DATA AUGMENTATION SYSTEM AND METHOD FOR MULTI-MICROPHONE SYSTEMS

    公开(公告)号:US20230230580A1

    公开(公告)日:2023-07-20

    申请号:US17579766

    申请日:2022-01-20

    CPC classification number: G10L15/08

    Abstract: A method, computer program product, and computing system for obtaining one or more speech signals from a first device, thus defining one or more first device speech signals. One or more speech signals may be obtained from a second device, thus defining one or more second device speech signals. A noise component model may be selected from a plurality of noise component models based upon, at least in part, the one or more first device speech signals and the one or more second device speech signals. The one or more second device speech signals may be augmented, at run-time, based upon, at least in part, the noise component model.

    MULTI-CHANNEL SPEECH COMPRESSION SYSTEM AND METHOD

    公开(公告)号:US20220254358A1

    公开(公告)日:2022-08-11

    申请号:US17669567

    申请日:2022-02-11

    Abstract: A method, computer program product, and computing system for generating a plurality of acoustic relative transfer functions between a plurality of audio acquisition devices of an audio recording system based upon, at least in part, one or more of a predefined speech processing application and a predefined acoustic environment. An acoustic relative transfer function codebook may be generated using the plurality of acoustic relative transfer functions. One or more channels from the plurality of audio acquisition devices of the audio recording system may be encoded using the acoustic relative transfer function codebook.

    System and Method for Multi-Microphone Automated Clinical Documentation

    公开(公告)号:US20210350815A1

    公开(公告)日:2021-11-11

    申请号:US17315857

    申请日:2021-05-10

    Abstract: A method, computer program product, and computing system for receiving audio encounter information from a microphone array. Speech activity within one or more portions of the audio encounter information may be identified based upon, at least in part, a correlation among the audio encounter information received from the microphone array. Location information for the one or more portions of the audio encounter information may be determined based upon, at least in part, the correlation among the signals received by each microphone of the microphone array. The one or more portions of the audio encounter information may be labeled with the speech activity and the location information.

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