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    • 53. 发明授权
    • Adversarial speaker adaptation
    • US11107460B2
    • 2021-08-31
    • US16460027
    • 2019-07-02
    • Microsoft Technology Licensing, LLC
    • Zhong MengJinyu LiYifan Gong
    • G10L15/06G10L15/02G10L15/22G10L15/16
    • Embodiments are associated with a speaker-independent acoustic model capable of classifying senones based on input speech frames and on first parameters of the speaker-independent acoustic model, a speaker-dependent acoustic model capable of classifying senones based on input speech frames and on second parameters of the speaker-dependent acoustic model, and a discriminator capable of receiving data from the speaker-dependent acoustic model and data from the speaker-independent acoustic model and outputting a prediction of whether received data was generated by the speaker-dependent acoustic model based on third parameters. The second parameters are initialized based on the first parameters, the second parameters are trained based on input frames of a target speaker to minimize a senone classification loss associated with the second parameters, a portion of the second parameters are trained based on the input frames of the target speaker to maximize a discrimination loss associated with the discriminator, and the third parameters are trained based on the input frames of the target speaker to minimize the discrimination loss.
    • 60. 发明授权
    • Visualization with conditional characteristic
    • US11080903B2
    • 2021-08-03
    • US15372741
    • 2016-12-08
    • SAP SE
    • Viren Kumar
    • G06T11/20G06F40/154G06F40/143
    • A system includes determination of a first series of data points, each data point of the first series of data points comprising one or more dimension values and a value of a first measure, determination of a second series of data points, each data point of the second series of data points comprising one or more dimension values and a value of a second measure, determination of a condition associated with a relation between the first measure and the second measure and with a visual characteristic, evaluation of the condition with respect to a first portion of the first series of data points and a first portion of the second series of data points, determination of a first visual characteristic of a first area of a visualization based on the evaluation of the condition and the visual characteristic associated with the condition, and generation of a visualization comprising a first visualization of the first series of data points, a second visualization of the second series of data points, and the first area, wherein the first area exhibits the first visual characteristic.