Method, device and program for learning artificial neural networks based on speech imagination biosignals and phoneme information

A device for learning an artificial neural network based on speech imagination biosignals and phoneme information comprising:

• a biosignal collection unit for collecting speech imagination biosignals;
• a phoneme information labeling unit for labelling the collected speech imagination biosignals with phoneme information;
• a signal pre-processing unit for pre-processing the labeled speech imagination biosignals;
• a feature vector extraction unit for extracting feature vectors of the pre-processed speech imagination biosignals;
• and
• an artificial neural network learning unit for learning the extracted feature vectors through an artificial neural network to generate a classification model,
• wherein the pre-processing may include windowing to cut the labeled speech imagination biosignals in phoneme units, and the learning may include labeling phoneme information for the feature vectors extracted in phoneme units.

A program stored in a recording medium for learning an artificial neural network based on speech imagination biosignals and phoneme information, wherein the program may cause, when executed on a computer, the computer to perform the operations of:

• collecting speech imagination biosignals;
• labeling the collected speech imagination biosignals with phoneme information;
• pre-processing the labeled speech imagination biosignals;
• extracting feature vectors of the pre-processed speech imagination biosignals;
• and
• learning the extracted feature vectors through an artificial neural network to generate a classification model,
• wherein the pre-processing may include windowing to cut the labeled speech imagination biosignals in phoneme units, and the learning includes labeling phoneme information for the feature vectors extracted in phoneme units.