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Interpretable MEG Decoding of Perceived Speech: Cortical Sources and the Stimulus Features That Drive Retrieval

68 upvotes · 2 AUG 2026 · Ilia Semenkov, Daria Kleeva, Ivan Dakhtin et al.

This paper improves the accuracy of decoding speech from magnetoencephalographic (MEG) recordings by modifying a deep network's architecture. Practitioners might care about the techniques used to better understand how the brain processes speech, as this could lead to more accurate speech recognition systems.

MEGspeech processingdeep learningneural decodingaudio embeddingscortical sources