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    Microphone having a digital output determined at different power consumption levels
    23.
    发明授权
    Microphone having a digital output determined at different power consumption levels 有权

    公开(公告)号：US12010488B2

    公开(公告)日：2024-06-11

    申请号：US18126938

    申请日：2023-03-27

    申请人： Qualcomm Technologies Inc.

    发明人： Robert J. Littrell

    IPC分类号： H04R29/00 ,  G10L25/18 ,  G10L25/21 ,  G10L25/78 ,  H04R17/02 ,  H04R19/04

    CPC分类号： H04R29/004 ,  G10L25/18 ,  G10L25/21 ,  G10L25/78 ,  H04R17/02 ,  H04R19/04 ,  H04R2201/003

    摘要： An acoustic device is described and includes an acoustic sensor element configured to sense acoustic energy and produce an output signal and a threshold detector circuit including a switch having an input coupled to the output of the acoustic sensor element to receive the output signal, a control port that receives a control signal, and first and second output ports, a first channel including an analog-to-digital converter that operates at a first power level a second analog-to-digital converter that operates at a second higher power level, relative to the first power level and a threshold level detector that receives an output from the first analog-to-digital converter to produce the control signal having a first state that causes the switch feed the output signal from the acoustic sensor element to the second analog-to-digital converter when the first digitized output signal meets a threshold criteria.

    METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SPEECH SYNTHESIS
    25.
    发明公开
    METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SPEECH SYNTHESIS 审中-公开

    公开(公告)号：US20240185829A1

    公开(公告)日：2024-06-06

    申请号：US17987034

    申请日：2022-11-15

    申请人： Dell Products L.P.

    发明人： Zijia Wang ,  Zhisong Liu ,  Zhen Jia

    IPC分类号： G10L13/02 ,  G10L25/78

    CPC分类号： G10L13/02 ,  G10L25/78

    摘要： Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for speech synthesis. The method for speech synthesis includes: extracting a plurality of voice feature vectors of a plurality of speakers from a plurality of audios corresponding to the plurality of speakers; calculating a first loss function based on distances between the plurality of voice feature vectors of the plurality of speakers; calculating a second loss function according to a plurality of texts and a plurality of corresponding real audios; and generating a speech synthesis model based on the first loss function and the second loss function. By implementing the method, the speech synthesis model can be optimized and trained, so that a high-quality audio with target voice features can be outputted based on the texts.