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Found 4 papers, 0 papers with code
Memory in humans and deep language models: Linking hypotheses for model augmentation
The computational complexity of the self-attention mechanism in Transformer models significantly limits their ability to generalize over long temporal durations.
MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
The "MEG-MASC" dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories.
Successes and critical failures of neural networks in capturing human-like speech recognition
The constraints of the task, however, can nudge the cognitive science and engineering of audition to qualitatively converge, suggesting that a closer mutual examination would potentially enrich artificial hearing systems and process models of the mind and brain.
Phonological (un)certainty weights lexical activation
Spoken word recognition involves at least two basic computations.
