Ze-Hui Feng

Do Speech BCIs Need Larger Models? Rethinking Neural Decoding beyond Scaling

Recent speech brain-computer interfaces (BCIs) increasingly rely on large models and complex multi-stage pipelines for neural decoding. However, in speech BCI, where training data are scarce, noisy, and expensive to collect, the benefits of model scaling remain unclear. This work revisits a fundamental question: are la...