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A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
With this Python module (based on C++ code) it is possible to create a Brain Comp. Interface (BCI) and herewith to get EEG data online and evaluate the data while receiving it. - Up to now, this tool relies on the Brain Vision Rec. as EEG software -
The Carolina Computer Assistive Technolog group at UNC-Chapel Hill focuses on the development of enabling technologies. We are currently maintaining the pyTTS package here, but our older work is still available for (unsupported) use.
Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
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