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speech

Featured Neuroscience Open Neuroscience Articles

·December 16, 2019·3 min read

Speech could be older than we thought

Speech could have emerged earlier than the 200,000 years ago, long before current linguistic theory suggests.

This shows a little girl with a hearing aid

Auditory Neuroscience Featured Neuroscience

·October 1, 2019·3 min read

Mild-to-moderate hearing loss in children leads to changes in how brain processes sound

The brain activity response to sound in older children with hearing loss was lower than their peers with normal hearing.

Featured Neuroscience Open Neuroscience Articles

·September 30, 2019·3 min read

Mechanisms of real-time speech interpretation in the human brain revealed

Study reveals the dynamic patterns of information flow between critical language regions of the brain.

Auditory Neuroscience Featured Neurology Neuroscience

·September 6, 2019·4 min read

Sound deprivation in one ear leads to speech recognition difficulties

Ear infections and other conditions that cause hearing loss to one ear can cause nerve damage if left untreated. The damage may render the sufferer to difficulties in speech recognition and processing.

This shows the location of the brain networks

Featured Neurology Neuroscience

·September 2, 2019·3 min read

Map of broken brain networks shows why people lose speech in language-based dementia

Researchers have identified the location of dysfunctional brain networks that lead to impaired sentence production and word-finding in primary progressive aphasia (PPA). PPA can occur in those with neurodegenerative diseases, such as frontotemporal dementia and Alzheimer's disease. Mapping the networks allows clinicians to apply non-invasive brain stimulation to potentially improve speech in those with PPA.

Featured Neuroscience Psychology

·August 21, 2019·2 min read

Babbling babies’ behavior changes parents’ speech

Parents unconsciously modify their speech to include fewer unique words, shorter sentences, and one-word replies when their baby babbles, but not when they are simply speaking to the baby.

Featured Neuroscience Open Neuroscience Articles

·July 30, 2019·8 min read

Team IDs Spoken Words and Phrases in Real Time from Brain’s Speech Signals

Using ECoG and machine learning, researchers decoded spoken words and phrases in real-time from brain signals that control speech. The technology could eventually be used to help those who have lost vocal control to regain their voice.

This shows a head surrounded by binary code

Featured Neuroscience Psychology

·July 12, 2019·1 min read

Sound mind: Detecting depression through voice

Artificial intelligence is now better able to detect depression by analyzing the sound of a person's voice.

This shows children playing with musical instruments

Auditory Neuroscience Featured Neuroscience Open Neuroscience Articles

·June 28, 2019·2 min read

Music helps develop spoken language for the hearing impaired

Music may help children with hearing impairments to develop spoken language skills.

The auditory cortex is highlighted in this brain scan

Featured Neuroscience Neuroscience Videos

·June 10, 2019·4 min read

Our brains appear uniquely tuned for musical pitch

Study of macaque monkeys reveals speech and music may have shaped the human brain's auditory networks. Researchers found specific areas of the human brain have a stronger preference for pitch than that of primates, raising the possibility certain sounds, which are embedded in music and speech, may have shaped the organization of our brains.

Autism Featured Neuroscience

·May 25, 2019·4 min read

Infants with autism risk may be less likely to distinguish between familiar and unfamiliar speech patterns

Children at higher risk of ASD are less able to distinguish between differences in speech patterns. The findings suggest the biological mechanism of language development is less acquisitive in high-risk infants who are diagnosed with autism during toddlerhood.

This shows a depressed looking little girl.

Featured Neuroscience Psychology

·May 6, 2019·5 min read

AI can detect depression in a child’s speech

An auditory-based machine learning algorithm was able to identify children diagnosed with depression and anxiety with 80% accuracy after analyzing recordings of their speech. The algorithm identified eight audio features that signify a higher risk of depression. Of these, a lower pitch of voice, repeatable speech inflections and a higher pitch response to surprise stimuli, were more indicative of depression. Researchers hope to develop a smartphone app that records and analyzes speech immediately, helping to better detect children at risk of internalizing disorders.