2 papers
cs.CL2026
Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding
Michal Olak, Tommaso Boccato, Matteo Ferrante
Speech brain--computer interfaces require decoders that translate intracortical activity into linguistic output while remaining robust to limited data and day-to-day variability. W…
eess.AS2026
BrainWhisperer: Leveraging Large-Scale ASR Models for Neural Speech Decoding
Tommaso Boccato, Michal Olak, Matteo Ferrante
Decoding continuous speech from intracortical recordings is a central challenge for brain-computer interfaces (BCIs), with transformative potential for individuals with conditions…