Imagined Speech based on KaraOne Database
Karaone is a database of imagined speech. It contains 11 classes (4 words and 7 phonemic prompts), each of which is imagined by 14 different subject. Read more about the database here.
The features extracted in different ways like Cross Covariance Matrix of channels in both time and frequency domain.
The classification is done using different methods like CNN, CNN+LSTM, EEGNet.
The results are shown in the table below:
| Model | Accuracy |
|---|---|
| CNN+Cross Covariance in Time domain+0.25s window | 9.61 |
| CNN+Time Signal with 0.25s window | 15.66 |
| CNN+Cross Covariance in Frequency domain+0.25s window | 43.34 |
| CNN+LSTM+Cross Covariance in Frequency domain+0.25s window | 33.24 |
| EEGNet+0.25 window | 16.73 |