Toward a realistic model of speech processing in the brain with self-supervised learning
Several deep neural networks have recently been shown to generate activations similar to
those of the brain in response to the same input. These algorithms, however, remain largely …
those of the brain in response to the same input. These algorithms, however, remain largely …
Beat-based dancing to music has evolutionary foundations in advanced vocal learning
AD Patel - BMC neuroscience, 2024 - Springer
Dancing to music is ancient and widespread in human cultures. While dance shows great
cultural diversity, it often involves nonvocal rhythmic movements synchronized to musical …
cultural diversity, it often involves nonvocal rhythmic movements synchronized to musical …
The music of silence: part I: responses to musical imagery encode melodic expectations and acoustics
Musical imagery is the voluntary internal hearing of music in the mind without the need for
physical action or external stimulation. Numerous studies have already revealed brain areas …
physical action or external stimulation. Numerous studies have already revealed brain areas …
The same ultra-rapid parallel brain dynamics underpin the production and perception of speech
A Fairs, A Michelas, S Dufour… - Cerebral Cortex …, 2021 - academic.oup.com
The temporal dynamics by which linguistic information becomes available is one of the key
properties to understand how language is organized in the brain. An unresolved debate …
properties to understand how language is organized in the brain. An unresolved debate …
Vocal Control and Speech Production in Cochlear Implant Listeners: A Review within Auditory-Motor Processing Framework
A comprehensive literature review is conducted to summarize and discuss prior findings on
how cochlear implants (CI) affect the users' abilities to produce and control vocal and …
how cochlear implants (CI) affect the users' abilities to produce and control vocal and …
Learning to Compute the Articulatory Representations of Speech with the MIRRORNET
Most organisms including humans function by coordinating and integrating sensory signals
with motor actions to survive and accomplish desired tasks. Learning these complex …
with motor actions to survive and accomplish desired tasks. Learning these complex …
Articulation gan: Unsupervised modeling of articulatory learning
Generative deep neural networks are widely used for speech synthesis, but most existing
models directly generate waveforms or spectral outputs. Humans, however, produce speech …
models directly generate waveforms or spectral outputs. Humans, however, produce speech …
Detecting spontaneous neural oscillation events in primate auditory cortex
Electrophysiological oscillations in the brain have been shown to occur as multicycle events,
with onset and offset dependent on behavioral and cognitive state. To provide a baseline for …
with onset and offset dependent on behavioral and cognitive state. To provide a baseline for …
Taxonomy of neural oscillation events in primate auditory cortex
Electrophysiological oscillations in the brain have been shown to occur as multi-cycle
events, with onset and offset dependent on behavioral and cognitive state. To provide a …
events, with onset and offset dependent on behavioral and cognitive state. To provide a …
Investigating the cortical tracking of speech and music with sung speech
The cortical tracking of speech and music has been primarily investigated separately. Here,
we propose a novel paradigm involving sung speech to systematically compare the cortical …
we propose a novel paradigm involving sung speech to systematically compare the cortical …