Decoding Silent Speech Based on High-Density Surface Electromyogram Using Spatiotemporal Neural Network
Finer-grained decoding at a phoneme or syllable level is a key technology for continuous recognition of silent speech based on surface electromyogram (sEMG). This paper aims at developing a novel syllable-level decoding method for continuous silent speech recognition (SSR) using spatio-temporal end-...
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| Main Authors: | , , , |
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| Format: | Book |
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IEEE,
2023-01-01T00:00:00Z.
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