A method for representing a second presentation of audio channels or objects as a data stream, the method comprising the steps of: (a) providing a set of base signals, the base signals representing a first presentation of the audio channels or objects; (b) providing a set of transformation parameters, the transformation parameters intended to transform the first presentation into the second presentation; the transformation parameters further being specified for at least two frequency bands and including a set of multi-tap convolution matrix parameters for at least one of the frequency bands.

A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

The detection of a use status of an object. To ascertain the use status, i.e., the decision as to whether or not an object is presently in use, using sensor data of multiple sensors provided at the object. For this purpose, in particular, the individual results about the use status may be correlated with one another. When needed, additional sensors may be activated and incorporated in the evaluation.

This disclosure describes techniques that include aligning processing of audio samples collected by multiple audio sensors or microphones. In one example, this disclosure describes a method comprising detecting a transition by the second microphone from a disabled state to an enabled state; after detecting the transition, performing phase alignment between audio samples collected by the first microphone and audio samples collected by the second microphone by introducing a delay in starting processing of the audio samples collected by the second microphone; and processing the phase-aligned audio samples.

An electronic device includes one or more pose sensors for detecting a pose of a user of the electronic device relative to a first physical environment and is in communication with one or more audio output devices. While a first pose of the user meets first presentation criteria, the electronic device provides audio content at a first simulated spatial location relative to the user. The electronic device detects a change in the pose of the user from the first pose to a second pose. In response to detecting the change in the pose of the user, and in accordance with a determination that the second pose of the user does not meet the first presentation criteria, the electronic device provides audio content at a second simulated spatial location relative to the user that is different from the first simulated spatial location.

An earbud includes a housing that includes a driver assembly positioned within the housing forming a front volume in front of the driver and a back volume behind the driver. An acoustic insert is positioned behind the driver assembly and attached to an interior surface of the housing such that it forms a bass channel that is routed from the back volume to a vent in the housing.

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.

A method for off-loading tasks between a set of wireless earpieces in an embodiment of the present invention may have one or more of the following steps: (a) monitoring battery levels of the set of wireless earpieces, (b) determining the first wireless earpiece battery level and the second wireless battery level, (c) communicating the battery levels of each wireless earpiece to the other wireless earpiece of the set of wireless earpieces, (d) assigning a first task involving one or more of the following: computing tasks, background tasks, audio processing tasks, and sensor data analysis tasks from one of the set of wireless earpieces to the other wireless earpiece if the battery level of the one of the set of wireless earpieces falls below a critical threshold, (e) communicating data for use in performing a second task to the other wireless earpiece if the second task is communicated to the first wireless earpiece.

An audio data transmission method and apparatus for a wireless earphone, and a storage medium and a terminal are provided. A play mode adopted by the wireless earphone includes a first play mode and a second play mode, and the method includes: determining whether the first play mode currently adopted by the wireless earphone satisfies a transmission bandwidth required by to-be-played audio data at least based on parameter information of the to-be-played audio data; and based on the first play mode not satisfying the transmission bandwidth required by the to-be-played audio data, transmitting the to-be-played audio data through a connection channel corresponding to the second play mode.

A method of operating a hearing assistive device having a rechargeable battery, and comprises reading battery status data from a battery controller during use of the hearing assistive device, transferring the battery status data wirelessly from the hearing assistive device to a computing device and predicting, in the computing device, a remaining battery time for the rechargeable battery based upon the battery status data received. Once the remaining battery time is predicted, it is compared with a predefined use pattern for hearing assistive device and a user becomes notified if a conflict between the remaining battery time and the predefined use pattern is observed.