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  1. 1
    Academic Journal

    Development of Supervised Speaker Diarization System Based on the PyAnnote Audio Processing Library

    Authors: Volodymyr Khoma, Yuriy Khoma, Vitalii Brydinskyi, Alexander Konovalov

    Source: Sensors, Vol 23, Iss 4, p 2082 (2023)

    Subject Terms: diarization system, PyAnnote library, identification of speakers’ utterances, segmental classification, cluster classification, Chemical technology, TP1-1185

    File Description: electronic resource

    Relation: https://www.mdpi.com/1424-8220/23/4/2082; https://doaj.org/toc/1424-8220

    Access URL: https://doaj.org/article/a3a41863643c43cb932ca8e4c47d4f28

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