Hearing assistance system comprising an EEG-recording and analysis system

    公开(公告)号:US10362414B2

    公开(公告)日:2019-07-23

    申请号:US15645606

    申请日:2017-07-10

    Applicant: Oticon A/S

    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 Ŝx 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 Ŝx based on the cost functions obtained for said multitude of sound sources.

    Sound processing apparatus utilizing an electroencephalography (EEG) signal

    公开(公告)号:US11043210B2

    公开(公告)日:2021-06-22

    申请号:US16442037

    申请日:2019-06-14

    Applicant: Oticon A/S

    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 the calculated EEG cepstrum, wherein an attended speech source is classified based on the obtained correlation values.

    SOUND PROCESSING APPARATUS
    7.
    发明申请

    公开(公告)号:US20200005770A1

    公开(公告)日:2020-01-02

    申请号:US16442037

    申请日:2019-06-14

    Applicant: Oticon A/S

    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 the calculated EEG cepstrum, wherein an attended speech source is classified based on the obtained correlation values.

Patent Agency Ranking