Dual-complementary electrical equipment voiceprint enhancement network neural network, deployment method and device

The invention relates to a double-complementary electrical equipment voiceprint enhancement neural network, a deployment method and a device. The neural network comprises an encoder, a frequency dimension branch network module, a time dimension branch network module, an interaction module, a merging...

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Bibliographische Detailangaben
Hauptverfasser: LI ZHUOXIAO, XU YONGPENG, YAN YINGJIE, LI ZHE, LIU YADONG, JIANG XIUCHEN, SUN WEIHAO, ZANG YIMING, QIAN QINGLIN, SHENG GEHAO
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention relates to a double-complementary electrical equipment voiceprint enhancement neural network, a deployment method and a device. The neural network comprises an encoder, a frequency dimension branch network module, a time dimension branch network module, an interaction module, a merging module and a decoder. The encoder is used for receiving the GIS voiceprint IQ complex spectrum image of the power equipment and performing encoding compression; the frequency dimension branch network module is used for capturing de-noised information to be aggregated in a frequency dimension; the time dimension branch network module is used for capturing de-noised information to be aggregated in a time dimension; the interaction module is used for exchanging and supplementing de-noising aggregation information; the merging module is used for merging the de-noised aggregation information and outputting a de-noised time-frequency relation graph; and the decoder is used for decoding and outputting the image and resto