A newly developed machine learning model can predict the words a person is about to speak based on their neural activity recorded by a minimally invasive neuroprosthetic device.
Study confirms the role the corpus callosum plays in language lateralization.
Speech pattern analysis can help accurately diagnose depression and psychosis, measure the severity of symptoms, and predict the onset of mental health conditions.
Voice and face recognition may be linked even more intimately than previously thought.
Across different languages, swear words tend to lack l, r, and w sounds. Researchers say the approximants, or common pattern of the sounds, are less suitable than other sounds for giving offense.
The writing system with which we learn to read may influence how we process speech, researchers report. Findings suggest the ability to write influences the way in which our brains process language.
With the help of AI, researchers are developing digital biomarkers that use speech data to identify ALS and frontotemporal dementia.
Children of mothers who experience more negative moods as a result of postpartum depression during the first two months of their child's life have less mature processing of speech sounds at the age of six months.
Using the Dr. Seuss classic, The Lorax, researchers shed new light on how the brain engages during complex audiovisual speech perception. The findings reveal how the brain utilizes a complex network of brain regions involved in sensory processing, multisensory integration, and cognitive functions to comprehend a story's context.
Anatomical simplification of the larynx as a result of evolution allowed vocal complexity in human speech.
Ultrasound recordings of Gaelic speakers shed light on how speakers move their tongues backward and forwards in order to produce specific sounds.
Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages.
