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

Inventor： Thomas Lunner ,  Carina Graversen ,  Emina Alickovic ,  Carlos Francisco Mendoza Lara ,  Andrew Segar

IPC: G10L15/16 ,  G06F3/01 ,  G06F17/18 ,  G10L25/51 ,  G10L25/06 ,  G10L25/24 ,  G10L25/30

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.

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

Inventor： Thomas Lunner ,  Carina Graversen ,  Emina Alickovic ,  Carlos Francisco Mendoza Lara ,  Andrew Segar

IPC: G10L15/16 ,  G10L25/51 ,  G06F17/18 ,  G06F3/01

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.