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eess.AS2024
Deep Speech Synthesis from Multimodal Articulatory Representations
Peter Wu, Bohan Yu, Kevin Scheck +6
The amount of articulatory data available for training deep learning models is much less compared to acoustic speech data. In order to improve articulatory-to-acoustic synthesis pe…
eess.AS2024
Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP
Yisi Liu, Bohan Yu, Drake Lin +3
Articulatory trajectories like electromagnetic articulography (EMA) provide a low-dimensional representation of the vocal tract filter and have been used as natural, grounded featu…
eess.AS2024★ 1 cited
Towards EMG-to-Speech with a Necklace Form Factor
Peter Wu, Ryan Kaveh, Raghav Nautiyal +8
Electrodes for decoding speech from electromyography (EMG) are typically placed on the face, requiring adhesives that are inconvenient and skin-irritating if used regularly. We exp…