Abstract: A method for calculating gain in a hearing aid includes: recording electrical activity of the brain in response to a sound signal, computing a temporal response function based on the recorded activity, comparing the computed temporal response function with a template temporal response function, and calculating a gain in the hearing aid based on the difference between the computed temporal response function and the template temporal response function.

Abstract: There is provided a speech classification apparatus for hearing devices with electroencephalography, EEG, dependent sound processing, comprising a sound processing unit configured to capturing sound input signals from at least one external microphone and segmenting said captured sound input signals into segmented sound signals, a speech classification unit comprising a speech cepstrum calculation unit configured to calculate a speech cepstrum for each segmented sound signal, an EEG cepstrum calculation unit configured to calculate an EEG cepstrum for an EEG signal of a user's brain, a mapping unit configured to select a predetermined number of coefficients from each calculated sound cepstrum and from the calculated EEG cepstrum, and a correlation unit configured to calculate a correlation value for each captured sound input signal based on a correlation of the predetermined number of selected coefficients from the respective calculated sound cepstrum with the predetermined number of selected coefficients from

Abstract: The disclosure presents a hearing device system and a method for adjusting hearing aid configuration, where a user is wearing a hearing device, the method comprising transmitting a first background sound signal to the hearing device, transmitting a first sound pattern to the hearing device, evaluating, via a camera unit, a first pupillary information of a first eye of the user in response to a first sound scene comprising the first background sound signal and the first sound pattern.

Abstract: There is provided a speech classification apparatus for hearing devices with electroencephalography, EEG, dependent sound processing, comprising a sound processing unit configured to capturing sound input signals from at least one external microphone and segmenting said captured sound input signals into segmented sound signals, a speech classification unit comprising a speech cepstrum calculation unit configured to calculate a speech cepstrum for each segmented sound signal, an EEG cepstrum calculation unit configured to calculate an EEG cepstrum for an EEG signal of a user's brain, a mapping unit configured to select a predetermined number of coefficients from each calculated sound cepstrum and from the calculated EEG cepstrum, and a correlation unit configured to calculate a correlation value for each captured sound input signal based on a correlation of the predetermined number of selected coefficients from the respective calculated sound cepstrum with the predetermined number of selected coefficients from

Abstract: A hearing assistance system comprises an input unit for providing electric input sound signals ui, each representing sound signals Ui from a multitude nu of sound sources Si, an electroencephalography (EEG) system for recording activity of the auditory system of the user's brain and providing a multitude ny of EEG signals yj, and a source selection processing unit receiving said electric input sound signals ui and said EEG signals yj, and in dependence thereof configured to provide a source selection signal ?x indicative of the sound source Sx that the user currently pays attention to using a selective algorithm that determines a sparse model to select the most relevant EEG electrodes and time intervals based on minimizing a cost function measuring the correlation between the individual sound sources and the EEG signals, and to determine the source selection signal ?x based on the cost functions obtained for said multitude of sound sources.

Abstract: The disclosure presents a hearing device system and a method for adjusting hearing aid configuration, where a user is wearing a hearing device, the method comprising transmitting a first background sound signal to the hearing device, transmitting a first sound pattern to the hearing device, evaluating, via a camera unit, a first pupillary information of a first eye of the user in response to a first sound scene comprising the first background sound signal and the first sound pattern.

Abstract: A hearing assistance system comprises an input unit for providing electric input sound signals ui, each representing sound signals Ui from a multitude nu of sound sources Si, an electroencephalography (EEG) system for recording activity of the auditory system of the user's brain and providing a multitude ny of EEG signals yj, and a source selection processing unit receiving said electric input sound signals ui and said EEG signals yj, and in dependence thereof configured to provide a source selection signal ?x indicative of the sound source Sx that the user currently pays attention to using a selective algorithm that determines a sparse model to select the most relevant EEG electrodes and time intervals based on minimizing a cost function measuring the correlation between the individual sound sources and the EEG signals, and to determine the source selection signal ?x based on the cost functions obtained for said multitude of sound sources.