The term of autism can be identified by every parent by listening to the noises that the baby makes. It has been found by the scientists. Based on the research, it has been stated that the babbling of babies with the disorder was not the same as that of the children without. We can know this from the scientists’ founding that use the automated vocal analysis technology to spot the differences. The automated vocal analysis technology has 86 per cent of accuracy. So, the scientists are sure about that condition. An expert in autism spectrum disorders at the University of Kansas, US, Professor Steven Warren, stated that this technology could help pediatricians to screen the children for ASD (autism spectrum disorder) to determine if a referral to a specialist for a full diagnosis is required and get those children into earlier and more effective treatments.
Yet, this term is the name of a group, or ‘spectrum’, of lifelong developmental conditions which are characterized by an incapability to talk or socialize with the other people, a lack of social skills, obsession traits, and repetitive behavior. In this study, there are 500,000 people estimated in the UK who are believed to be affected by this term.
In this study, the scientists used the battery-powered recorders to analyze the 1,500 day-long vocal soundtracks. Then, it linked to the clothing of 232 children aged 10 months to 4 years. The study in this case is focusing on 12 specific sound parameters associated with the vocal development. And the most important thing in this study is the ability of the children to produce well-formed syllables with rapid movements of the jaw and tongue. In the children who have the term of autism, there is a difference between the expected parameter values and age. The researchers stated that the new system, which called Lena (Language Environment Analysis), could make a big difference to the screening, assessment and treatment of autism.