Name
Title | ||
|---|---|---|
Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography. |
Abstract | ||
|---|---|---|
We present the first demonstration of single-trial neural decoding of vowel acoustic features during speech production with high performance. The ability to predict trial-by-trial fluctuations in speech production was facilitated by using high-density, large-area electrocorticography (ECoG) combined with an adaptive principal components regression. In experiments from two human neurosurgical patients with a high-density 256-channel ECoG grid implanted over speech cortices, we demonstrate that as much as 81% of the acoustic variability across vowels could be accurately predicted from the spatial patterns of neural activity during speech production. These results demonstrate continuous, single-trial decoding of vowel acoustics. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6945185 | EMBC |
Keywords | DocType | Volume |
fluctuations,neurophysiology,human neurosurgical patients,regression analysis,electroencephalography,spoken vowels,medical signal processing,spatial patterns,speech synthesis,trial-by-trial fluctuations,vowel acoustic features,feature extraction,high-density 256-channel ecog grid implantation,speech coding,neural decoding,adaptive principal components regression,large-area electrocorticography,single-trial neural decoding,principal component analysis,decoding,high-density electrocorticography,human sensory-motor cortex,surgery,bioacoustics,speech production | Conference | 2014 |
ISSN | Citations | PageRank |
1557-170X | 5 | 0.57 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kristofer E Bouchard | 1 | 18 | 8.99 |
| Edward F. Chang | 2 | 24 | 9.78 |