2019
DOI: 10.1097/01.hj.0000579568.52797.d2
|View full text |Cite
|
Sign up to set email alerts
|

Advantages of Deep Learning for ECoG-based Speech Recognition

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…Recently electrocorticography (ECoG) recordings have been explored as an additional source of input to inform DBS ( Swann et al, 2018 ). Indeed, ECoG is being used more frequently within the brain computer interface (BCI) community, including with ML methods in various fields, such as speech and movement decoding ( Goli and Rad, 2019 ; Merk et al, 2021 ; Ramsey et al, 2018 ; Schalk et al, 2008 ; Xie et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%
“…Recently electrocorticography (ECoG) recordings have been explored as an additional source of input to inform DBS ( Swann et al, 2018 ). Indeed, ECoG is being used more frequently within the brain computer interface (BCI) community, including with ML methods in various fields, such as speech and movement decoding ( Goli and Rad, 2019 ; Merk et al, 2021 ; Ramsey et al, 2018 ; Schalk et al, 2008 ; Xie et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%