AUDIO RECOGNITION METHOD, METHOD OF TRAINING AUDIO RECOGNITION MODEL, AND ELECTRONIC DEVICE

    公开(公告)号:US20230410794A1

    公开(公告)日:2023-12-21

    申请号:US18237976

    申请日:2023-08-25

    CPC classification number: G10L15/063 G10L15/26 G10L15/02

    Abstract: An audio recognition method, a method of training an audio recognition model, and an electronic device are provided, which relate to fields of artificial intelligence, speech recognition, deep learning and natural language processing technologies. The audio recognition method includes: truncating an audio feature of target audio data to obtain at least one first audio sequence feature corresponding to a predetermined duration; obtaining, according to a peak information of the audio feature, a peak sub-information corresponding to the first audio sequence feature; performing at least one decoding operation on the first audio sequence feature to obtain a recognition result for the first audio sequence feature, a number of times the decoding operation is performed being identical to a number of peaks corresponding to the first audio sequence feature; obtaining target text data for the target audio data according to the recognition result for the at least one first audio sequence feature.

    METHOD AND APPARATUS OF FUSING OPERATORS, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20210398022A1

    公开(公告)日:2021-12-23

    申请号:US17463748

    申请日:2021-09-01

    Abstract: The present disclosure provides a method and apparatus of fusing operators, an electronic device and a storage medium, which relates to fields of deep learning, artificial intelligence and knowledge graph. The method includes: determining operator groups to be fused, according to an operator graph to be processed, wherein each operator group of the operator groups includes at least two operators in the operator graph respectively; obtaining a fused operator corresponding to the each operator group respectively; and for the fused operator, replacing corresponding operators in the operator graph with the fused operator respectively, and coupling dependence edges of the corresponding operators to the any fused operator, wherein the corresponding operators include operators in the operator group corresponding to the fused operator.

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