configured to generate different respective signals in response to acoustic waves (36) arriving at the microphones, and a processor (34). The processor is configured to receive the signals, to combine the signals into multiple channels, which correspond to different respective directions relative to the microphones by virtue of each channel representing any portion of the acoustic waves arriving from the corresponding direction with greater weight, relative to others of the directions, to calculate respective energy measures of the channels, to select one of the directions, in response to the energy measure for the channel corresponding to the selected direction passing one or more energy thresholds, and to output a combined signal representing the selected direction with greater weight, relative to others of the directions. Other embodiments are also described.

AUDIO FEEDBACK FOR CORRECTING SOUND DEGRADATION
20220417677 · 2022-12-29 · ·

A hearing aid system for generating processed audio signals may include at least one processor. The processor may be configured to receive an audio signal representative of the sounds captured by the at least one microphone; generate a processed audio signal based on analysis of the audio signal; determine a quality degradation of at least one aspect of the processed audio signal; and provide an auditory cue to the user indicating the quality degradation.

GENERATING AN AUDIO SIGNAL FROM MULTIPLE INPUTS
20220408200 · 2022-12-22 ·

A system, such as an ear-wearable device or a hearing aid, can receive multiple audio signals representing a same audio content, can cross-correlate the multiple audio signals to determine relative delays between the audio signals, can apply the determined delays to at least one of the audio signals to form multiple synchronized audio signals, and can mix at least two of the synchronized audio signals in time-varying proportions to form an output audio signal. The system can optionally adjust the mix proportions, in real time, to increase or optimize the signal-to-noise ratio of the output audio signal. The system can optionally perform the cross-correlation repeatedly, at regular or irregular time intervals, to update the relative delays. The system can optionally divide the audio signals into frequency bands, and apply these operations to each frequency band, independent of the other frequency bands.