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Found 2 papers, 1 papers with code
Variations and Relaxations of Normalizing Flows
Normalizing Flows (NFs) describe a class of models that express a complex target distribution as the composition of a series of bijective transformations over a simpler base distribution.
End-to-End Speech Recognition and Disfluency Removal with Acoustic Language Model Pretraining
In light of recent successes in large scale audio pretraining, we revisit the performance comparison between two-stage and end-to-end model and find that audio based language models pretrained using weak self-supervised objectives match or exceed the performance of similarly trained two-stage models, and further, that the choice of pretraining objective substantially effects a model's ability to be adapted to the disfluency removal task.
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