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Research has shown that children with autism produce sound patterns that are different from typically developing children. Using sophisticated acoustic algorithms, we break down a child’s vocalizations into 46 unique phone and non-phone categories. By examining these categories, we can detect if the vocalizations contain anomalies similar to the vocalizations of children with autism. Additionally, we use a statistical method to analyze the sound distribution of the vocalizations. Once this analysis is completed, we provide you with an autism score within a range of 1-7, indicating whether a child is at-risk for autism. View a sample of the Autism Score Chart.
Based on a parent's answers to a 52-item questionnaire, we provide you with an expressive and receptive language developmental age in relation to a child’s chronological age. If a child’s developmental age is less than 75 percent of his or her chronological age, we will run an additional analysis on the recorded vocalizations of a child to provide a second layer of analysis. View the 52-item questionnaire.
The audio recording is also analyzed to provide you with valuable information about the quality of a child’s natural language environment, which has been shown to significantly impact a child’s language development. (Please remember, we do not look at the content of the recording, what was said or who is speaking.) The key language environment statistics we will report are:
Adult Words: The number of adult words spoken to the child during the recorded time period and the corresponding percentile information.Conversational Turns: The number of conversational turns, or vocal interactions between adult and child, during the recorded time period and the corresponding percentile information. Child Vocalizations: The number of vocalizations spoken by a child during the recorded time period and the corresponding percentile information. Television: The number of hours or minutes that a child was exposed to television during the recorded time period and the corresponding percentile information.
Percentile Information is calculated by comparing the language environment data to a research sample of 329 families.