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    DIAGNOSTIC TECHNIQUES BASED ON SPEECH-SAMPLE ALIGNMENT
    2.
    发明公开
    DIAGNOSTIC TECHNIQUES BASED ON SPEECH-SAMPLE ALIGNMENT 审中-公开

    公开(公告)号：EP4407604A3

    公开(公告)日：2024-10-09

    申请号：EP24181539.8

    申请日：2020-02-18

    申请人： Cordio Medical Ltd.

    发明人： Shallom, Ilan D.

    IPC分类号： G10L25/66 ,  A61B5/00 ,  G10L15/06

    CPC分类号： A61B5/0022 ,  G10L25/66 ,  G10L2015/063120130101 ,  A61B5/4803

    摘要： Reference-sample feature vectors that quantify acoustic features of different respective portions of at least one reference speech sample (44), which was produced by a subject (22) at a first time while a physiological state of the subject was known, are obtained. At least one test speech sample (56) that was produced by the subject at a second time, while the physiological state of the subject was unknown, is received. Test-sample feature vectors (60) that quantify the acoustic features of different respective portions (58) of the test speech sample are computed. The test-sample feature vectors are mapped to respective ones of the reference-sample feature vectors, under predefined constraints, such that a total distance between the test-sample feature vectors and the respective ones of the reference-sample feature vectors is minimized. In response to the mapping, an output indicating the physiological state of the subject at the second time is generated.

    BREATHING SIGNAL-DEPENDENT SPEECH PROCESSING OF AN AUDIO SIGNAL
    4.
    发明公开
    BREATHING SIGNAL-DEPENDENT SPEECH PROCESSING OF AN AUDIO SIGNAL 审中-公开

    公开(公告)号：EP4414984A1

    公开(公告)日：2024-08-14

    申请号：EP23155738.0

    申请日：2023-02-09

    申请人： Koninklijke Philips N.V.

    发明人： Härmä, Aki Sakari

    IPC分类号： G10L25/48 ,  G10L25/30 ,  G10L25/66 ,  G10L15/04 ,  G10L21/02

    CPC分类号： G10L25/48 ,  G10L25/30 ,  G10L25/66 ,  G10L21/02 ,  G10L15/04

    摘要： An apparatus for speech processing comprises an input (101) arranged to receive an audio signal comprising a speech audio component. A segmenter (105) generates segments of the audio signal with each segment having a segment duration and a time interval between consecutive segments having an intersegment duration that is less than the segment duration. A first generator (107) generates a fragment of breathing waveform signal for each segment of the audio signal and a second generator (109) generates the breathing waveform signal by combining the fragments of the breathing waveform signal. A speech processor (103) performs speech processing of the audio signal where the speech processing is dependent on the breathing waveform signal. The speech processor (103) may determine one or more breathing parameters, such as a breathing rate, breathing volume, timing of inspiration intervals etc., and the speech processing may be adapted in response to such breathing parameters.

    PARKINSON'S DESEASE PREDICTION APPARATUS AND PARKINSON'S DISEASE PREDICTION METHOD
    5.
    发明公开
    PARKINSON'S DESEASE PREDICTION APPARATUS AND PARKINSON'S DISEASE PREDICTION METHOD 审中-实审

    公开(公告)号：EP4386751A1

    公开(公告)日：2024-06-19

    申请号：EP23195992.5

    申请日：2023-09-07

    申请人： Emocog Co., Ltd.

    发明人： NOH, Yoo Hun ,  JO, Joon Sang ,  KIM, Hai Rin

    IPC分类号： G10L25/66 ,  A61B5/00 ,  G16H50/20 ,  G16H50/30 ,  G10L25/30

    CPC分类号： G10L25/66 ,  G10L25/30 ,  A61B5/4803 ,  G16H50/20 ,  A61B5/7267 ,  G16H40/63 ,  G16H50/70 ,  A61B5/7264

    摘要： Provided are a Parkinson's disease prediction apparatus and a Parkinson's disease prediction method. The Parkinson's disease prediction method is performed by a processor of the Parkinson's disease prediction apparatus and includes extracting a syntactic combination from audio data including a speaker's speech result, verifying accuracy of a Parkinson's disease prediction model by changing conditions for preprocessing the audio data and the syntactic combination, determining a syntactic combination ranked in a high rank as audio data for Parkinson's disease prediction, based on a result of verifying the accuracy of the Parkinson's disease prediction model, and inputting, to the Parkinson's disease prediction model, a speaker's speech result corresponding to the audio data for the Parkinson's disease prediction and obtaining a Parkinson's disease prediction result for the speaker as an output of the Parkinson's disease prediction model.

    METHOD AND SERVER FOR DEMENTIA TEST BASED ON QUESTIONS AND ANSWERS USING ARTIFICIAL INTELLIGENCE CALL
    10.
    发明公开
    METHOD AND SERVER FOR DEMENTIA TEST BASED ON QUESTIONS AND ANSWERS USING ARTIFICIAL INTELLIGENCE CALL 审中-公开

    公开(公告)号：EP4220648A1

    公开(公告)日：2023-08-02

    申请号：EP22724223.7

    申请日：2022-04-05

    申请人： SEVENPOINTONE INC.

    发明人： LEE, Hyeonjun ,  YOO, Juyeong

    IPC分类号： G16H10/20 ,  G16H50/30 ,  G16H50/20 ,  G16H10/60 ,  G16H80/00 ,  A61B5/00 ,  G10L15/22 ,  G10L15/26 ,  G10L25/66

    摘要： The present disclosure relates to a method and a server capable of performing a dementia test without the need for a dementia test subject to personally visit a test center and capable of automatically performing a dementia test by an artificial intelligence, not an individual. According to an embodiment of the present disclosure, a dementia test may be performed without the need for a dementia test subject to personally visit a test center, thereby improving the effectiveness of a dementia test by filtering patients who need to visit the test center and proceed with a follow-up test, and a dementia test may be automatically performed by an artificial intelligence, not an individual, thereby saving the time required for the dementia test and costs such as labor cost for the test.