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BrainTalker: Low-Resource Brain-to-Speech Synthesis with Transfer Learning using Wav2Vec 2.0
Specifically, we train an encoder module to map ECoG signals to latent embeddings that match Wav2Vec 2. 0 representations of the corresponding spoken speech.
Style Modeling for Multi-Speaker Articulation-to-Speech
In this paper, we propose a neural articulation-to-speech (ATS) framework that synthesizes high-quality speech from articulatory signal in a multi-speaker situation.
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