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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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Detalhes bibliográficos
Publicado no:J Neural Eng
Main Authors: Meltzner, Geoffrey S, Heaton, James T, Deng, Yunbin, De Luca, Gianluca, Roy, Serge H, Kline, Joshua C
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
Assuntos:
Acesso em linha: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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