Artificial speech synthesizer control by brain-computer interface
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作者:
Brumberg, Jonathan S.
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机构:
Boston Univ, Dept Cognit & Neural Syst, Boston, MA 02215 USA
Neural Signal Inc, Duluth 30096, GA USABoston Univ, Dept Cognit & Neural Syst, Boston, MA 02215 USA
Brumberg, Jonathan S.
[1
,2
]
Kennedy, Philip R.
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机构:
Neural Signal Inc, Duluth 30096, GA USABoston Univ, Dept Cognit & Neural Syst, Boston, MA 02215 USA
Kennedy, Philip R.
[2
]
Guenther, Frank H.
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机构:
Boston Univ, Dept Cognit & Neural Syst, Boston, MA 02215 USA
Harvard Univ, MIT, Div Hlth Sci & Technol, Amherst, MA 01003 USABoston Univ, Dept Cognit & Neural Syst, Boston, MA 02215 USA
Guenther, Frank H.
[1
,3
]
机构:
[1] Boston Univ, Dept Cognit & Neural Syst, Boston, MA 02215 USA
[2] Neural Signal Inc, Duluth 30096, GA USA
[3] Harvard Univ, MIT, Div Hlth Sci & Technol, Amherst, MA 01003 USA
来源:
INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5
|
2009年
We developed and tested a brain-computer interface for control of an artificial speech synthesizer by an individual with near complete paralysis. This neural prosthesis for speech restoration is currently capable of predicting vowel formant frequencies based on neural activity recorded from an intracortical microelectrode implanted in the left hemisphere speech motor cortex. Using instantaneous auditory feedback (< 50 ms) of predicted formant frequencies, the study participant has been able to correctly perform a vowel production task at a maximum rate of 80-90% correct.