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Voiceprint Recognition Algorithm for GIS Anomalous Conditions Based on Improved MFCC-OCSVM and Bayesian Optimized BiGRU
High Voltage and Insulation | 更新时间：2025-10-13

    • Voiceprint Recognition Algorithm for GIS Anomalous Conditions Based on Improved MFCC-OCSVM and Bayesian Optimized BiGRU

    • “In the field of identifying abnormal operating conditions of gas insulated switchgear, researchers have proposed a BiGRU voiceprint recognition algorithm based on MFCC-OCSVM and Bayesian optimization, with a highest average recognition accuracy of 92.8%, providing an efficient technical route for GIS equipment abnormal operating condition voiceprint recognition.”
    • Southern Power System Technology   Vol. 19, Issue 1, Pages: 30-40(2025)

    • DOI：10.13648/j.cnki.issn1674-0629.2025.01.004    

      CLC： TM41

    • Received：21 November 2023，

      Published Online：26 June 2024，

      Published：20 January 2025

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  • ZHUANG Xiaoliang,LI Qiankun,LIU Zigang,et al.Voiceprint Recognition Algorithm for GIS Anomalous Conditions Based on Improved MFCC-OCSVM and Bayesian Optimized BiGRU[J].Southern Power System Technology,2025,19(01):30-40. DOI： 10.13648/j.cnki.issn1674-0629.2025.01.004.

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