The paper presents Transformer Neural Autoregressive Flows (T-NAFs), a novel solution to challenges in Normalizing Flows (NFs). NFs are a sequence of invertible transformations used in machine learning for density…
Continue readingThe article discusses the use of normalizing flows in voice conversion (VC) tasks and introduces a new training paradigm called AutoEncoder Normalizing Flow (AE-Flow). Normalizing flows are unsupervised generative models…
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