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公开(公告)号:US11133020B2
公开(公告)日:2021-09-28
申请号:US16594274
申请日:2019-10-07
申请人: Audio Analytic Ltd
发明人: Christopher James Mitchell , Sacha Krstulovic , Cagdas Bilen , Neil Cooper , Julian Harris , Amoldas Jasonas , Joe Patrick Lynas
IPC分类号: G10L25/51 , G10L25/30 , G08B23/00 , G06N20/00 , G06N3/08 , G06N3/04 , G06N7/00 , G06N5/00 , G08B6/00 , G08B3/10 , G08B5/22
摘要: A device or system is provided which is configured to detect one or more sound events and/or scenes associated with a predetermined context, and to provide an assistive output on fulfilment of that context.
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公开(公告)号:US11250877B2
公开(公告)日:2022-02-15
申请号:US16521949
申请日:2019-07-25
申请人: Audio Analytic Ltd
IPC分类号: G10L25/66 , G06F16/483 , A61B5/00 , G10L25/93
摘要: A method for generating a health indicator for at least one person of a group of people, the method comprising: receiving, at a processor, captured sound, where the captured sound is sound captured from the group of people; comparing the captured sound to a plurality of sound models to detect at least one non-speech sound event in the captured sound, each of the plurality of sound models associated with a respective health-related sound type; determining metadata associated with the at least one non-speech sound event; assigning the at least one non-speech sound event and the metadata to at least one person of the group of people; and outputting a message identifying the at least one non-speech event and the metadata to a health indicator generator module to generate a health indicator for the at least one person to whom the at least one non-speech sound event is assigned.
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公开(公告)号:US20210104230A1
公开(公告)日:2021-04-08
申请号:US16594624
申请日:2019-10-07
申请人: Audio Analytic Ltd.
发明人: Christopher James Mitchell , Sacha Krstulovic , Cagdas Bilen , Juan Azcarreta Ortiz , Giacomo Ferroni , Amoldas Jasonas , Francesco Tuveri
摘要: A method for recognising at least one of a non-verbal sound event and a scene in an audio signal comprising a sequence of frames of audio data, the method comprising: for each frame of the sequence: processing the frame of audio data to extract multiple acoustic features for the frame of audio data; and classifying the acoustic features to classify the frame by determining, for each of a set of sound classes, a score that the frame represents the sound class; processing the sound class scores for multiple frames of the sequence of frames to generate, for each frame, a sound class decision for each frame; and processing the sound class decisions for the sequence of frames to recognise the at least one of a non-verbal sound event and a scene.
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