Researchers have discovered that infants with autism can be identified by listening to the noises they made. Their study has shown that the babbling of infants having the problem of autism is differing from those infants without it. The difference in voice was marked using automated vocal analysis technology with eighty-six percent accuracy.
Autism is the name given to spectrum or a group of lifetime developmental conditions typified by incapability to communicate with others, lack of social abilities, obsessional characteristics and repetitive behaviour. Approximately five lacks people are supposed to be affected by autism in UK.
Researchers from US scrutinized almost 1,500 day long vocal soundtracks from battery motorized recorders affixed to clothes of two hundred and thirty-two infants aged ten months to four years. More than three million individual child utterances were used in the study, reported the journal Proceedings of the National Academy of Sciences.
The study focused on twelve precise sound parameters connected with vocal growth. The most significant were those connecting syllabification, which is the capability of infants to create shapely syllables with quick movements of tongue and the jaw. Experts consider these sounds figure the basis of vocabulary. There was a mismatch between the predictable stricture values and age in autistic infants.
This technology could help pediatricians to screen children for ASD (autism spectrum disorder) to resolve if a referral to a specialist for a full diagnosis is required and get those children into earlier and more effective treatments, said Professor Steven Warren, an expert in autism spectrum disorders and who took part in study at the University of Kansas, US.
The new scheme known as Lena (Language Environment Analysis) could make a big disparity to the, screening, treatment and assessment of autism. They indicate that since the scrutiny is based on sound patterns rather than words, it could be used to screen speakers of any language for signs of autism. The physics of human speech are the same in all people, added Professor Steven Warren