Previous research has demonstrated the potential of using pre-trained language models for decoding open vocabulary Electroencephalography (EEG) signals captured through a non-invasive Brain-Computer ...

Abstract: The conversion of brain activity into text using electroencephalography (EEG) has gained significant traction in recent years. Many researchers are working to develop new models to decode ...

Historic messages and documents obscured by incomprehensible ciphers can be found in libraries and archives all over the world. Artificial intelligence is helping historians crack open these ...

Course project extending DCoND with: (i) a skip-diphone auxiliary head (z_{t-2} → z_t), and (ii) a temporal smoothness loss on marginalized phoneme probabilities. See docs/proposal.pdf for full ...