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Autism Screening Project (Audio (Syntax (Voice Api's are not very…

- - - - A neural network was designed to categorize the audio into "Adult, Autistic (blabbering and whining), Normal, Noise, Vegetative and Silence" depending on the contents of the audio.
        
        Databases were created using the output from the NN. Two databases were create;
        
        Contains a brief on all children who were documented. Contains the number of each audio type of each child.
        
        A table is created for each child. This contains the detailed information on the audio, the data is in order depending on the time it was uttered and contains the audio length and audio category for each audio segment.
  - - - Break down depending on what the child utters
        
        A program was designed that breaks down the audio into segments lower than 2s depending on the silence within it. The program utilizes parallel processing which reduces the time consumed drastically.
- - - - Is there a relationship between the meaningful and meaningless words of an Autistic child?
      - Is there a relationship between the number of utterances of a normal child and autistic child within a specific period of time?