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What is: DV3 Attention Block?

SourceDeep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

DV3 Attention Block is an attention-based module used in the Deep Voice 3 architecture. It uses a dot-product attention mechanism. A query vector (the hidden states of the decoder) and the per-timestep key vectors from the encoder are used to compute attention weights. This then outputs a context vector computed as the weighted average of the value vectors.