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Automatic Speech Recognition (ASR) is a thriving technology, which permits an application to detect the spoken words or the speaker using computer. This work isfocused on speech recognition for children with Asperger’s Syndrome who belongs to the age group of five to ten. Asperger’s Syndrome (AS) is one of the spectrum disorders in Autism Spectrum Disorder (ASD) in which most of affected individuals have high levelof IQ and sound language skills. But thespectrum disorder restricts for communication and social interaction. The implementation of this workaccomplished through two different stages. In the first stage, an attempt is made to develop an Automatic Speech Recognition system, to identify the articulation disorder inchildren with Aspergers’ Syndrome (AS) on the basis of 14 Malayalam vowels. A deep autoencoder is used for pre-training in an unsupervised manner with 27,300 features that includes MelFrequency Cepstral Coefficients (MFCC), Zero Crossing, Formants 1, Formants 2 and Formants 3. An additional layer is added and fine-tuned to predict the target vowel sounds, which enhance the performance of the auto–encoder. In the second stage, Learning Assistive System for Autistic Child (LASAC)is envisioned to provide speech training as well as impaired speech analysis for Malayalam vowels. A feature vector is used to create the acoustic model and the Euclidean Distance formula is used to analyze the percentage of impairment in AS student’s speech by comparing their speech features against the acoustic model.LASAC provides an interactive interface that offers speech training, speech analysis and articulation tutorial. Most of the autistic students have difficulty to memorize words or letters but they are able to recollect pictures. This serves as a learning assistive system for Malayalam letters with their corresponding images and words. The DNN with auto-encoder has achieved an average accuracy of 65% with the impaired (autistic) dataset.

A Deep Learning Based Evaluation of Articulation Disorder and Learning Assistive System for Autistic Children