H04R25/507

Detecting Hair Interference for a Hearing Device
20220312126 · 2022-09-29 · ·

An exemplary hearing device includes a microphone configured to capture an audio signal and a processor communicatively coupled to the microphone. The processor may be configured to determine that the audio signal includes hair interference noise caused by hair movement associated with a user of the hearing device, and adjust, based on the determining that the audio signal includes the hair interference noise, an operation of the hearing device.

HEARING DEVICE COMPRISING AN OWN VOICE PROCESSOR

A hearing device, e.g. a hearing aid or a headset, configured to be worn at or in an ear of a user, the hearing device comprising at least one input transducer for converting a sound in an environment of the hearing device to at least one electric input signal representing said sound; an own voice detector configured to estimate whether or not, or with what probability, said sound originates from the voice of the user, and to provide an own voice control signal indicative thereof, a face mask detector configured to estimate whether or not, or with what probability, said user wears a face mask while speaking, and to provide face mask control signal indicative thereof. A method of operating a hearing device is further disclosed. Thereby an improved hearing aid or headset may be provided.

Sound classification system for hearing aids

A hearing aid includes a sound classification module to classify environmental sound sensed by a microphone. The sound classification module executes an advanced sound classification algorithm. The hearing aid then processes the sound according to the classification.

HEARING SYSTEM COMPRISING A HEARING AID AND A PROCESSING DEVICE

A hearing aid system configured to compensate for a hearing impairment of a use comprises A) a wearable device adapted for being worn by the user and comprising a1) an input stage comprising at least one input transducer for converting sound around the user to at least one electric input signal representing said sound, and a2) an input stage for providing stimuli representative of a processed version of said least one electric input signal to said user, said stimuli being perceivable by said user as sound; and B) a non-wearable device comprising b1) a processor, and b2) a power supply interface for providing power to the processor. The wearable device and the non-wearable device comprise respective transceiver circuitry for establishing a low latency wireless audio communication link between them. The processor of the non-wearable device comprises an audio processor configured to process said at least one electric input signal, or a signal originating therefrom, to at least partially compensate for the hearing impairment of the user and to provide said processed version thereof. The power supply interface of the non-wearable device is electrically connected to an electricity network. Thereby an improved processing power of a hearing aid may be provided. The invention may e.g. be used in flexible hearing aid systems with a situation-dependent configurable processing power.

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.

Method for operating a hearing instrument and a hearing system containing a hearing instrument

A method operates a hearing instrument that is worn in or at the ear of a user. The method includes capturing a sound signal from an environment of the hearing instrument; analyzing the captured sound signal to recognize own-voice intervals, in which the user speaks, and foreign-voice intervals, in which at least one different speaker speaks; and determining, from the recognized own-voice intervals and foreign-voice intervals, at least one turn-taking feature. From the at least one turn-taking feature a measure of the sound perception by the user is derived. Predefined action for improving the sound perception is taken if the measure or the at least one turn-taking feature fulfill a predefined criterion.

SYSTEMS AND METHODS FOR PROCESSING AUDIO AND VIDEO
20210390957 · 2021-12-16 · ·

System and methods for processing audio signals are disclosed. In one implementation, a system may include a microphone configured to capture sounds from an environment of a user; and at least one processor. The processor may be programmed to receive at least one audio signal representative of the sounds captured by the microphone; analyze the at least one audio signal to distinguish a plurality of voices in the at least one audio signal; transcribe at least a portion of speech associated with at least one voice in the plurality of voices; and cause at least a part of the transcribed portion to be displayed to the user via a display device.

HEARING AID SYSTEM WITH INTERNET PROTOCOL
20210377674 · 2021-12-02 · ·

A hearing aid system comprising at least a first hearing aid, wherein the first hearing aid is configured to establish a communication link over the internet with a remote entity based on a protocol stack, wherein the protocol stack includes an internet protocol, and the protocol stack is implemented in the first hearing aid.

DEEP LEARNING SPEAKER COMPENSATION
20220210555 · 2022-06-30 ·

A recurrent neural network is employed in a loudspeaker system to compensate the distortion of the system based upon a source signal (content) and the sensing output of a sensing circuit (context). A frequency domain transform is selected to provide mapping between the source signal and a recorded signal; and enable reconstruction of desirable playback. Various sensing-related features and source-related features are derived to serve as the auxiliary information. A desirable content is therefore generated based upon the original content and the context.

Systems and methods for speech separation and neural decoding of attentional selection in multi-speaker environments

Disclosed are devices, systems, apparatus, methods, products, and other implementations, including a method comprising obtaining, by a device, a combined sound signal for signals combined from multiple sound sources in an area in which a person is located, and applying, by the device, speech-separation processing (e.g., deep attractor network (DAN) processing, online DAN processing, LSTM-TasNet processing, Conv-TasNet processing), to the combined sound signal from the multiple sound sources to derive a plurality of separated signals that each contains signals corresponding to different groups of the multiple sound sources. The method further includes obtaining, by the device, neural signals for the person, the neural signals being indicative of one or more of the multiple sound sources the person is attentive to, and selecting one of the plurality of separated signals based on the obtained neural signals. The selected signal may then be processed (amplified, attenuated).