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Development of sEMG sensors and algorithms for silent speech recognition
OBJECTIVE. Speech is among the most natural forms of human communication, thereby offering an attractive modality for human–machine interaction through automatic speech recognition (ASR). However, the limitations of ASR—including degradation in the presence of ambient noise, limited privacy and poor...
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| Udgivet i: | J Neural Eng |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6168082/ https://ncbi.nlm.nih.gov/pubmed/29855428 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2552/aac965 |
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