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-...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Book |
| Published: |
IEEE,
2023-01-01T00:00:00Z.
|
| Subjects: | |
| Online Access: | Connect to this object online. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|