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1. 1. Instability of a bi-directional TiFGAN in unsupervised speech representation learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Matthaios Stylianidis; [2021]
   Nyckelord :;

   Sammanfattning : A major challenge in the application of machine learning in the speech domain is the unavailability of annotated data. Supervised machine learning techniques are highly dependent on the amount of labelled data and the quality of the labels. LÄS MER