Auditory-Visual Speech Association (AVISA)

@avsp.bsky.social

The official(ish) account of the Auditory-VIsual Speech Association (AVISA) AV 👄 👓 speech references, but mostly what interests me avisa.loria.fr

Multimodal Language Processing in Children With Developmental Language Disorder: The Influence of Verbal and Visuospatial Memory pubs.asha.org/doi/10.1044/... How do verbal & visuospatial memory capacities contribute to the processing & comprehension of pragmatic meanings in children with/out DLD?

Multimodal Language Processing in Children With Developmental Language Disorder: The Influence of Verbal and Visuospatial Memory

Purpose: This study investigates how verbal and visuospatial memory capacities contribute to the processing and comprehension of pragmatic meanin...

pubs.asha.org

Larger language models better align with neural representations of natural language elifesciences.org/articles/101... Fitted electrode-wise (ECoG) encoding models from contextual embeddings of each hidden layer of LLMs to predict word-level neural signals. The early layers of larger LLMs do better..

Larger language models better align with neural representations of natural language

Embeddings from larger language models and relatively earlier layers better predict neural activity during natural language.

elifesciences.org

Rhythm Across Species: Situating Human Speech in a Comparative Framework nyaspubs.onlinelibrary.wiley.com/doi/10.1111/... Examined speech rhythm using units used for nonhuman animals: interonset intervals (IOI) found these durations are relatively similar across a sample of 48 languages - we fit in🥁

NYAS Publications

We analyzed speech rhythms from 48 human languages using methods drawn from biology and linguistics. Interonset intervals across languages are surprisingly similar, with a median value of 2 seconds.,...

nyaspubs.onlinelibrary.wiley.com

Go, @andreadevarda.bsky.social! A beautiful and comprehensive study! 🔑 findng: behav. measures are ~fully reducible to simple predictors of processing effort (surprisal, word length+frequency), but for 🧠 measures, LLM embeddings carry additional predictive power, likely capturing aspects of meaning.

Andrea de Varda@andreadevarda.bsky.social · 3w ago

New preprint! 🧠👀🤖 Behavioral and brain responses to language reflect different levels of linguistic representation w/ @whylikethis.bsky.social , @evfedorenko.bsky.social , and @rplevy.bsky.social (1/10)

Sensory context improves language prediction in humans & LLMs www.pnas.org/doi/abs/10.1... Compared humans predicting language in reading, listening, watching AV videos with text-based LLM predictions. People do better, AV ~ AO > reading (some of it is prosody); LMMs do better when given this info👁️👂

PNAS

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

pnas.org

Colin Cherry (1953) described how we can focus on one conversation in a noisy room full of people talking. This launched decades of research into selective attention and speech perception. 🎧 Cherry (1953) - foundational auditory perception study #SpeechScience #Perception

Voice perception reflects graded sensitivity to acoustic cues along the auditory hierarchy www.sciencedirect.com/science/arti... How like a human voice? Acoustic patterns over time; Perceptual & neural features align most in the auditory association area; voiceness: a hierarchical encoding framework

Voice perception reflects graded sensitivity to acoustic cues along the auditory hierarchy

Humans readily recognize voices in noisy, challenging environments, yet how the brain does this remains poorly understood. A key question is whether t…

sciencedirect.com

Distinct neural processes link speech planning and execution www.nature.com/articles/s41... Busy day on the intracranial recordings research front: planning => prefrontal units => dynamically integrated => execution via speech motor regions representing speech sound units & transitional properties

Distinct neural processes link speech planning and execution - Nature Human Behaviour

Direct recordings from the human brain reveal a hierarchy in planning to speak, with neural activity organizing whole syllables before the individual sounds that compose them are sequenced.

nature.com

Invariant neural representation of parts of speech in the human brain www.cell.com/current-biol... 1,801 electrodes,20 patient, 2 word adjective noun phrases, representation of parts of speech invariant across isual and auditory presentation modalities! Robust to word order, length, frequency ...

Invariant neural representation of parts of speech in the human brain

Misra et al. use invasive neurophysiological recordings from the human brain to describe a highly circumscribed region within the left lateral orbitofrontal cortex that shows strong selectivity for pa...

cell.com

Signal-specific performance of in-ear EEG: strengths and limitations www.frontiersin.org/journals/neu... Results indicate signal detectability depends strongly on signal class, effect size, & recording geometry ->so, a configuration-aware guidance for study design and future in-ear EEG development 👍

Frontiers | Signal-specific performance of in-ear EEG: strengths and limitations

Fully in-ear Electroencephalography (EEG) configurations prioritize wearability and rapid setup but may constrain spatial sampling and signal-to-noise charac...

frontiersin.org