24 citations · 38 across the 12 of their papers we have counts for
14 papers
Integrating Language Models into Listened and Imagined Speech Decoding from MEG
Maryam Maghsoudi, Sai Samrat Kankanala, Shihab A. Shamma +1
Decoding imagined speech is an important goal for brain-computer interfaces but remains challenging due to weak neural responses, low signal-to-noise ratio, and limited imagined-sp…
Zero-Shot Imagined Speech Decoding via Imagined-to-Listened MEG Mapping
Maryam Maghsoudi, Shihab Shamma
Decoding imagined speech from non-invasive brain recordings is challenging because imagined datasets are scarce and difficult to align temporally across subjects and sessions In th…
Relating the Neural Representations of Vocalized, Mimed, and Imagined Speech
Maryam Maghsoudi, Rupesh Chillale, Shihab A. Shamma
We investigated the relationship among neural representations of vocalized, mimed, and imagined speech recorded using publicly available stereotactic EEG recordings. Most prior stu…
A Convolutional Framework for Mapping Imagined Auditory MEG into Listened Brain Responses
Maryam Maghsoudi, Mohsen Rezaeizadeh, Shihab Shamma
Decoding imagined speech engages complex neural processes that are difficult to interpret due to uncertainty in timing and the limited availability of imagined-response datasets. I…
EEG Blink Artifacts Can Identify Read Music in Listening and Imagery
Abhinav Uppal, Dillan Cellier, Min Suk Lee +5
Eye-movement related artifacts including blinks and saccades are significantly larger in amplitude than cortical activity as recorded by scalp electroencephalography (EEG), but are…
Biomimetic Frontend for Differentiable Audio Processing
Ruolan Leslie Famularo, Dmitry N. Zotkin, Shihab A. Shamma +1
While models in audio and speech processing are becoming deeper and more end-to-end, they as a consequence need expensive training on large data, and are often brittle. We build on…