Voice Input Voice Output Communication Aid, VIVO recognizes the disordered speech of the user and builds messages, which are converted into synthetic speech. Feature extraction techniques used- VAD and MFCC. Feature matching techniques used- VQ, HMM, ANN, and SVM. The model recognized the disordered speech of the user and built messages, which were converted into synthetic speech. Analysis of the percentage accuracy for recognition with codebook size showed that the performance of the proposed system increases with an increase in the number of centroids.