A hearing system contains a hearing instrument and the hearing instrument is configured to support the hearing of a hearing-impaired user. The hearing instrument is operated via an operating method. The method includes capturing a sound signal from an environment of the hearing instrument, processing the captured sound signal to at least partially compensate the hearing-impairment of the user and outputting the processed sound signal to the user. The captured sound signal is analyzed to recognize speech intervals, in which the captured sound signal contains speech. During recognized speech intervals, at least one time derivative of an amplitude and/or a pitch of the captured sound signal is determined. The amplitude of the processed sound signal is temporarily increased, if the at least one derivative fulfills a predefined criterion.

A hearing aid system comprises a hearing aid, and a portable auxiliary device' adapted to establish a communication link between them. The hearing aid comprises a microphone providing an electric input signal, a signal processor, and an output unit. The auxiliary device comprises a microphone providing an auxiliary electric input signal, and a user control interface allowing a user to initiate a specific calibration mode of operation of the hearing aid system. The signal processor of the hearing aid is configured to receive corresponding time segments of said electric input signal and said auxiliary electric input signal to provide an estimate of an acoustic transfer function from said microphone of said auxiliary device to said microphone of said hearing aid. A method of operating a hearing aid system is further disclosed. The invention may e.g. be used in various applications related to own voice detection and estimation.

A hearing device directly or indirectly connected to a server through a network, the hearing device being provided with: an input unit that acquires sound data from the outside; a communication unit that transmits the sound data to the server, and receives a parameter set generated on the basis of the analysis result obtained by analyzing the sound data in the server; a storage unit that stores the parameter set; and an adjustment unit that, on the basis of the parameter set, adjusts gains of a plurality of prescribed frequencies.

An ear-worn electronic device comprises at least one microphone configured to sense sound in an acoustic environment, an acoustic transducer, and a non-volatile memory configured to store a plurality of parameter value sets, each of the parameter value sets associated with a different acoustic environment. A control input is configured to receive a control input signal produced by at least one of a user-actuatable control of the ear-worn electronic device and an external electronic device communicatively coupled to the ear-worn electronic device in response to a user action. A processor is operably coupled to the microphone, the acoustic transducer, the non-volatile memory, and the control input. The processor is configured to classify the acoustic environment using the sensed sound and apply, in response to the control input signal, one of the parameter value sets appropriate for the classification.

Various implementations include systems for processing audio signals to remove artifacts introduced by a machine learning system in challenging environments. In particular implementations, a method includes generating a processed audio signal for a hearing assistance device in which the processed audio signal is intended to perceptually dominate a user auditory experience, including: processing an unprocessed audio signal received by the hearing assistance device, wherein the processing includes utilizing a machine learning (ML) system to generate an ML enhanced audio signal; determining a mixing coefficient from an environmental noise assessment; mixing the ML enhanced audio signal with the unprocessed audio signal using the mixing coefficient to generate the processed audio signal; and outputting the processed audio signal.

A method for personalized sound modification, with a personal sound system having a microphone; a user device which includes a processor, computer readable medium, and optionally the microphone; and a sound output device; is provided. The method includes: providing a user hearing profile including lower and upper limits of the user's auditory dynamic range at a plurality of sound frequencies, prepared with the personal sound system; receiving a sound signal from the microphone; optionally separating the sound signal into a plurality of frequency channels; amplifying or attenuating sound frequencies in the sound signal which have a volume level outside the lower or upper limits of the user's auditory dynamic range, respectively, and forming a modified sound signal with which the sound output device will produce sounds within the user's auditory dynamic range; and providing the modified sound signal to the sound output device.

A method of audio signal processing comprising Hybrid Expansive Frequency Compression (hEFC) via a digital signal processor, wherein the method includes: classifying an audio signal input, wherein the audio signal input includes frication high-frequency speech energy, into two or more speech sound classes followed by selecting a form of input-dependent frequency remapping function; and performing hEFC including, re-coding of one or more input frequencies of the speech sound via the input-dependent frequency remapping function to generate an audio output signal, wherein the output signal is a representation of the audio signal input having a lower sound frequency.

A hearing aid comprises a) an input transducer; b) an output transducer; c) an input buffer connected to the input transducer configured to store audio data representing one or more time segments of an electric input signal; d) an own voice detector for providing an own voice control signal, and e) a combiner allowing to insert audio data from the input buffer in a forward audio signal path. The hearing aid further comprises f) an input controller configured to control storage of a time segment of the electric input signal in dependence of said own voice control signal; and g) an output controller configured to select audio data from said one or more time segments of the electric input signal currently stored in the input buffer for insertion in the forward path in dependence of an output control signal originating from the user.

A hearing device, e.g. a hearing aid, comprises a) a multitude of input units, each providing an electric input signal representing sound in the environment of the user in a time-frequency representation, wherein the sound is a mixture of speech and additive noise or other distortions, e.g. reverberation, b) a multitude of beamformer filtering units, each being configured to receive at least two, e.g. all, of said multitude of electric input signals, each of said multitude of beamformer filtering units being configured to provide a beamformed signal representative of the sound in a different one of a multitude of spatial segments, e.g. spatial cells, around the user, c) a multitude of speech probability estimators each configured to receive the beamformed signal for a particular spatial segment and to estimate a probability that said particular spatial segment contains speech at a given point in time and frequency, wherein at least one, e.g. all, of the multitude of speech probability estimators is/are implemented as a trained neural network, e.g. a deep neural network. The invention may e.g. be used in hearing aids or communication devices, such as headsets, or telephones, or speaker phones.

A hearing aid is configured to be worn in and/or at an ear of a user, and comprises a) an input transducer for converting an input sound to an electric input signal representing sound, h) an output transducer for converting a processed electric output signal to an output sound, c) a signal processor operationally coupled to the input and output transducers and configured to apply a forward gain to the electric input signal or a signal originating therefrom, wherein the input transducer, the signal processor and the output transducer forming part of a forward path of the hearing aid. The hearing aid further comprises d) a feedback control system for compensating for acoustic or mechanical feedback of an external feedback path from the output transducer to the input transducer, wherein the feedback control system comprises i) a feedback estimation unit for providing a feedback estimate signal of said external feedback path, ii) a combination unit located in the forward path for combining the electric input signal or a signal derived therefrom and the feedback signal detected by said estimation unit, to provide a resulting feedback corrected signal, iii) a correlation detection unit configured to determine a correlation measure between said feedback corrected signal and said output signal, said correlation detection unit further configured to provide a processed version of said correlation measure.