An Interpretable Deep Learning Model for Speech Activity Detection Using Electrocorticographic Signals

Numerous state-of-the-art solutions for neural speech decoding and synthesis incorporate deep learning into the processing pipeline. These models are typically opaque and can require significant computational resources for training and execution. A deep learning architecture is presented that learns...

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Main Authors: Morgan Stuart (Author), Srdjan Lesaja (Author), Jerry J. Shih (Author), Tanja Schultz (Author), Milos Manic (Author), Dean J. Krusienski (Author)
Format: Book
Published: IEEE, 2022-01-01T00:00:00Z.
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