Distributed learning video encoder/decoder

    公开(公告)号:US10419785B2

    公开(公告)日:2019-09-17

    申请号:US15655965

    申请日:2017-07-21

    Inventor: Thomas J. Davies

    Abstract: In one embodiment, one or more portions of video content that were encoded by a video encoder are identified. The one or more portions of video content are to be analyzed for improving encoding performance of the video encoder. The one or more portions of the video content are stored. During an idle time period of the video encoder, the one or more portions of video content are analyzed in combination with a test set stored by the video encoder in order to modify one or more functions of an encoding process used by the video encoder. Based on the analysis, one or more modifications to the encoding process are determined that result in improved performance of the video encoder.

    Voice data compensation with machine learning

    公开(公告)号:US10217466B2

    公开(公告)日:2019-02-26

    申请号:US15497650

    申请日:2017-04-26

    Abstract: A method comprises: obtaining, at an apparatus, first voice data from a first user device associated with a first speaker participant in a communication session; detecting voice data loss or degradation in the first voice data; determining whether prediction probability of correctly compensating for the voice data loss or degradation is greater than a predetermined probability threshold; if the prediction probability is greater than the predetermined probability threshold, first compensating for the voice data loss or degradation using historical voice data received by the apparatus prior to receiving of the first voice data, the first compensating producing first compensated voice data; if the prediction probability is not greater than the predetermined probability threshold, second compensating for the voice data loss or degradation by inserting noise to the first voice data to produce second compensated voice data; and outputting the first compensated voice data or the second compensated voice data.

    VOICE DATA COMPENSATION WITH MACHINE LEARNING

    公开(公告)号:US20180315438A1

    公开(公告)日:2018-11-01

    申请号:US15497650

    申请日:2017-04-26

    Abstract: A method comprises: obtaining, at an apparatus, first voice data from a first user device associated with a first speaker participant in a communication session; detecting voice data loss or degradation in the first voice data; determining whether prediction probability of correctly compensating for the voice data loss or degradation is greater than a predetermined probability threshold; if the prediction probability is greater than the predetermined probability threshold, first compensating for the voice data loss or degradation using historical voice data received by the apparatus prior to receiving of the first voice data, the first compensating producing first compensated voice data; if the prediction probability is not greater than the predetermined probability threshold, second compensating for the voice data loss or degradation by inserting noise to the first voice data to produce second compensated voice data; and outputting the first compensated voice data or the second compensated voice data.

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